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Job Title: Vice President – Technology (VP Tech)

Company: Timble Technologies Pvt. Ltd

Location: Arjan Garh, New Delhi (On-site)

Experience: 15+ Years

About Timble AI

Timble Glance is a high-growth AI-powered RegTech and enterprise B2B SaaS platform delivering mission-critical solutions to the BFSI sector. Our infrastructure powers 30+ enterprise-grade APIs handling digital identity management, real-time fraud mitigation, automated compliance, and document intelligence. We engineer high-concurrency, resilient systems designed for extreme throughput, sub-second latency, and bank-grade data security.

Role Overview

As the Vice President – Technology, you will be the chief technical strategist and engineering executive driving Timble AI’s technical vision, platform modernization, and AI innovation. You will own the end-to-end architectural roadmap, lead cross-functional engineering pods, and scale high-volume distributed systems that safeguard critical financial data. This role requires an executive who combines boardroom strategic gravitas with deep hands-on engineering credibility, capable of bridging rapid B2B SaaS product iteration with rigorous BFSI regulatory standards.

Key Responsibilities

·       Technology Vision & Architectural Strategy: Define and execute a multi-year engineering roadmap across core product suites (Identity Verification, Fraud Detection Engines, and Document Intelligence), balancing cutting-edge feature delivery with enterprise-grade stability.

·       Large-Scale Platform Engineering: Oversee the architecture and performance of 30+ high-scale APIs, ensuring 99.9% uptime, sub-second latency, fault-tolerant concurrency, and strict "efficiency by design" across multi-tenant cloud environments.

·       AI/ML & Intelligent Engineering: Drive the productionization of proprietary AI/ML and Generative AI pipelines—moving capabilities from experimental R&D into secure, low-latency, scalable BFSI workflows while advancing patent-pending intellectual property (IP).

·       Cloud Architecture & FinOps: Direct cloud economics and infrastructure investments across AWS and GCP, establishing containerization, microservice modularity, automated CI/CD pipelines, and robust disaster recovery frameworks.

·       Information Security & Regulatory Compliance: Enforce bank-grade security protocols, data privacy governance, and industry-mandated regulatory compliance (ISO 27001, SOC2, RBI/BFSI data localization guidelines) to protect sensitive enterprise data.

·       People & Engineering Culture Leadership: Attract, mentor, and scale a world-class engineering organization (from SDE-1 to Principal Architects and Engineering Managers); institute rigorous code reviews, automated testing benchmarks, and clear career ladders.

·       Executive & Stakeholder Alignment: Partner directly with the Founder, C-suite, and Product Leadership to translate complex technological initiatives into clear business outcomes, enterprise client trust, and scalable revenue growth.

Required Qualifications & Experience

·       Experience: 15+ years of progressive software engineering and technology leadership experience, with significant tenure leading engineering organizations in Fintech, RegTech, or high-scale B2B SaaS.

·       Education: B.Tech / M.Tech in Computer Science or related engineering field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Core Technical Mastery: Deep hands-on expertise in no, distributed system design, microservices, asynchronous architectures, API gateways, and relational/NoSQL database engines (PostgreSQL, Redis, MongoDB).

·       Cloud & Infrastructure Rigor: Proven track record architecting enterprise systems on AWS/GCP, utilizing Docker, Kubernetes, Kafka/RabbitMQ, and modern APM/observability stacks.

·       AI Production Track Record: Demonstrated experience successfully deploying, monitoring, and scaling machine learning, computer vision, or NLP/LLM models in latency-critical production environments.

·       Governance & Delivery: Strong command of modern engineering methodologies (Agile, DevSecOps, TOGAF/ITIL principles) with a proven history of managing high-throughput, zero-downtime platforms.

Leadership Attributes

·       Technically Credible Executive: Capable of engaging in deep-dive architectural RFCs with engineering teams while articulating business impact and ROI to board members and enterprise BFSI clients.

·       Builder Mindset: Thrives in high-ownership, agile environments, successfully balancing rapid product velocity with uncompromised software quality and data integrity.

·       Force Multiplier: Focuses on institutionalizing robust engineering practices and developing leadership pipelines rather than relying on individual heroics.

·       https://timbleglance.com          

·       You can visit our website .

About the Role

We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.

This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.

This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.

Responsibilities

• Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
• Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
• Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
• Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
• Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
• Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
• Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
• Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.

Qualifications

• Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
• Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
• Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
• Advanced knowledge of Kubernetes and Terraform in production environments.
• Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
• Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
• Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
• Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
• Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
• Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
• Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
• Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
• We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for 

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

We are looking for a Python Backend Developer to design, build, and maintain scalable backend services and APIs. The role involves working with modern Python frameworks, databases (SQL and NoSQL), and building well-tested, production-grade systems.

You will collaborate closely with frontend developers, AI/ML engineers, and system architects to deliver reliable and high-performance backend solutions.

Key Responsibilities

• Design, develop, and maintain backend services using Python
• Build and maintain RESTful APIs using FastAPI
• Design efficient data models and queries using MongoDB and SQL databases (PostgreSQL/MySQL)
• Ensure high performance, security, and scalability of backend systems
• Write unit tests, integration tests, and API tests to ensure code reliability
• Debug, troubleshoot, and resolve production issues
• Follow clean code practices, documentation, and version control workflows
• Participate in code reviews and contribute to technical discussions
• Work closely with cross-functional teams to translate requirements into technical solutions

Required Skills & Qualifications

Technical Skills

• Strong proficiency in Python
• Hands-on experience with FastAPI
• Experience with MongoDB (schema design, indexing, aggregation)
• Solid understanding of SQL databases and relational data modelling
• Experience writing and maintaining automated tests
• Unit testing (e.g., pytest)
• API testing
• Understanding of REST API design principles
• Familiarity with Git and collaborative development workflows

Good to Have

• Experience with async programming in Python (async/await)
• Knowledge of ORMs/ODMs (SQLAlchemy, Tortoise, Motor, etc.)
• Basic understanding of authentication & authorisation (JWT, OAuth)
• Exposure to Docker / containerised environments
• Experience working in Agile/Scrum teams

What We Value

• Strong problem-solving and debugging skills
• Attention to detail and commitment to quality
• Ability to write testable, maintainable, and well-documented code
• Ownership mindset and willingness to learn
• Teamwork

What We Offer

• Opportunity to work on real-world, production systems
• Technically challenging problems and ownership of components
• Collaborative engineering culture

Job Description:

• Platform Architecture: Design and architect scalable, reliable, and high-performance solutions within the Gravity ecosystem.Provide expertise in structuring the Gravity platform, theme customization, and app integrations.
• Custom Development: Lead and participate in the development of custom features, functionalities, and applications on the Gravity platform. Collaborate with developers to ensure code quality, maintainability, and adherence to best practices.
• Integration Solutions: Develop and implement integration solutions between Gravity and third-party systems, ensuring seamless data flow and functionality.
• Performance Optimization:Analyze and optimize the performance of Gravity applications, addressing bottlenecks, and enhancing overall user experience.
• Security and Compliance: Implement robust security measures to safeguard Gravity applications and ensure compliance with industry standards and regulations.
• Technical Leadership: Provide technical leadership and guidance to the development team, fostering a culture of innovation, collaboration, and continuous improvement.
• Gravity App Development: Design and develop custom applications to enhance the functionality and features of the Gravity platform.
• Stay abreast of the latest Gravity updates, features, and best practices to ensure the platform is leveraging the latest advancements.

Desired Skills:

• Bachelor's or Master's degree in computer science, software engineering, or a related field.
• Minimum of 8 years of experience in Software Development, with at least 3 years as Software Architect.
• In-depth knowledge and hands-on experience with eCommerce architecture, customization capabilities, and application development.
• Proficient in app development, including RESTful APIs, GraphQL, and webhooks.
• Integration Proficiency: Strong expertise in integrating eCommerce with third-party systems and services.
• Performance Optimization: Demonstrated ability to optimize the performance of eCommerce applications, ensuring efficient and fast user experiences.
• Security and Compliance:Experience implementing security measures for eCommerce applications and ensuring compliance with relevant regulations.
• Leadership and Collaboration:Excellent leadership and collaboration skills, with the ability to work effectively with cross-functional teams.

Why Join Gravity:

• Embark on a journey with a forward-thinking and innovative IT technology consulting company.
• Competitive compensation package, featuring performance-based incentives.
• Prospects for career advancement within a rapidly expanding global organization.

Gravity is an equal opportunity employer. We celebrate diversity and remain committed to establishing an inclusive environment for all employees.

🚀Job Title : Senior Backend Engineer (Java / Golang) SDE 3

Experience : 5 to 12 Years

Positions : 4

Employment Type : C2H (Contract to Hire)

Contract Duration : 3 Months

Location : Remote during contract → Pune after conversion

Work Mode After Conversion : 5 Days WFO

Notice Period : Immediate / Serving Notice / Up to 15 Days preferred

Mandatory Skills : Golang (1+ year mandatory), 5+ years Backend Development, System Design, Distributed Systems, Microservices, REST / GraphQL APIs, Event-Driven Architecture, SQL & NoSQL Databases, AWS / GCP / Azure, Strong Problem-Solving & Communication Skills.

About the Role :

We are looking for an experienced Backend Engineer / SDE 3 with strong expertise in Java / Golang to design and build scalable, secure, and high-performance backend services and APIs.

The role involves hands-on coding, system design, microservices, distributed systems, and collaboration with engineering and infrastructure teams.

Must-Have Skills :

• 5+ years of backend development experience.
• Strong hands-on experience with Golang.
• Minimum 1+ year of Golang experience is mandatory.
• Strong understanding of System Design & Distributed Systems.
• Experience with REST / GraphQL APIs.
• Experience with Microservices and Event-Driven Architecture.
• Experience with Event Queues / Asynchronous Processing.
• Strong knowledge of Relational and NoSQL databases.
• Familiarity with AWS, GCP, or Azure.
• Strong communication and problem-solving skills.

Important Note for Java Candidates :

Java candidates can be considered only if they have at least 1+ year of hands-on Golang experience and are willing to work in Golang.

Candidates with less than 1 year of Golang experience will not be considered.

Good to Have :

• Experience in Fintech / Payments / Transaction-heavy systems
• Docker & Kubernetes
• Datadog / Prometheus / Grafana
• CI/CD experience
• Exposure to Java or Ruby

Key Responsibilities :

• Design, develop, and maintain scalable backend services using Golang.
• Build reliable, secure, and high-performance microservices and APIs.
• Implement event-driven and asynchronous processing systems.
• Work on system architecture, scalability, performance, and reliability.
• Participate in system design, code reviews, and technical discussions.
• Collaborate with mobile, web, and infrastructure teams.
• Develop unit, integration, and performance tests.
• Contribute to CI/CD, observability, documentation, and engineering best practices.

Interview Process :

Round 1 : Take-Home Coding Assessment – Submission within 48 hours

Round 2 : Code Pairing – Problem Extension

Round 3 : Culture Fitment

Role overview

The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.

We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.

This is not a CRUD‑only backend role.

You will work on:

• long‑running jobs
• distributed processing
• GPU inference orchestration
• storage for embeddings and metadata
• integration with AI models
• reliability and observability at scale

Key responsibilities

Media ingestion & processing pipelines

• Design and implement ingestion pipelines for multi‑hour video and audio content.
• Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
• Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
• Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.

API & platform architecture

• Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
• Define clear contracts for internal services and external integrations.
• Implement authentication, authorisation and rate‑limiting for platform endpoints.
• Ensure backward‑compatible API evolution as the product matures.

Model‑serving & AI integration

• Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
• Design request/response flows that handle large payloads, streaming outputs and structured results.
• Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
• Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.

Storage, data models & performance

• Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
• Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
• Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
• Optimise performance for large datasets and high‑volume workloads.

Reliability, observability & operations

• Implement logging, metrics and tracing across services for debugging and monitoring.
• Set up health checks, circuit breakers and graceful degradation for critical services.
• Work with CI/CD pipelines to ensure safe, repeatable deployments.
• Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.

Requirements (must‑have)

Experience:

• 4–8 years in backend or platform engineering.
• At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).

Languages & frameworks:

• Strong proficiency in Python or Node.js (one primary, both are a plus).
• Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).

Distributed systems & pipelines:

• Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
• Experience building asynchronous, long‑running job pipelines.
• Understanding of idempotency, retries, backoff, and failure handling.

APIs & integration:

• Strong experience designing and implementing REST APIs (gRPC is a plus).
• Experience integrating with external services and handling network‑level failures.

Cloud & infrastructure:

• Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
• Experience with Docker; exposure to Kubernetes is a strong plus.

Data & storage:

• Experience with SQL and at least one NoSQL store.
• Ability to design schemas and data models for performance and maintainability.

Engineering quality:

• Strong debugging skills across services and environments.
• Experience with unit/integration tests for backend systems.
• Clear, structured communication in English.

Nice‑to‑have

• Experience with media/video processing (FFmpeg, transcoding, segmenting).
• Experience with AI/ML model integration (serving models, handling inference requests).
• Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience working with remote teams across time zones.

What we are explicitly NOT looking for

To reduce noise and mismatches, we are not looking for:

• Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
• Engineers who have only worked on small, single‑service apps without scale or complexity.
• Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
• Candidates who are uncomfortable with ownership of subsystems end‑to‑end.

Why join us

• Work on real, complex problems at the intersection of media, AI and distributed systems.
• Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
• Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
• Operate with high ownership, clear expectations and direct access to the CTO.

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description

We're seeking an experienced Senior Backend Engineer/Tech Lead to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic. Also, guiding the mentoring the junior team members

Responsibilities

• Design, develop, and deploy backend systems, including APIs, databases, and server-side logic
• Write clean, efficient, and well-documented code that adheres to industry standards and best practices
• Code Quality: Ensure code quality through code reviews, adherence to best practices, and continuous improvement
• Mentorship: Guide and mentor team members, fostering growth and innovation
• Collaboration: Work closely with stakeholders to align technical goals with business objectives
• Problem-Solving: Analyze and resolve technical challenges promptly
• Innovation: Stay updated with the latest technology trends and integrate them into solutions

Requirements

• At least 5+ years of experience building scalable and reliable backend systems
• Strong expertise in NodeJS/NestJS, Express, PostgreSQL
• Experience with microservices architecture and distributed systems
• Proficiency in database design (SQL and NoSQL)
• Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines
• Deep understanding of design patterns, data structures, and algorithms
• Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes
• Familiarity with Frontend Development Technologies (React, JavaScript, HTML, CSS)
• Exceptional communication and leadership skills
• Strong understanding of object-oriented programming principles and design patterns
• Familiarity with automated testing frameworks and methodologies
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to effectively lead and maintain a collaborative team environment

Why Join Us?

• Opportunity to work on a cutting-edge healthcare product
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

Must Have's

• 3–6 years of experience in software development.
• Strong proficiency in Python.
• Experience building End-to-end B2B product mandatory. Product-based startup experience is critical
• Hands-on experience with TypeScript, ReactJS/NextJS, SQL & NoSQL databases, and AWS/GCP — all mandatory.
• Dont want candidates from service-based companies or EdTech backgrounds at all
• Well maintained GitHub profile is mandatory.

Process:

• Expo call with TA
• Tech Round
• Tech Assignment
• Tech Assignment Review
• Founder Round

Compensation

Fixed    : 20 LPA - 30 LPA

Variable: 0 LPA - 5 LPA

If interested kindly share your updated resume on 82 00 83 16 81

Senior Database Administrator (DBA)

Database Reliability & Performance  •  Senior Individual Contributor

• Experience: 6–9 years in production database administration / engineering
• Level: Senior Individual Contributor (hands-on)
• Function: Data Platform — reliability, performance, and governance across relational and distributed SQL & NoSQL DBs.

About the Role

We are hiring a Senior Database Administrator to own the health, performance, and reliability of the data layer behind a high-scale, multi-tenant platform. Our environment spans several independent PostgreSQL database instances, a cache-first read tier, change-data-capture pipeline, analytics and archival stores. Should be capable of implementing NoSQL stores (Cassandra / ScyllaDB) & MySQL  end to end as we scale.

This is a hands-on senior IC role for someone who has run demanding production databases and wants full ownership: partitioning and maintenance, performance tuning, monitoring, uptime, disaster recovery, and the security and data-governance documentation that keeps a regulated, multi-tenant platform audit-ready. You will work closely with, and take direction from, engineering leadership — translating priorities into a well-run, well-documented data platform.

What You'll Own

PostgreSQL Depth

• Administer multiple production PostgreSQL instances (v16+), including schema/DDL review, migrations, and release coordination.
• Design and maintain table partitioning strategies (range/hash/time-based) and automate partition lifecycle — creation, retention windows, and safe drops.
• Own query and instance performance tuning: EXPLAIN/ANALYZE, indexing strategy, autovacuum/bloat management, connection pooling (e.g. PgBouncer), and parameter-group tuning.
• Execute zero-downtime schema changes using expand–migrate–contract / blue-green patterns; assess lock impact and avoid long ACCESS EXCLUSIVE locks on hot tables.
• Manage replica topology (writer/reader endpoints), replication lag, and read-scaling as load grows.
• Partner with app teams on migration tooling (e.g. Flyway) and paired forward/rollback scripts; enforce idempotent, reviewed, tested DDL.

NoSQL & Scale

• Data-model, deploy, and operate distributed NoSQL clusters — Cassandra and/or ScyllaDB — including partition/clustering key design, compaction strategy, repair, and node operations (bootstrap, decommission, scale-out).
• Lead the planned migration of high-volume payload tables from partitioned PostgreSQL to Cassandra/ScyllaDB: capacity planning, dual-write/backfill design, cutover, and validation.
• Tune distributed-store read/write paths, consistency levels, and cluster sizing for predictable latency at scale.
• Support the cache-first architecture (Redis) and change-data-capture / streaming pipelines (e.g. Kafka) that move data to analytics and cold-archival stores.

Operations, Reliability & DR

• Own database uptime and SLOs; build and maintain monitoring, alerting, and dashboards for the key signals (latency, replication lag, CPU/IO, connections, vacuum lag, error rates).
• Define and regularly test backup and disaster-recovery strategy — RPO/RTO targets, point-in-time recovery, restore drills, and cross-AZ / future multi-region readiness.
• Drive incident response for database-related issues: triage, mitigation, root-cause analysis, and follow-up actions.
• Write and maintain runbooks (partition maintenance, failover, archival, DR, migration procedures) and participate in an on-call rotation for the data layer.
• Establish production-change discipline: pre-flight and post-deploy verification, rollback criteria, and backup verification before destructive operations.

Security, Governance & Documentation

• Implement and maintain database access control — least-privilege roles, schema-scoped permissions, and row-level security (RLS) for multi-tenant isolation.
• Own data-governance documentation: PII maps, per-table retention policies, audit-readiness, and the controls behind privacy-regulation compliance (e.g. GDPR / DPDP-style erasure and legal-hold workflows).
• Author and maintain architecture decision records (ADRs), schema documentation, and monitoring/runbook docs so the data platform is legible to the wider team.
• Uphold encryption-at-rest/in-transit posture and safe handling of sensitive columns; keep the data layer aligned with the platform's compliance requirements.

Coding & Automation Bar (Required)

This role is automation-first, not click-ops. The right candidate treats repetitive database work as something to script away and can drop into application code when a problem demands it.

• Strong scripting in Python and Bash for automation of maintenance, backups, partition management, backfills, and health checks.
• Comfortable with infrastructure-as-code (e.g. Terraform) and configuration management (e.g. Ansible) for reproducible database infrastructure.
• Solid SQL and PL/pgSQL; able to read and debug application-layer database code and, worst case, write or patch application code (e.g. Python/Node/Java) to unblock a fix.
• Fluent with Git-based workflows, code review, and CI for database migrations and tooling.

Required Qualifications

• 6–9 years operating relational databases in demanding production environments, with deep PostgreSQL expertise (internals, partitioning, replication, performance tuning).
• Hands-on experience running at least one distributed NoSQL store in production — Cassandra or ScyllaDB strongly preferred (other wide-column/distributed stores considered).
• Proven ownership of backup/DR, monitoring, and incident response for production databases.
• Strong scripting/automation background (Python, Bash) and experience with IaC.
• Experience with managed cloud databases (AWS RDS or equivalent) and understanding of instance/parameter-group tuning, replicas, and failover.
• Experience designing for multi-tenancy and data isolation at scale.
• Clear written communication — able to produce runbooks, ADRs, and governance docs a team can rely on.

Nice to Have

• Experience migrating workloads from PostgreSQL to Cassandra/ScyllaDB (or similar relational-to-distributed migrations).
• Familiarity with Redis as a cache tier and with CDC / streaming pipelines (e.g. Kafka, Debezium).
• Exposure to Flyway (or Liquibase), pgTAP or similar schema testing, and PgBouncer.
• Working knowledge of privacy regulations (GDPR, India DPDP) and audit/compliance processes.

How You Work

• Ownership mindset — takes a directive and runs it to done, with sound judgment on trade-offs.
• Reliability-first and detail-oriented; disciplined about verification, rollback, and documentation.
• Collaborative in a high-performing engineering team; communicates clearly with developers and leadership.
• Pragmatic and scale-aware — designs for where the platform is going, not just where it is.

AI Engineer (Preferred Years of Experience: 8 years)

We are seeking a highly skilled Full Stack AI Engineer to design, build, and scale intelligent applications across the full technology stack. This role combines strong backend and frontend engineering expertise with applied AI/ML implementation in enterprise cloud environments.

You will work closely with product managers, architects, data scientists, and DevOps teams to deliver production-grade AI-powered solutions that are secure, scalable, and aligned with business objectives.

This is a hands-on engineering role requiring experience across application development, AI model integration, cloud architecture, and DevSecOps practices.

Key Responsibilities

AI / Machine Learning

• Design and implement AI/ML solutions for real-world business use cases.
• Integrate ML models (e.g., forecasting, classification, NLP, computer vision) into production-grade applications.
• Develop APIs and services that expose AI capabilities securely and efficiently.
• Optimize model performance, latency, scalability, and monitoring in production.
• Implement model lifecycle management (training, deployment, monitoring, retraining).

Backend Development

• Design and develop scalable RESTful and/or GraphQL APIs.
• Build microservices-based architectures.
• Implement authentication, authorization, and secure API access.
• Develop data pipelines and integrate with structured and unstructured data sources.
• Ensure high availability, performance tuning, and observability.

Frontend Development

• Develop responsive, user-friendly web applications.
• Build interactive dashboards and AI-driven user experiences.
• Integrate frontend applications with backend AI services.
• Ensure accessibility, usability, and performance optimization.

Cloud & DevOps

• Deploy applications and models in cloud environments (Azure, AWS, or GCP).
• Implement CI/CD pipelines for application and model deployment.
• Apply infrastructure-as-code (Terraform, ARM, Bicep, etc.).
• Implement monitoring, logging, and alerting.
• Ensure security compliance and enterprise-grade governance.

Architecture & Collaboration

• Participate in solution architecture and design discussions.
• Translate business requirements into technical solutions.
• Collaborate with cross-functional teams (product, security, data, UX).
• Contribute to technical standards, best practices, and code reviews.

Required Qualifications

• 8 years of full stack software engineering experience.
• Hands-on AI/ML implementation in production environments.
• Strong proficiency in: Python (FastAPI, Flask, or Django), JavaScript/TypeScript (React, Angular, or Vue), REST API development
• Experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent).
• Experience deploying AI workloads in cloud environments (Azure ML, SageMaker, Vertex AI, etc.).
• Experience with relational and NoSQL databases.
• Strong understanding of software engineering principles and design patterns.
• Experience with Docker and container orchestration (Kubernetes preferred).
• Knowledge of secure coding practices and enterprise security standards.

Preferred Qualifications

• Experience with enterprise AI governance and responsible AI frameworks.
• Experience with MLOps and model monitoring tools.
• Knowledge of distributed systems and event-driven architectures.
• Experience with vector databases and semantic search (if applicable to organization).
• Experience in regulated industries (financial services, healthcare, public sector).
• Experience working in Agile/Scrum teams.

Key Competencies

• Strong problem-solving and analytical skills.
• Ability to translate complex AI concepts into scalable technical solutions.
• Excellent communication and stakeholder engagement skills.
• Ownership mindset with the ability to operate independently.
• Strong attention to performance, security, and maintainability.

We are seeking a skilled System Administrator and DevOps Engineer to join AmpereHour Energy, where you will play a crucial role in making sure our software systems run without downtime and our infrastructure scales well. This position involves working on cloud and physical servers across multiple operating systems and fundamental understanding of computers and networking.

At AmpereHour Energy, we are dedicated to advancing sustainable energy solutions. Our team thrives on collaboration and innovation, driving impactful projects that contribute to a greener future. We value expertise and creativity, making it an exciting place for tech professionals to grow.

If you are interested in this opportunity and meet the qualifications outlined in the job description, we encourage you to apply and explore how you can contribute to our mission.

Design, develop, and maintain ETL pipelines involving large-scale data.

Develop data processing and analytics applications primarily using PySpark and Python.

Build scalable and distributed data processing solutions using Apache Spark.

Develop and deploy data applications on AWS cloud.

Work with AWS services related to storage, compute, ETL, data warehousing, analytics, and streaming.

Implement distributed storage and processing solutions capable of handling high-volume datasets.

Design data processing applications with a focus on performance, scalability, reliability, and optimization.

Work with both SQL and NoSQL databases for data storage, processing, and analytics.

Write, optimize, and analyze SQL, HQL, and NoSQL queries.

Troubleshoot data pipeline and processing issues and ensure data quality and reliability.

Collaborate with data engineers, analysts, architects, and other technical teams to deliver data-driven solutions.

About AuxoAI:

AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.

We help our clients with accelerating their digital and AI journeys through:

• AI Application Development

• Data, Digital and Cloud acceleration using AI

• AI Native Product Engineering

We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

* Implement data governance and security best practices to ensure compliance and data integrity.

* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements :

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

* Strong programming skills in languages such as Python, Java, or Scala.

* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 10 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 10 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

🚀 Job Title : Senior Full Stack Developer (Backend Heavy)

Experience : 8 to 15 Years

Location : Kasturi Nagar, Bengaluru (On-site)

Work Mode : 5 Days Work From Office

Employment Type : Full-Time

Notice Period : Immediate Joiners or Candidates serving notice (LWD within 15–20 days)

About the Role :

PluginHive is looking for a Senior Full Stack Developer with strong backend expertise to build and scale high-volume SaaS applications. The ideal candidate should have hands-on experience in Node.js, React.js, and AWS, with a backend-heavy profile and the ability to independently own applications from development to production.

Mandatory Skills :

Node.js, React.js, AWS, JavaScript/TypeScript, REST APIs, Microservices, SQL/NoSQL, Docker, CI/CD, System Design

Key Responsibilities :

• Develop scalable applications using Node.js and React.js.
• Design and manage cloud infrastructure on AWS.
• Own application development, deployment, production support, and scalability.
• Build REST APIs and microservices.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Troubleshoot production issues and drive performance improvements.

Requirements :

• 8 to 15 years of software development experience.
• Strong hands-on experience in Node.js, React.js, and AWS.
• Experience managing high-volume production applications.
• Strong AWS architecture and cloud ownership experience.
• Good understanding of Docker, CI/CD, databases, and system design.
• Ability to work independently and lead technical decisions.

Hiring Process :

• Round 1 : Screening Call
• Round 2 : Online Technical Interview (Coding, DSA, Project Discussion)
• Round 3 : In-Person Technical Architect Round (System Design & Problem Solving)

What We're Looking For :

We are specifically looking for engineers who :

• Have a backend-heavy Full Stack profile (not frontend-heavy).
• Have independently owned production applications.
• Have hands-on AWS architecture and infrastructure experience.
• Can manage deployments, production issues, database changes, and application scaling.
• Are capable of leading technical decisions and solving complex engineering problems.
• Have worked without relying entirely on a separate DevOps or Cloud team.

Note : Candidates who have only basic AWS knowledge or rely on a separate DevOps team for deployments and infrastructure management will not be considered.

Role: GCP Data Engineer

Location: Bangalore. Chennai, Noida, Pune, Hyderabad

Experience: 5 years

Primary skills: Python, NOSQL, GCP concepts like Airflow, Big Query & Spanner, DAG, Composer for large dataset, Tidal tool

Role Descriptions:

Design| build| and maintain scalable data pipelines to support analytics| ML| and operational reporting.

Develop robust data ingestion| transformation| and integration workflows using Python| SQL| and modern data engineering frameworks.

Work with Google Cloud Platform (GCP) services| including Cloud Storage| Dataflow| PubSub| BigQuery| Cloud Spanner and Cloud Functions

Experience building data pipelines or backend data workflows using Python or similar languages

Job Title : Senior Software Engineer (Python, Golang, Node.js, Elixir, SQL)

Experience : 5+ Years

Location : Mumbai (Work From Office)

Employment Type : Full Time Opportunity

Job Summary :

We are looking for a Senior Software Engineer with strong backend development experience to build scalable, cloud-native applications and distributed systems.

The ideal candidate should have experience in product-based environments, designing microservices, REST APIs, and customer-facing production applications while collaborating with cross-functional teams.

Mandatory Skills :

Backend Development, Python, Golang, Node.js, Elixir, SQL, Cloud-Native Architecture, REST APIs, Microservices, Distributed Systems, Cloud Platforms, Relational & NoSQL Databases, Platform Engineering, CI/CD, Production Support, System Design

Key Responsibilities :

• Design and develop scalable backend services, REST APIs, and microservices.
• Build and enhance cloud-native, high-performance applications.
• Participate in architecture and system design discussions.
• Collaborate with Product, DevOps, Security, and Data Engineering teams.
• Troubleshoot production issues and optimize application performance.
• Mentor team members and contribute to engineering best practices.

Required Skills :

• 5+ years of software development experience in product-based organizations.
• Strong backend development using Python, Golang, Node.js, Elixir, or similar technologies.
• Experience with REST APIs, Microservices, SQL, and Distributed Systems.
• Strong understanding of cloud platforms and cloud-native architecture.
• Hands-on experience with relational and NoSQL databases.
• Familiarity with CI/CD, monitoring, and DevOps practices.

Preferred Skills :

• Experience building highly scalable distributed systems.
• Strong debugging, troubleshooting, and performance optimization skills.
• Familiarity with DevOps practices, CI/CD pipelines, monitoring, logging, and observability tools.
• Excellent communication, collaboration, and problem-solving abilities.
• Experience mentoring engineers and leading technical initiatives.

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,

manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.

Here’s a link to our website: www.impactanalytics.co.

Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.

Meet the Team: Rooted in AI and Engineering first principles, our cross-functional teams of ML and AI Engineers and Data Scientist thrive in a fast-paced, innovation-driven environment. We emphasize collaboration, continuous learning, and high-impact delivery. Our backend teams specialize in modern frameworks, data platforms, infrastructure engineering, DevOps practices, and scalable service architectures. Top performers are recognized, valued, and supported with ample growth opportunities.

Role Overview: This is a senior-level, individual contributor role focused on hands-on technical leadership in backend architecture. The role is centered around three core areas:

● Drive complex backend architecture initiatives that span across multiple engineering and technology domains.

● Lead strategic R&D efforts to evaluate new backend technologies, frameworks, and methodologies, and champion their adoption company-wide. ● Spearhead our Multi-Cloud & Hybrid-Cloud backend strategies, ensuring scalable, secure, and resilient architecture patterns.

What our ideal candidate may look like:

● 14+ years of software development experience, with at least 4 years as an Architect or Staff Engineer role, particularly in backend systems.

● A backend technology expert with in-depth, hands-on experience in building and scaling enterprise SaaS with distributed architecture, In depth knowledge of Rest and Event driven architecture with low latency and high-throughput in memory systems.

● Designing stateful backend to handle large data including message broker, distributed queue, caching. Good understanding of High Availability and Disaster recovery for the critical production system.

● In depth understanding of Async, Multi Threading and Multi Processing Architecture to ensure our system efficiently use the programming principle for higher concurrency support

● Proficiency in following programming languages (Python, Rust), with a strong foundation in software engineering principles. Knowledge of Rust is a strong plus, especially in the context of high-performance, memory safety and ownership.

● Deep understanding of system design, database architecture (SQL & NoSQL), microservices, observability, resilience engineering, and secure coding practices.

● Exposure to big data platforms, stream processing, machine learning infrastructure, and multi-cloud environments (e.g., AWS, GCP, Azure) is preferred.

● Excellent communicator and collaborator, with the ability to influence and align cross-functional stakeholders.

● Proven experience mentoring engineers and guiding architectural decisions at scale.

What We Offer

● Opportunity to lead large, high-impact projects for global Fortune 500 clients.

● Work in a high-growth startup environment with a flat, collegial culture.

● Best-in-class remuneration and benefits.

● A platform for personal and professional growth with ownership and autonomy.

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

Company Description

TECHSOPHY specializes in productizing solutions based on new technology, focusing on emerging platforms of BPM & ECM, Low Code, AI (ML/RPA/NLP). Founded in 2009, TECHSOPHY operates with headquarters in California, USA, and regional offices in Dubai, UAE, and an offshore innovation center in Hyderabad, India.

Qualifications

• Solid Fundamentals and exceptional problem-solving skills
• Solid and fluent understanding of algorithms and data structures
• Proficiency in Scala + Spark
• Proficiency in Scala + Play framework
• Experience Range: 4 to 7 Years

Requirement:

Some or all of them – because we believe intelligent people can pick up whatever they need in a short period of time. You just need to prove that you can:

• Excellent programming skills and knowledge of Java / Scala
• Excellent software design, problem-solving, and debugging skills
• Experience with modern Big Data technologies such as Spark, NoSQL, Cassandra, Kafka, MapReduce, and the Hadoop ecosystem is a must-have
• Experience with data analytics and the ability to mine data to obtain insights are much appreciated

Who are we?

Securin is an AI-driven cybersecurity company focused on proactive, adversarial exposure and

vulnerability management. Our mission is to help organizations reduce cyber risk by identifying,

prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat

researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence

/ machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to

deliver an adversarial approach to cyber defence. We help enterprises shift from reactive patching

to strategic, risk-based exposure and vulnerability management – driving smarter security decisions

and faster remediation.

What do we promise?

We are a highly effective tech-enabled cybersecurity solutions provider and promise continual

security posture improvement, enhanced attack surface visibility, and proactive prioritised

remediation for every one of our client businesses.

What do we provide?

● A chance to be on the leading edge of cybersecurity and AI

● Ability to have direct impact on company growth and revenue strategy

● An opportunity to mentor and be mentored by experts in multiple disciplines

What do we deliver?

Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities,

and risks in their environment. We deliver predictive and definitive intelligence and facilitate

proactive remediation to help organizations stay a step ahead of attackers.

By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their

security posture and protect their assets from even the most advanced and dynamic attacks.

Securin has been recognized by national and international organizations for its role in accelerating

innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge

technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the

industry.

Key Responsibilities:

● Develop and maintain Python-based applications, ensuring high quality, performance, and

maintainability.

● Apply object-oriented programming (OOP) principles and best practices to design and

implement software solutions.

● Collaborate with cross-functional teams to understand project requirements and contribute

to technical discussions.

● Utilize NoSQL databases, particularly MongoDB, to store and retrieve data efficiently.

● Implement and adhere to test-driven development (TDD) methodologies, writing unit tests

and integration tests for robust and reliable code.

● Work closely with team members to review code, provide constructive feedback, and improve

overall code quality.

● Participate in agile development processes, including sprint planning, daily stand-ups, and

retrospectives.

● Communicate effectively with team members and stakeholders to discuss project updates,

challenges, and solutions.

● Demonstrate a proactive attitude towards learning new technologies and acquiring new skills

to enhance professional growth.

● Stay up to date with industry trends, emerging technologies, and best practices in Python

development.

● 5-7 years hands on experience who can lead architect for features/modules, Mentors others

and ensures code quality, Identifies improvements to patterns, architecture, processes and

handles tough problems independently preferred.

● Knowledge of version control systems (e.g., Git) and collaborative development workflows.

● Familiarity with Agile/Scrum methodologies.

Requirements:

● Can articulate and comprehend communications within and outside the team.

● Is participative and able to present information both verbally and in writing in a way that others can easily understand.

● Is able to communicate commitments, set expectations and meet those.

● Ensures that they have the appropriate context and background prior to presenting information.

● Solicits ideas and inputs from other team members.

● Actively pursues opportunities to develop skills.

● Regularly encourages and recognizes others.

● Consistently can be counted on to identify problems when they occur.

● Independently able to research alternatives or define what data is relevant and can collect

appropriate information to bring to the conversation.

● Is able to independently evaluate options and choose the best solution when making a recommendation.

● Seeks out customer requirements and works to meet customer expectations.

● Viewed as effective by the customer.

● Realizes that customer supplier relationships go both ways.

● Effectively leads and motivates a team, sets clear goals and expectations, delegates tasks, and

communicates effectively.

● Actively engages in mentoring relationships, providing guidance and support to mentees,

helping them develop their skills and achieve their goals.

● Identifies improvements to patterns, architecture, processes.

● Handles tough problems independently.

● Influences architecture decisions for product/tech depts.

● Comfortable using frameworks to develop applications, with the ability to configure and utilize

key features and functionalities.

● Able to design and implement database schemas, write complex SQL queries, and perform

basic database administration tasks.

● Able to identify and apply appropriate design patterns in code to solve specific problems,

following best practices.

● Can deploy and manage applications on cloud platforms, utilize cloud services like storage,

messaging, and compute, and understand cloud-native principles to new technologies.

● Strong problem-solving and analytical thinking abilities.

About the Role

We are looking for a Senior Software Engineer (Node.js) to join our engineering team in Bengaluru. The ideal candidate will have strong experience building scalable backend applications, designing APIs, and working with modern software development practices.

Responsibilities

• Develop and maintain server-side applications using Node.js.
• Design and implement RESTful APIs.
• Integrate front-end components with backend services.
• Write clean, scalable, and maintainable code.
• Troubleshoot and resolve application issues.
• Optimize application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Participate in code reviews and follow software development best practices.

Requirements

• 3-6 years of experience in software development.
• Strong proficiency in JavaScript and Node.js.
• Experience with RESTful API development.
• Knowledge of SQL and/or NoSQL databases.
• Experience with Git and collaborative development workflows.
• Good problem-solving and communication skills.
• Bachelor's degree in Computer Science or related field.

Good to Have

• Docker
• Kubernetes
• Cloud Platforms
• Microservices Architecture
• Express.js
• MongoDB
• Docker
• Kubernetes
• Backend Development

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 12 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Role Overview

We’re hiring a Senior Backend Engineer who can build high-performance backend systems using Node.js. You’ll work on complex engineering problems, optimize for scale, and own features end-to-end.

Key Responsibilities

● Develop backend services, APIs, and microservices using Node.js frameworks (Express, Nest.js).

● Own modules end-to-end: design → implementation → testing → deployment.

● Write high-quality, testable, maintainable code.

● Optimize performance, scalability, and reliability across systems.

● Troubleshoot production issues, perform RCA, and improve stability.

● Work with databases (SQL & NoSQL), caching, and async processing.

● Collaborate with DevOps for CI/CD, deployments, and automation.

● Contribute to improving engineering standards, documentation, and processes

What we’re looking for:

● 4 to 7 years of hands-on backend development experience.

● Strong in Node.js, async patterns, TypeScript (preferred), and REST APIs.

● Solid understanding of: Data modeling Queues & background jobs Caching (Redis) API optimization

● Experience with relational DBs (PostgreSQL/MySQL) and NoSQL (DynamoDB/MongoDB/ Redis).

● Experience with messaging/queues: Kafka, RabbitMQ, SQS, or equivalent.

● Familiarity with Docker, Git, and CI/CD pipelines.

● Exposure to AWS or cloud infrastructure.

● Strong debugging and performance tuning skills.

● Ability to work in a fast-paced, startup-like environment.

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

For better insights:

https://drive.google.com/file/d/11UHgXqYc7XSJ3IAdFyEm-EurgOzqsmzA/view?usp=sharing

Solid Fundamentals and exceptional problem-solving skills

Solid and fluent understanding of algorithm and data structures

Proficiency in Scala + Spark

Experience Range: 3 to 7 Years

Requirement Some or all of them – because we believe intelligent people can pick up whatever they need in a short period of time. You just need to prove that you can:

Excellent programming skills and knowledge of Java / Scala

Excellent software design, problem solving and debugging skills

Experience with modern Big data technologies such as Spark, NoSQL, Cassandra, Kafka, Map Reduce, Hadoop ecosystem is a must have

Experience with data analytics and ability to mine data to obtain insights is much appreciated

Job description

Job Title: Application Developer

Location: Gurugram Haryana India

Employment Type: Full-time (Immediate joiner preferred )

Experience : 2-5 years (In Android and iOS both)

About Aaizel Tech:

Aaizel Tech is a fast-growing technology company focused on building scalable web and mobile applications. We specialize in cross-platform development using React Native, delivering seamless user experiences across Android, iOS, and web.

Driven by innovation and efficiency, we create high-performance digital solutions that solve real-world problems. At Aaizel Tech, we foster a culture of ownership, creativity, and continuous learning, empowering developers to build impactful products.

Role Overview:

We are looking for an experienced App Developer with strong expertise in developing, deploying, and maintaining scalable applications. The candidate should have a proven track record in app development across platforms, hands-on technical proficiency, and the ability to lead and mentor development teams.

Key Responsibilities:

• Lead mobile application development (Android, iOS, and cross-platform).
• Architect, design, and deliver scalable and secure app solutions.
• Collaborate with product, design, and backend teams to deliver seamless apps.
• Write clean, efficient, and reusable code while ensuring code reviews and best practices.
• Integrate third-party APIs, payment gateways and authentication services.
• Manage deployments and app store releases.
• Mentor junior developers and conduct technical training sessions.
• Stay current with latest frameworks, tools, and certifications relevant to app development.

Required Skills, Qualifications and Experience:

● Educational Background: Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.

● Experience: 2-5 years of hands-on mobile application development experience.

● Technical Skills:

• React Native, Native IOS & Andriod, React.js, AngularJS, Cordova, ExpressJS, ExtJS, Ionic, Java/J2EE, JMeter, JavaScript/jQuery, MongoDB/NoSQL DB, MySQL, PHP, PHP Yii, PL/SQL, React, Python, Dell Boomi, VB.NET.

Expertise in platforms/databases:

MySQL, MongoDB, Microsoft SQL, PostgreSQL, Redis, Docker.

Relevant Functional/Domain Expertise:

• API Integration & Authentication.
• Localisation of applications.
• Payment Gateway & SMS Gateway Integration.
• Digital Signature Integration, E-Sign, DigiLocker.
• Offline service capabilities, Single Sign-On (SSO).
• Interoperability and E-Commerce systems.

● Soft Skills:

○ Excellent problem-solving and analytical skills.

○ Strong communication skills with the ability to document and present technical information clearly.

○ Ability to work independently and as part of a multidisciplinary team.

What We Offer:

● Competitive salary aligned with industry standards.

● A collaborative and innovative work environment with access to advanced resources.

● Opportunities for professional growth and skill development.

● Engaging projects that challenge your technical expertise.

Required Core Tech Stack:

We're looking for engineers with hands-on experience across most of the following technologies:

• Python Backend Development (3+ years)
• FastAPI (2+ years of production experience required)
• PostgreSQL
• MongoDB
• Redis
• Docker
• Celery or equivalent async task queues
• REST APIs & Microservices
• AWS/GCP
• GitLab CI/CD

The selected Sr. Backend engineer will ship the backbone that powers 4 million + learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.

What You'll Do:

At LearnTube, we’re pushing the boundaries to revolutionize how the world learns. As a Senior Backend Engineer, your roles and responsibilities will include:

• Shipping Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95).
• Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily.
• Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch.
• Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes.
• Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week.
• Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend.
• Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team.
• Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in < 2 weeks.

What makes you a great fit?

Must-Haves (Applicants without these skills are unlikely to move forward):

• 3+ yrs Python back-end experience (FastAPI)
• Strong with Docker & container orchestration
• Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production
• SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals

Nice-to-Haves

• k8s at scale, Terraform,
• Experience with AI/ML inference services (LLMs, vector DBs)
• Observability: Prometheus, Grafana, OpenTelemetry

Why LearnTube?

• Build AI products at global scale – Your work will power learning experiences for 4M+ learners across 64 countries.
• Work directly with experienced founders – Collaborate closely with founders who are deeply involved in product and engineering decisions, giving you ownership and a direct impact on the product roadmap.
• Learn fast – Join a high-performing team where you'll own features end-to-end and solve challenging backend and distributed systems problems.
• Recognized AI startup – LearnTube is a Google Top 20 AI Startup and part of Google's AI First Startup Accelerator, with access to cutting-edge AI technology and mentorship.

Why Work With Us? 

At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:

• Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
• Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
• Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
• Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
• Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
• Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.

Backend Developer (4.5 – 7.5 Years Experience)

Company Description:

Idea Elan LLC is a product based company that provides comprehensive software solutionsfor

research facilities in Universities and Institutions worldwide.

Please visit www.IdeaElan.com for more information.

Key Responsibilities:

● Design and develop high-performance,scalable, and secure backend APIs and services

using .NET Core.

● Work withrelational (MS-SQL) andNoSQL (CosmosDB, MongoDB) databases to create

optimized data models and ensure data consistency and performance.

● Participate in code reviews and provide constructive feedback.

● Collaborate with front-end developers and other teams to deliver high-quality software.

● Write clean, maintainable, and efficient code while ensuring quality standards.

● Troubleshoot and debug complex issues, optimizing code for maximum performance and scalability.

● Stay updated with the latest trends in backend development and cloud technologies to drive innovation.

● Optimize database performance and ensure data integrity.

Required Experience:

● 4.5 -7.5 years of experience in backend development.

● Strong experience with .NET Core and building RESTful APIs.

● Proficient with MS-SQL and experience working with NoSQL databases like Cosmos DB and MongoDB.

● Hands-on experience with Azure Cloud services (e.g., Azure Functions, Azure Storage, API Management, Azure SQL Database,etc.).

● Understanding of software development principles such as object-oriented programming (OOP), design patterns, and SOLID principles.

● Experience with version control systems such as Git.

● Strong knowledge of asynchronous programming, microservices architecture, and cloud-native application design.

● Familiarity with CI/CD pipelines, containerization (Docker), and deployment automation is a plus.

● Excellent problem-solving and debugging skills.

● Ability to work in an Agile development environment and collaborate with cross-functional teams.

● Good communication and collaboration skills.

Role: Backend Developer

Experience: 3-6 years

Duration: 1–3 months

Tech Stack: .NET Core, MongoDB

Domain: Clinical/Healthcare (Preferred)

Responsibilities

• Develop and maintain REST APIs using .NET Core
• Design scalable backend services and microservices
• Implement data storage and retrieval using MongoDB
• Optimize database queries and application performance
• Integrate with external systems (APIs, FHIR etc.)
• Ensure data security and compliance (GxP/FDA preferred)
• Support debugging and production issue resolution

Required Skills

• Strong experience in .NET Core/ASP.NET Core
• Hands-on experience with MongoDB or NoSQL databases
• Experience in REST API development
• Knowledge of microservices architecture
• Familiarity with Git and CI/CD pipelines

Preferred

• Healthcare/Clinical Trial domain exposure
• Experience with Azure cloud deployments
• Understanding of FHIR or Healthcare Data Standards

Essential Functions/Responsibilities

• Provide hands-on development in the application development, unit test, and rollout of

strategic web and Mobile initiatives.

• Develop both front-end and back-end for web/mobile applications, working with a hybrid

internal/vendor team, to support various lines of business and functional areas

• Work with Business Owners and Business Analysis teams, to create business requirements.

• Document technical requirements and technical specifications for Web/Mobile

applications (and related integrated solutions) and provide technical solutions to support

those needs.

• Provide feedback (and approval) on technical designs and methods to support business

requirements.

• Effectively communicate relevant project planning and status information to

leadership/management.

• Deliver engaging, informa<ve, well-organized demos/presenta<ons that are effectively

tailored to the intended audience, as needed

Job Details

- Job Title: Senior Backend Engineer

- Industry: SAAS

- Function – Information Technology

- Experience Required: 5-8 years

- Working Days: 6 days a week, (5 days-in-office, Saturdays WFH)

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: AWS, NodeJS, RESTful APIs, NoSQL

Criteria

· Minimum 5+ years in backend engineering with strong system design expertise

· Experience building scalable systems from scratch

· Expert-level proficiency in Node.js

· Deep understanding of distributed systems

· Strong NoSQL design skills

· Hands-on AWS cloud experience

· Proven leadership and mentoring capability

· Preferred candidates from SAAS/Software/IT Services based startups or scaleup companies

Job Description

The Role:

What You’ll Build:

1. System Architecture & Design

● Architect highly scalable backend systems from the ground up

● Define technology choices: frameworks, databases, queues, caching layers

● Evaluate microservices vs monoliths based on product stage

● Design REST, GraphQL, and real-time WebSocket APIs

● Build event-driven systems for asynchronous processing

● Architect multi-tenant systems with strict data isolation

● Maintain architectural documentation and technical specs

2. Core Backend Services

● Build high-performance APIs for 3D content, XR experiences, analytics, and user interactions

● Create 3D asset processing pipelines for uploads, conversions, and optimization

● Develop distributed job workers for CPU/GPU-intensive tasks

● Build authentication/authorization systems (RBAC)

● Implement billing, subscription, and usage metering

● Build secure webhook systems and third-party integration APIs

● Create real-time collaboration features via WebSockets/SSE

3. Data Architecture & Databases

● Design scalable schemas for 3D metadata, XR sessions, and analytics

● Model complex product catalogs with variants and hierarchies

● Implement Redis-based caching strategies

● Build search and indexing systems (Elasticsearch/Algolia)

● Architect ETL pipelines and data warehouses

● Implement sharding, partitioning, and replication strategies

● Design backup, restore, and disaster recovery workflows

4. Scalability & Performance

● Build systems designed for 10x–100x traffic growth

● Implement load balancing, autoscaling, and distributed processing

● Optimize API response times and database performance

● Implement global CDN delivery for heavy 3D assets

● Build rate limiting, throttling, and backpressure mechanisms

● Optimize storage and retrieval of large 3D files

● Profile and improve CPU, memory, and network performance

5. Infrastructure & DevOps

● Architect AWS infrastructure (EC2, S3, Lambda, RDS, ElastiCache)

● Build CI/CD pipelines for automated deployments and rollbacks

● Use IaC tools (Terraform/CloudFormation) for infra provisioning

● Set up monitoring, logging, and alerting systems

● Use Docker + Kubernetes for container orchestration

● Implement security best practices for data, networks, and secrets

● Define disaster recovery and business continuity plans

6. Integration & APIs

● Build integrations with Shopify, WooCommerce, Magento

● Design webhook systems for real-time events

● Build SDKs, client libraries, and developer tools

● Integrate payment gateways (Stripe, Razorpay)

● Implement SSO and OAuth for enterprise customers

● Define API versioning and lifecycle/deprecation strategies

7. Data Processing & Analytics

● Build analytics pipelines for engagement, conversions, and XR performance

● Process high-volume event streams at scale

● Build data warehouses for BI and reporting

● Develop real-time dashboards and insights systems

● Implement analytics export pipelines and platform integrations

● Enable A/B testing and experimentation frameworks

● Build personalization and recommendation systems

Technical Stack:

1. Backend Languages & Frameworks 

●  Primary: Node.js (Express, NestJS), Python (FastAPI, Django)

●  Secondary: Go, Java/Kotlin (Spring)

●  APIs: REST, GraphQL, gRPC

2. Databases & Storage

● SQL: PostgreSQL, MySQL

● NoSQL: MongoDB, DynamoDB

● Caching: Redis, Memcached

● Search: Elasticsearch, Algolia

● Storage/CDN: AWS S3, CloudFront

● Queues: Kafka, RabbitMQ, AWS SQS

3. Cloud & Infrastructure: 

● Cloud: AWS (primary), GCP/Azure (nice to have)

● Compute: EC2, Lambda, ECS, EKS

● Infrastructure: Terraform, CloudFormation

● CI/CD: GitHub Actions, Jenkins, CircleCI

● Containers: Docker, Kubernetes

4. Monitoring & Operations 

● Monitoring: Datadog, New Relic, CloudWatch

● Logging: ELK Stack, CloudWatch Logs

● Error Tracking: Sentry, Rollbar

● APM tools

5. Security & Auth

● Auth: JWT, OAuth 2.0, SAML

● Secrets: AWS Secrets Manager, Vault

● Security: Encryption (at rest/in transit), TLS/SSL, IAM

What We’re Looking For:

1. Must-Haves

● 5+ years in backend engineering with strong system design expertise

● Experience building scalable systems from scratch

● Expert-level proficiency in at least one backend stack (Node, Python, Go, Java)

● Deep understanding of distributed systems and microservices

● Strong SQL/NoSQL design skills with performance optimization

● Hands-on AWS cloud experience

● Ability to write high-quality production code daily

● Experience building and scaling RESTful APIs

● Strong understanding of caching, sharding, horizontal scaling

● Solid security and best-practice implementation experience

● Proven leadership and mentoring capability

2. Highly Desirable

● Experience with large file processing (3D, video, images)

● Background in SaaS, multi-tenancy, or e-commerce

● Experience with real-time systems (WebSockets, streams)

● Knowledge of ML/AI infrastructure

● Experience with HA systems, DR planning

● Familiarity with GraphQL, gRPC, event-driven systems

● DevOps/infrastructure engineering background

● Experience with XR/AR/VR backend systems

● Open-source contributions or technical writing

● Prior senior technical leadership experience

Technical Challenges You’ll Solve:

● Designing large-scale 3D asset processing pipelines

● Serving XR content globally with ultra-low latency

● Scaling from thousands to millions of daily requests

● Efficiently handling CPU/GPU-heavy workloads

● Architecting multi-tenancy with complete data isolation

● Managing billions of analytics events at scale

● Building future-proof APIs with backward compatibility

Why company:

● Architectural Ownership: Build foundational systems from scratch

● Deep Technical Work: Solve distributed systems and scaling challenges

● Hands-On Impact: Design and code mission-critical infrastructure

● Diverse Problems: APIs, infra, data, ML, XR, asset processing

● Massive Scale Opportunity: Build systems for exponential growth

● Modern Stack and best practices

● Product Impact: Your architecture directly powers millions of users

● Leadership Opportunity: Shape engineering culture and direction

● Learning Environment: Stay at the forefront of backend engineering

● Backed by AWS, Microsoft, Google

Location & Work Culture:

● Location: Bengaluru

● Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)

● Culture: Builder mindset, strong ownership, technical excellence

● Team: Small, highly skilled backend and infra team

● Resources: AWS credits, latest tooling, learning budget

Java Developer (6+ Years Experience)

We are looking for an experienced Java Developer to join our dynamic team for an exciting project with a leading client.

 Role Details:

 Location: Bangalore

 Key Requirements:

 6+ years of hands-on experience in Java development

 Strong expertise in Core Java, Spring Boot, Microservices

 Experience with REST APIs & backend development

 Good understanding of databases (SQL/NoSQL)

 Familiarity with Agile methodologies

Description

Join company as a Backend Developer and become a pivotal force in building the robust, scalable services that power our innovative platforms. In this role, you will design, develop, and maintain server‑side applications, ensuring high performance and reliability for millions of users. You’ll collaborate closely with cross‑functional product, front‑end, and DevOps teams to translate business requirements into clean, efficient code, while participating in code reviews and architectural discussions. Our dynamic environment encourages continuous learning, offering opportunities to work with cutting‑edge technologies, cloud infrastructures, and modern development practices. As a key contributor, your work will directly impact product quality, user satisfaction, and the overall success of company's mission to streamline hiring solutions.

Requirements:

• 1–15 years of professional experience in backend development, with a strong focus on building APIs and microservices.
• Proficiency in server‑side languages such as Python, Java, Node.js, or Go, and solid understanding of object‑oriented and functional programming paradigms.
• Extensive experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis), including schema design and query optimization.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes.
• Hands‑on experience with version control (Git), CI/CD pipelines, and automated testing frameworks.
• Strong problem‑solving abilities, effective communication skills, and a collaborative mindset for working within multidisciplinary teams.

Roles and Responsibilities:

• Design, develop, and maintain high‑throughput backend services and RESTful APIs that support core product features.
• Implement data models and storage solutions, ensuring data integrity, security, and optimal performance.
• Collaborate with front‑end engineers, product managers, and designers to define technical requirements and deliver end‑to‑end solutions.
• Participate in code reviews, provide constructive feedback, and uphold coding standards and best practices.
• Monitor, troubleshoot, and optimize production systems, implementing robust logging, alerting, and performance tuning.
• Contribute to the continuous improvement of development workflows, including CI/CD automation, testing strategies, and deployment processes.
• Stay current with emerging technologies and industry trends, proposing innovative approaches to enhance system architecture.

Budget:

• Job Type: payroll
• Experience Range: 1–15 years

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)

Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader

📍Location: Bengaluru, India (Hybrid / On-Site)

🏢Sector: Technology, Information & Media

👥Company Size: 500 – 1,000 Employees

💼Employment: Full-Time, Permanent

🎯Experience: 6 – 9 Years (Backend Engineering)

🚀 Level: Tech Lead

ABOUT THIS MANDATE

Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.

This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.

We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.

THE OPPORTUNITY AT A GLANCE

🏗️ Architecture Ownership

Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.

🤖 AI-Augmented Engineering

Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.

🎓 Engineering Leadership

Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.

KEY RESPONSIBILITIES

1. Architecture & Platform Modernisation

• Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
• Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
• Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
• Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
• Establish backend design standards, coding guidelines, and architectural review processes

2. Distributed Systems Engineering (Production-Grade)

• Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
• Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls
• Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
• Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
• Apply Saga orchestration and choreography patterns for distributed transaction integrity
• Execute zero-downtime deployments and canary release strategies with rollback capability
• Design and enforce multi-region disaster recovery and business continuity protocols

3. AI-Driven Engineering Practices

• Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
• Apply prompt engineering techniques for automated code generation, review, and documentation workflows
• Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
• Build automation-first pipelines that reduce toil and accelerate delivery velocity
• Evaluate and integrate emerging AI developer tools into the engineering ecosystem

4. Engineering Leadership & Culture

• Own backend platforms end-to-end with full accountability across development, stability, and performance
• Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
• Drive and lead technical hiring — from designing assessments to final hire decisions
• Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
• Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
• Foster a culture of technical excellence, psychological safety, and high-velocity delivery

TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)

Languages: Java (primary) · Go · Python · Node.js · PHP · Rust

Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)

Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)

Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch

Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub

Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack

CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible

AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor

QUALIFICATIONS & CANDIDATE PROFILE

Education

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution — CS, IS, ECE, AI/ML streams strongly preferred
• Exceptional real-world engineering track record may be considered in lieu of institution pedigree

Experience

• 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
• Proven track record of shipping and scaling production SaaS / Product systems at significant user load
• Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
• Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
• Demonstrated career stability — minimum 2 years average tenure per organisation
• The Ideal Candidate Exemplifies
• System-level thinking with an ability to hold context across code, architecture, product, and business
• An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
• Strong written and verbal communication skills for asynchronous, cross-functional collaboration
• Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
• Bias for automation, observability, and engineering efficiency at every level
• A mentor's instinct — genuine desire to grow others and raise the capability of the team around them

WHY THIS ROLE STANDS APART

✅ Transformational Scope

Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.

✅ AI-Forward Engineering Culture

Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.

✅ Established, Stable Platform

Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.

✅ Career-Defining Leadership

Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.

HOW TO APPLY

This search is being managed exclusively by Recruiting Bond

Submit your application with an updated resume

Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.

⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.

Recruiting Bond | Bengaluru, Karnataka, India | 2026

JOB DETAILS:

* Job Title: Lead II - Software Engineering - AWS, Apache Spark (PySpark/Scala), Apache Kafka

* Industry: Global digital transformation solutions provider

* Salary: Best in Industry

* Experience: 5-8 years

* Location: Hyderabad

Job Summary

We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The role involves working with large-scale batch and real-time data processing systems, collaborating with cross-functional teams, and ensuring data reliability, security, and performance across the data lifecycle.

Key Responsibilities

ETL Pipeline Development & Optimization

• Design, develop, and maintain complex end-to-end ETL pipelines for large-scale data ingestion and processing.
• Optimize data pipelines for performance, scalability, fault tolerance, and reliability.

Big Data Processing

• Develop and optimize batch and real-time data processing solutions using Apache Spark (PySpark/Scala) and Apache Kafka.
• Ensure fault-tolerant, scalable, and high-performance data processing systems.

Cloud Infrastructure Development

• Build and manage scalable, cloud-native data infrastructure on AWS.
• Design resilient and cost-efficient data pipelines adaptable to varying data volume and formats.

Real-Time & Batch Data Integration

• Enable seamless ingestion and processing of real-time streaming and batch data sources (e.g., AWS MSK).
• Ensure consistency, data quality, and a unified view across multiple data sources and formats.

Data Analysis & Insights

• Partner with business teams and data scientists to understand data requirements.
• Perform in-depth data analysis to identify trends, patterns, and anomalies.
• Deliver high-quality datasets and present actionable insights to stakeholders.

CI/CD & Automation

• Implement and maintain CI/CD pipelines using Jenkins or similar tools.
• Automate testing, deployment, and monitoring to ensure smooth production releases.

Data Security & Compliance

• Collaborate with security teams to ensure compliance with organizational and regulatory standards (e.g., GDPR, HIPAA).
• Implement data governance practices ensuring data integrity, security, and traceability.

Troubleshooting & Performance Tuning

• Identify and resolve performance bottlenecks in data pipelines.
• Apply best practices for monitoring, tuning, and optimizing data ingestion and storage.

Collaboration & Cross-Functional Work

• Work closely with engineers, data scientists, product managers, and business stakeholders.
• Participate in agile ceremonies, sprint planning, and architectural discussions.

Skills & Qualifications

Mandatory (Must-Have) Skills

1. AWS Expertise

• Hands-on experience with AWS Big Data services such as EMR, Managed Apache Airflow, Glue, S3, DMS, MSK, and EC2.
• Strong understanding of cloud-native data architectures.

1. Big Data Technologies

• Proficiency in PySpark or Scala Spark and SQL for large-scale data transformation and analysis.
• Experience with Apache Spark and Apache Kafka in production environments.

1. Data Frameworks

• Strong knowledge of Spark DataFrames and Datasets.

1. ETL Pipeline Development

• Proven experience in building scalable and reliable ETL pipelines for both batch and real-time data processing.

1. Database Modeling & Data Warehousing

• Expertise in designing scalable data models for OLAP and OLTP systems.

1. Data Analysis & Insights

• Ability to perform complex data analysis and extract actionable business insights.
• Strong analytical and problem-solving skills with a data-driven mindset.

1. CI/CD & Automation

• Basic to intermediate experience with CI/CD pipelines using Jenkins or similar tools.
• Familiarity with automated testing and deployment workflows.

Good-to-Have (Preferred) Skills

• Knowledge of Java for data processing applications.
• Experience with NoSQL databases (e.g., DynamoDB, Cassandra, MongoDB).
• Familiarity with data governance frameworks and compliance tooling.
• Experience with monitoring and observability tools such as AWS CloudWatch, Splunk, or Dynatrace.
• Exposure to cost optimization strategies for large-scale cloud data platforms.

Skills: big data, scala spark, apache spark, ETL pipeline development

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Hyderabad

Note: If a candidate is a short joiner, based in Hyderabad, and fits within the approved budget, we will proceed with an offer

F2F Interview: 14th Feb 2026

3 days in office, Hybrid model.

JOB DETAILS:

* Job Title: Engineering Manager

* Industry: Technology

* Salary: Best in Industry

* Experience: 9-12 years

* Location: Bengaluru

* Education: B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Role & Responsibilities

We are seeking a visionary and decisive Engineering Manager to join our dynamic team. In this role, you will lead and inspire a talented team of software engineers, driving innovation and excellence in product development efforts. This is an exciting opportunity to influence and shape the future of our engineering organization.

Key Responsibilities-

As an Engineering Manager, you will be responsible for managing the overall software development life cycle of one product. You will work and manage a cross-functional team consisting of Backend Engineers, Frontend Engineers, QA, SDET, Product Managers, Product Designers, Technical Project Managers, Data Scientists, etc.

• Responsible for mapping business objectives to an optimum engineering structure, including correct estimation of resource allocation.
• Responsible for key technical and product decisions. Provide direction and mentorship to the team. Set up best practices for engineering.
• Work closely with the Product Manager and help them in getting relevant inputs from the engineering team.
• Plan and track the development and release schedules, proactively assess and mitigate risks. Prepare for contingencies and provide visible leadership in crisis.
• Conduct regular 1:1s for performance feedback and lead their appraisals.
• Responsible for driving good coding practices in the team like good quality code, documentation, timely bug fixing, etc.
• Report on the status of development, quality, operations, and system performance to management.
• Create and maintain an open and transparent environment that values speed and innovation and motivates engineers to build innovative and effective systems rapidly.

Ideal Candidate

• Strong Engineering Manager / Technical Leadership Profile
• Must have 9+ years of experience in software engineering with experience building complex, large-scale products
• Must have 2+ years of experience as an Engineering Manager / Tech Lead with people management responsibilities
• Strong technical foundation with hands-on experience in Java (or equivalent compiled language), scripting languages, web technologies, and databases (SQL/NoSQL)
• Proven ability to solve large-scale technical problems and guide teams on architecture, design, quality, and best practices
• Experience in leading cross-functional teams, planning and tracking delivery, mentoring engineers, conducting performance reviews, and driving engineering excellence
• Must have strong experience working with Product Managers, UX designers, QA, and other cross-functional partners
• Excellent communication and interpersonal skills to influence technical direction and stakeholder decisions
• (Company): Product companies
• Must have stayed for at least 2 years with each of the previous companies
• (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Job Details

- Job Title: SDE-3

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 5-8 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Role & Responsibilities

As a Software Development Engineer - 3, Backend Engineer at company, you will play a critical role in architecting, designing, and delivering robust backend systems that power our platform. You will lead by example, driving technical excellence and mentoring peers while solving complex engineering problems. This position offers the opportunity to work with a highly motivated team in a fast-paced and innovative environment.

Key Responsibilities:

Technical Leadership-

• Design and develop highly scalable, fault-tolerant, and maintainable backend systems using Java and related frameworks.
• Provide technical guidance and mentorship to junior developers, fostering a culture of learning and growth.
• Review code and ensure adherence to best practices, coding standards, and security guidelines.

System Architecture and Design-

• Collaborate with cross-functional teams, including product managers and frontend engineers, to translate business requirements into efficient technical solutions.
• Own the architecture of core modules and contribute to overall platform scalability and reliability.
• Advocate for and implement microservices architecture, ensuring modularity and reusability.

Problem Solving and Optimization-

• Analyze and resolve complex system issues, ensuring high availability and performance of the platform.
• Optimize database queries and design scalable data storage solutions.
• Implement robust logging, monitoring, and alerting systems to proactively identify and mitigate issues.

Innovation and Continuous Improvement-

• Stay updated on emerging backend technologies and incorporate relevant advancements into our systems.
• Identify and drive initiatives to improve codebase quality, deployment processes, and team productivity.
• Contribute to an advocate for a DevOps culture, supporting CI/CD pipelines and automated testing.

Collaboration and Communication-

• Act as a liaison between the backend team and other technical and non-technical teams, ensuring smooth communication and alignment.
• Document system designs, APIs, and workflows to maintain clarity and knowledge transfer across the team.

Ideal Candidate

• Strong Java Backend Engineer.
• Must have 5+ years of backend development with strong focus on Java (Spring / Spring Boot)
• Must have been SDE-2 for at least 2.5 years
• Hands-on experience with RESTful APIs and microservices architecture
• Strong understanding of distributed systems, multithreading, and async programming
• Experience with relational and NoSQL databases
• Exposure to Kafka/RabbitMQ and Redis/Memcached
• Experience with AWS / GCP / Azure, Docker, and Kubernetes
• Familiar with CI/CD pipelines and modern DevOps practices
• Product companies (B2B SAAS preferred)
• have stayed for at least 2 years with each of the previous companies
• (Education): B.Tech in computer science from Tier 1, Tier 2 colleges

Job Details

- Job Title: Staff Engineer

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 9-12 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Role & Responsibilities

As a Staff Engineer at company, you will play a critical role in defining and driving our backend architecture as we scale globally. You’ll own key systems that handle high volumes of data and transactions, ensuring performance, reliability, and maintainability across distributed environments.

Key Responsibilities-

• Own one or more core applications end-to-end, ensuring reliability, performance, and scalability.
• Lead the design, architecture, and development of complex, distributed systems, frameworks, and libraries aligned with company’s technical strategy.
• Drive engineering operational excellence by defining robust roadmaps for system reliability, observability, and performance improvements.
• Analyze and optimize existing systems for latency, throughput, and efficiency, ensuring they perform at scale.
• Collaborate cross-functionally with Product, Data, and Infrastructure teams to translate business requirements into technical deliverables.
• Mentor and guide engineers, fostering a culture of technical excellence, ownership, and continuous learning.
• Establish and uphold coding standards, conduct design and code reviews, and promote best practices across teams.
• Stay ahead of the curve on emerging technologies, frameworks, and patterns to strengthen company’s technology foundation.
• Contribute to hiring by identifying and attracting top-tier engineering talent.

Ideal Candidate

• Strong staff engineer profile
• Must have 9+ years in backend engineering with Java, Spring/Spring Boot, and microservices building large and schalable systems
• Must have been SDE-3 / Tech Lead / Lead SE for at least 2.5 years
• Strong in DSA, system design, design patterns, and problem-solving
• Proven experience building scalable, reliable, high-performance distributed systems
• Hands-on with SQL/NoSQL databases, REST/gRPC APIs, concurrency & async processing
• Experience in AWS/GCP, CI/CD pipelines, and observability/monitoring
• Excellent ability to explain complex technical concepts to varied stakeholders
• Product companies (B2B SAAS preferred)
• Must have stayed for at least 2 years with each of the previous companies
• (Education): B.Tech in computer science from Tier 1, Tier 2 colleges

Job Title : Senior Backend Developer (Node.js + AWS + MongoDB)

Experience : 4+ Years

Location : Andheri, Mumbai (Work From Office)

About the Role :

We are looking for a highly skilled Senior Backend Developer with strong expertise in Node.js (NestJS), AWS, and MongoDB to join our growing engineering team.

This role requires someone who takes ownership, is proactive, and enjoys building scalable, high-performance backend systems in a fast-paced environment.

Key Responsibilities :

• Architect, design, and develop scalable backend services using Node.js (NestJS).
• Design and manage cloud infrastructure on AWS Services (EC2, ECS, RDS, Lambda, etc.).
• Develop and maintain high-performance database solutions using MongoDB.
• Work with Kafka, Docker, and serverless frameworks (SST) for efficient deployments.
• Optimize system performance, scalability, and reliability across services.
• Ensure application security, best practices, and compliance standards.
• Collaborate with cross-functional teams to deliver robust product features.
• Take end-to-end ownership of features from design to deployment.

Technical Requirements :

• 4+ years of backend development experience.
• 3+ years of hands-on experience with Node.js.
• 2+ years of hands-on experience with AWS.
• Strong experience with NestJS framework.
• Solid experience with MongoDB and database design.
• Experience with Kafka, Docker, and serverless architecture.
• Understanding of system design, scalability, and performance optimization.

Good to Have (Bonus Skills) :

• Experience with Python or other backend languages.
• Exposure to Agentic AI use cases or implementations.
• Strong understanding of security best practices.

What We’re Looking For :

• Curious mindset and eagerness to learn new technologies.
• Proactive problem solver with strong ownership attitude.
• Strong team player with effective communication skills.
• Positive, energetic, and passionate about building great systems.

Review Criteria

• Strong Senior Backend Engineer profiles
• Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems
• Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).
• Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework
• Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization
• Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices
• Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)
• (Company) – Must have worked in product companies / startups, preferably Series A to Series D
• (Education) – Candidates from top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

Role & Responsibilities

As a Founding Engineer at company, you'll join our engineering team during an exciting growth phase, contributing to a platform that handles complex financial operations for B2B companies. You'll work on building scalable systems that automate billing, usage metering, revenue recognition, and financial reporting—directly impacting how businesses manage their revenue operations.

This role is perfect for someone who thrives in a dynamic startup environment where requirements evolve quickly and problems need creative solutions. You'll work on diverse technical challenges, from API development to external integrations, while collaborating with senior engineers, product managers, and customer success teams.

Key Responsibilities-

• Build core platform features: Develop robust APIs, services, and integrations that power company’s billing automation and revenue recognition capabilities
• Work across the full stack: Contribute to both backend services and frontend interfaces, ensuring seamless user experiences
• Implement critical integrations: Connect company with external systems including CRMs, data warehouses, ERPs, and payment processors
• Optimize for scale: Build systems that handle complex pricing models, high-volume usage data, and real-time financial calculations
• Drive quality and best practices: Write clean, maintainable code while participating in code reviews and architectural discussions
• Solve complex problems: Debug issues across the stack and work closely with teams to address evolving client needs

The Impact You'll Make-

• Power business growth: Your code will directly enable billing and revenue operations for fast-growing B2B companies, helping them scale without operational bottlenecks
• Build critical financial infrastructure: Contribute to systems handling millions in transactions while ensuring accurate, compliant revenue recognition
• Shape product direction: Join during our scaling phase where your contributions immediately impact product evolution and customer success
• Accelerate your expertise: Gain deep knowledge in financial systems, B2B SaaS operations, and enterprise software while working with industry veterans
• Drive the future of B2B commerce: Help create infrastructure powering next-generation pricing models from usage-based to value-based billing.

Job Summary

We are looking for an experienced Python DBA with strong expertise in Python scripting and SQL/NoSQL databases. The candidate will be responsible for database administration, automation, performance optimization, and ensuring availability and reliability of database systems.

Key Responsibilities

• Administer and maintain SQL and NoSQL databases
• Develop Python scripts for database automation and monitoring
• Perform database performance tuning and query optimization
• Manage backups, recovery, replication, and high availability
• Ensure data security, integrity, and compliance
• Troubleshoot and resolve database-related issues
• Collaborate with development and infrastructure teams
• Monitor database health and performance
• Maintain documentation and best practices

Required Skills

• 10+ years of experience in Database Administration
• Strong proficiency in Python
• Experience with SQL databases (PostgreSQL, MySQL, Oracle, SQL Server)
• Experience with NoSQL databases (MongoDB, Cassandra, etc.)
• Strong understanding of indexing, schema design, and performance tuning
• Good analytical and problem-solving skills

About the Company

We are a well-established and growing software product company with decades of experience delivering innovative and scalable technology solutions. The organization continues to expand year on year through strong market presence, continuous investment in technology, and a culture that promotes learning and collaboration. Exciting growth opportunities lie ahead for motivated professionals.

Job Description

We are looking for a Full Stack Developer to join our engineering team. The ideal candidate will be comfortable working across both front-end and back-end technologies, with a preference for either side being acceptable, as long as you are open to contributing across the full stack.

Technology Stack

Front-end:

• JavaScript
• Angular (or good understanding of React, Vue.js, Knockout.js, or similar frameworks)

Back-end:

• C#
• ASP.NET
• Web API
• MVC
• Entity Framework

Database:

• SQL Server (knowledge of NoSQL databases is a plus)

Cloud:

• Microsoft Azure and/or AWS

Key Responsibilities

• Design and develop the overall architecture of the web application
• Implement robust services and APIs to support the application
• Build reusable code and libraries for future use
• Optimize applications for maximum speed and scalability
• Implement security and data protection measures
• Translate UI/UX wireframes into visual and functional elements
• Integrate front-end and back-end components seamlessly

Additional Responsibilities (For Senior / Lead-Level Candidates)

• Participate actively in the full SDLC (design, development, testing, deployment)
• Provide technical analysis and resolve complex issues during delivery
• Conduct code and test case reviews
• Collaborate with product and design teams on innovative solutions
• Convert functional requirements into technical tasks and effort estimates
• Mentor junior developers

Skills & Qualifications

• Bachelor’s degree in Software Engineering or related field
• 3–5 years of relevant experience in Full Stack development
• Strong experience in C#, ASP.NET MVC, Web API, and SQL Server
• Good knowledge of JavaScript and modern front-end frameworks
• Understanding of cloud-native architecture and SaaS applications
• Experience with CI/CD, Docker, and DevOps practices is a plus
• Experience working in cross-functional teams
• Ability to build scalable and robust enterprise-grade solutions

Role Summary

We are looking for a seasoned Python/Django expert with 10–12 years of real-world development experience and a strong background in leading engineering teams. The selected candidate will be responsible for managing complex technical initiatives, mentoring team members, ensuring best coding practices, and partnering closely with cross-functional teams. This position demands deep technical proficiency, strong leadership capability, and exceptional communication skills.

Primary Responsibilities

· Lead, guide, and mentor a team of Python/Django engineers, offering hands-on technical support and direction.

· Architect, design, and deliver secure, scalable, and high-performing web applications.

· Manage the complete software development lifecycle including requirements gathering, system design, development, testing, deployment, and post-launch maintenance.

· Ensure compliance with coding standards, architectural patterns, and established development best practices.

· Collaborate with product teams, QA, UI/UX, and other stakeholders to ensure timely and high-quality product releases.

· Perform detailed code reviews, optimize system performance, and resolve production-level issues.

· Drive engineering improvements such as automation, CI/CD implementation, and modernization of outdated systems.

· Create and maintain technical documentation while providing regular updates to leadership and stakeholders.

Required Skills & Qualifications Negotiable

· 10–14 years of professional experience in software development with strong expertise in Python and Django.

· Solid understanding of key web technologies, including REST APIs, HTML, CSS, and JavaScript.

· Hands-on experience working with relational and NoSQL databases (such as PostgreSQL, MySQL, or MongoDB).

· Familiarity with major cloud platforms (AWS, Azure, or GCP) and container tools like Docker and Kubernetes is a plus.

· Proficient in Git workflows, CI/CD pipelines, and automated testing tools.

· Strong analytical and problem-solving skills, especially in designing scalable and high-availability systems.

· Excellent communication skills—both written and verbal.

· Demonstrated leadership experience in mentoring teams and managing technical deliverables.

· Must be available to work on-site in the Hyderabad office; remote work is not allowed.

Preferred Qualifications

· Experience with microservices, asynchronous frameworks (such as FastAPI or Celery), or event-driven architectures.

· Familiarity with Agile/Scrum methodologies.

· Previous background as a technical lead or engineering manager.

Review Criteria:

• Strong Software Engineer fullstack profile using NodeJS / Python and React
• 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)
• Must have strong experience in working on Typescript
• Must have experience in message-based systems like Kafka, RabbitMq, Redis
• Databases - PostgreSQL & NoSQL databases like MongoDB
• Product Companies Only
• Tier 1 Engineering Institutes preferred (IIT, NIT, BITS, IIIT, DTU or equivalent)

Preferred:

• Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Experience in mentoring, coaching the team.

Role & Responsibilities:

We are currently seeking a Senior Engineer to join our Financial Services team, contributing to the design and development of scalable system.

The Ideal Candidate Will Be Able To-

• Take ownership of delivering performant, scalable and high-quality cloud-based software, both frontend and backend side.
• Mentor team members to develop in line with product requirements.
• Collaborate with Senior Architect for design and technology choices for product development roadmap.
• Do code reviews.

Ideal Candidate:

• Thorough knowledge of developing cloud-based software including backend APIs and react based frontend.
• Thorough knowledge of scalable design patterns and message-based systems such as Kafka, RabbitMq, Redis, MongoDB, ORM, SQL etc.
• Experience with AWS services such as S3, IAM, Lambda etc.
• Expert level coding skills in Python FastAPI/Django, NodeJs, TypeScript, ReactJs.
• Eye for user responsive designs on the frontend.

Want to build core backend-powered experiences such as Checkout and Credit for the 5th largest E-com portal in the country? Then read on..

About The company

Founded by serial Entrepreneurs from IIT Bombay, Snapmint is challenging the way banking is done by building the banking experience ground up. Our first product provides purchase financing at 0% interest rates to 300 Million consumers in India who do not have credit cards using instant credit scoring and advanced underwriting systems. We look at hundreds of variables, much beyond traditional credit models. With real time credit approval, seamless digital loan servicing and repayments technology we are revolutionizing the way banking is done for todays smartphone-wielding Indian.

Website: https://snapmint.com

LinkedIn: https://www.linkedin.com/company/snapmintfinserv/

Title: Senior Engineering Manager, Backend

Experience: 8-12 Years

Work Location: Gurgaon (Unitech Cyber Park, Sector 39)

Working Arrangement: 5 days (WFO)

Job Overview:

As Engineering Manager Backend, you will lead a team of backend engineers, driving the development of scalable, reliable, and performant systems. You will work closely with product management, front-end engineers, and other cross-functional teams to deliver high-quality solutions while ensuring alignment with the companys technical and business goals. You will play a key role in coaching and mentoring engineers, promoting best practices, and helping to grow the backend engineering capabilities.

Key Responsibilities:

• Design and build highly scalable, low-latency, fault-tolerant backend services handling high-volume financial transactions.
• Work hands-on with the team on core backend development, architecture, and production issues.
• Lead, mentor, and manage a team of backend engineers, ensuring high-quality delivery and fostering a collaborative work environment.
• Collaborate with product managers, engineers, and other stakeholders to define technical solutions and design scalable backend architectures.
• Own the development and maintenance of backend systems, APIs, and services.
• Drive technical initiatives, including infrastructure improvements, performance optimizations, and platform scalability.
• Guide the team in implementing industry best practices for code quality, security, and performance.
• Participate in code reviews, providing constructive feedback and maintaining high coding standards.
• Promote agile methodologies and ensure the team adheres to sprint timelines and goals.
• Develop and track key performance indicators (KPIs) to measure team productivity and system reliability.
• Foster a culture of continuous learning, experimentation, and improvement within the backend engineering team.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 8+ years of experience in backend development with a proven track record of leading engineering teams.
• Strong experience with backend language ie. Node.js/Golang
• Experience working with databases (SQL, NoSQL), caching systems, and RESTful APIs.
• Familiarity with cloud platforms like AWS, GCP, or Azure and containerization technologies (e.g., Docker, Kubernetes).
• Solid understanding of software development principles, version control, and CI/CD practices.
• Excellent problem-solving skills and the ability to architect complex systems.
• Strong leadership, communication, and interpersonal skills.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)

Experience : 5 to 10 Years

Location : Bengaluru, India

Employment Type : Full-Time | Onsite

Role Overview :

We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.

In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.

Mandatory Skills :

Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).

Key Responsibilities :

• Architect, design, and develop scalable full-stack applications for data and AI-driven products.
• Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
• Deploy, integrate, and scale ML/AI models in production environments.
• Drive system design, architecture discussions, and API/interface standards.
• Ensure engineering best practices across code quality, testing, performance, and security.
• Mentor and guide junior developers through reviews and technical decision-making.
• Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
• Monitor, diagnose, and optimize performance issues across the application stack.
• Maintain comprehensive technical documentation for scalability and knowledge-sharing.

Required Skills & Experience :

• Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
• Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
• Full Stack Proficiency :
• Front-end : React / Angular / Vue.js
• Back-end : Node.js / Python / Java
• Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
• AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
• Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
• Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
• Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).

Soft Skills :

• Excellent communication and cross-functional collaboration skills.
• Strong analytical mindset with structured problem-solving ability.
• Self-driven with ownership mentality and adaptability in fast-paced environments.

Preferred Qualifications (Bonus) :

• Experience deploying distributed, large-scale ML or data-driven platforms.
• Understanding of data governance, privacy, and security compliance.
• Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
• Experience working in Agile environments (Scrum/Kanban).
• Active open-source contributions or a strong GitHub technical portfolio.

Technical Lead – Golang | AWS | Database DesignWork Model: Hybrid (Mandatory Work From Office for the first 1 month in Chennai, followed by remote work)

Location: Chennai, India

Experience: 8–12 Years

Budget: 1L ~ 1.2L MonthlyRole Summary

We are seeking an experienced Technical Lead with strong expertise in Golang, AWS, and Database Design to spearhead backend development initiatives, drive architectural decisions, and mentor engineering teams. The ideal candidate will combine hands-on technical skills with leadership capabilities to deliver scalable, secure, and high-performance solutions.

Key Responsibilities

Backend Development Leadership:

Lead the design and development of backend systems using Golang and microservices architecture.

Ensure scalability, reliability, and maintainability of backend services.Database

Design & Optimization:

Own database schema modeling, normalization, and performance tuning.

Work with MySQL, PostgreSQL, and NoSQL databases to design efficient data storage solutions.

Implement strategies for query optimization and high availability.

Cloud Infrastructure Management:

Architect and manage scalable solutions on AWS cloud services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, and S3.

Ensure cost optimization, security compliance, and disaster recovery planning.

Technical Governance & Mentorship:

Review code, enforce best practices, and maintain coding standards.

Mentor and guide developers, fostering a culture of continuous learning and innovation.

Collaboration & Delivery:

Partner with product managers, architects, and stakeholders to align technical solutions with business goals.

Drive end-to-end delivery of projects with a focus on quality and timelines.

Production Support & Optimization:

Troubleshoot and resolve production issues.

Continuously monitor system performance and implement improvements.

Required Skills & Qualifications

Technical Expertise:

Strong hands-on experience with Golang in production-grade applications.

Solid knowledge of Database Design (MySQL, PostgreSQL, NoSQL).

Proficiency in AWS services (EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3).

Strong understanding of microservices and distributed systems.

DevOps & Tools:

Experience with Docker, Kubernetes, and container orchestration.

Familiarity with CI/CD pipelines using tools like Jenkins, Maven, or GitHub Actions.

Soft Skills:

Excellent problem-solving and debugging skills.

Strong communication and collaboration abilities.

Ability to mentor and inspire engineering teams.

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Review Criteria:

• Strong Software Engineer fullstack profile using NodeJS / Python and React
• 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)
• Must have strong experience in working on Typescript
• Must have experience in message-based systems like Kafka, RabbitMq, Redis
• Databases - PostgreSQL & NoSQL databases like MongoDB
• Product Companies Only
• Tier 1 Engineering Institutes (IIT, NIT, BITS, IIIT, DTU or equivalent)

Preferred:

• Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Experience in mentoring, coaching the team.

Role & Responsibilities:

We are currently seeking a Senior Engineer to join our Financial Services team, contributing to the design and development of scalable system.

The Ideal Candidate Will Be Able To-

• Take ownership of delivering performant, scalable and high-quality cloud-based software, both frontend and backend side.
• Mentor team members to develop in line with product requirements.
• Collaborate with Senior Architect for design and technology choices for product development roadmap.
• Do code reviews.

Ideal Candidate:

• Thorough knowledge of developing cloud-based software including backend APIs and react based frontend.
• Thorough knowledge of scalable design patterns and message-based systems such as Kafka, RabbitMq, Redis, MongoDB, ORM, SQL etc.
• Experience with AWS services such as S3, IAM, Lambda etc.
• Expert level coding skills in Python FastAPI/Django, NodeJs, TypeScript, ReactJs.
• Eye for user responsive designs on the frontend.

Perks, Benefits and Work Culture:

• We prioritize people above all else. While we're recognized for our innovative technology solutions, it's our people who drive our success. That’s why we offer a comprehensive and competitive benefits package designed to support your well-being and growth:
• Medical Insurance with coverage up to INR 8,00,000 for the employee and their family

We are seeking a Developer Team Lead who will own the technical execution, architecture, and delivery of Super AI’s core platforms and customer implementations. This role requires a hands-on leader who can guide full-stack and AI engineers, ensure high-quality code, and translate business and government requirements into scalable, secure, and production-ready systems.

The ideal candidate is equally comfortable writing code, reviewing architectures, mentoring developers, and collaborating with product, pre-sales, and leadership teams.

Job Title: Software Developer (7-10 Years Experience)

Job Summary: We are seeking an experienced Software Developer with 7-10 years of hands-on development expertise in designing, building, and maintaining enterprise level applications and scalable APIs. Key

Responsibilities:

• Design, develop, and maintain microservices based applications using the Spring framework.

• Build secure, scalable REST and SOAP web services.

• Implement API security protocols including OAuth, JWT, SSL/TLS, X.509 certificates, and SAML, mTLS.

• Develop and deploy applications by leveraging AWS services such as EC2, Lambda, API Gateway, SQS, S3, SNS.

• Work with Azure cloud services and OpenShift for deployment and orchestration.

• Integrate JMS/messaging systems and work with middleware technologies such as MQ.

• Utilize SQL and NoSQL databases, including MySQL, PostgreSQL, and DynamoDB.

• Work with Netflix Conductor or Zuul for orchestration and routing.

• Collaborate with cross functional teams to deliver robust solutions in an Agile setup.

Required Skills:

• Strong JAVA OOPS fundamentals.

• Strong proficiency in Spring Framework (Spring Boot, Spring Cloud, Spring Security).

• Solid experience in microservices architecture.

• Handson experience with AWS cloud and OpenShift ecosystem.

• Familiarity with Azure services.

• Strong understanding of API security mechanisms.

• Expertise in building RESTful APIs.

• Experience working with SQL/NoSQL databases.

• Should have worked on integration with AppDynamics or similar APM tools

• Strong analytical and problem-solving skills.

Good to have skills:

• SOAP web services and graphQL

• Experience with JMS, messaging middleware, and MQ.

Qualifications:

• Bachelor’s or Master's degree in computer science or related field.

• 7-10 years of experience in backend development or full Stack development roles.