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Senior Software Developer (AI integration)

Role Overview

We are looking for a Senior Full-Stack Engineer to drive the development, integration, and scaling of our eCommerce applications. This is a hands-on coding role requiring deep expertise in full-stack ecosystems (Laravel + React), proven track record of integrating and deploying AI models/workflows. Strong eCommerce domain knowledge (Shopify and/or Magento 2) would be a plus.

As our product suite heavily prioritizes AI-driven features, you will be the core technical driver responsible for building smart workflows, setting up local LLMs, and bridging the gap between modern AI capabilities and robust web applications.

Work Location: Remote (Open to talent across India; office is based in Indore).

Required Technical Skills:

AI & LLM Integration (Mandatory)

• LLM Implementation: Hands-on experience setting up, fine-tuning, or self-hosting local LLMs (e.g., via Llama, Mistral, Ollama) and utilizing cloud AI APIs (OpenAI, Anthropic, etc.).
• AI Frameworks & Workflows: Experience building custom agentic workflows, prompt engineering pipelines, or using orchestration frameworks (LangChain, LlamaIndex, or JS/PHP equivalents)..
• Vector Databases: Familiarity with embeddings and vector search (e.g., Pinecone, Milvus, Chroma, or pgvector).

Core Full-Stack

• PHP (expert level)
• Laravel (architecture-level understanding: queues, jobs, service layer)
• React.js (SPA, state management, performance optimization)
• HTML, CSS, JavaScript (ES6+)
• GraphQL & REST API design
• Node.js (real-time systems like Socket.io)

Database & Systems

• MySQL/PostgreSQL (schema design, optimization)
• Caching: Redis
• Queue systems: RabbitMQ / similar

Architecture Knowledge

• Microservices & event-driven architecture
• API-first and headless systems
• Scalability & distributed systems

E-commerce Domain 

• Shopify: Deep understanding of Shopify APIs, App ecosystem, and headless commerce.
• Magento 2: Practical understanding of Magento's architecture, module system, and GraphQL (hands-on customization experience is highly valued).

Note: Preference will be given to candidates with experience in any of the two platforms, but we are open to consider candidates who do not have direct exposure to these platforms if they have exceptional track record with AI implementations.

Good to Have

• Experience with Python (often useful for AI/data manipulation scripts).
• Cloud Infrastructure (AWS / DigitalOcean, Cloudflare).
• Familiarity with CI/CD tools and containerization (Docker).

Roles & Responsibilities:

• Hands-on Development: Write clean, maintainable, and highly efficient code across the backend (Laravel) and frontend (React).
• AI Feature Engineering: Own the end-to-end implementation of AI capabilities—from setting up local LLM instances to writing the integration logic that connects AI flows to our eCommerce systems, with a strong focus on optimizing token streaming processing and reducing execution latency
• Feature Ownership: Take high-level product requirements and transform them into concrete technical solutions, ensuring scalable code architecture.
• System Performance: Optimize application speed and reliability, utilizing caching (Redis) and async processing to ensure seamless user experiences.
• Security & Infrastructure: Implement secure coding practices, manage API rate-limiting, and collaborate on Docker/CI/CD pipelines.
• Technical Mentorship: Review code, champion best practices, and help upskill mid-level developers on the team.
• Team Collaboration: Work closely with product, design, and engineering teams. Act as technical decision owner.

We’re Hiring: Senior Full Stack Software Developer

📍 Location: Bangalore (5 days/week, in-office)

About Dino Ventures

Dino Ventures is a Bharat-focused, app-first technology company with 5M+ app downloads across a portfolio of 10+ live applications. Our flagship products—including Samaj Saathi, Samjho, and Stick—serve millions of users across India, solving meaningful problems at scale.

We’re building products that impact everyday lives, and we’re looking for experienced engineers who thrive on ownership, performance, and shipping high-quality software.

What You’ll Do

• Architect, build, and scale high-performance, real-time applications across the entire stack.
• Design robust backend services, APIs, and distributed systems that power millions of users.
• Build fast, responsive, and polished user experiences with a strong focus on performance and usability.
• Optimize databases, caching layers, and application architecture for scalability, reliability, and cost efficiency.
• Lead technical design discussions, make architectural decisions, and mentor fellow engineers.
• Drive projects from concept to production with complete ownership.
• Collaborate closely with product and design teams to build impactful user experiences.
• Leverage modern AI-assisted development tools (Claude Code, Codex, Cursor, etc.) to maximize engineering productivity.

Our Tech Stack

Backend

• Node.js
• TypeScript
• PostgreSQL
• Redis
• Elasticsearch

Frontend

• SvelteKit
• TypeScript
• Tailwind CSS
• tRPC
• TanStack Query

(We’re pragmatic about technology—we choose the right tool for the job.)

What We’re Looking For

• 3+ years of experience building and shipping production-grade software.
• Strong expertise in TypeScript/JavaScript across frontend and backend development.
• Deep understanding of software engineering fundamentals, system design, and scalable architecture.
• Strong knowledge of relational databases, indexing strategies, query optimization, and database internals.
• Experience building scalable REST APIs and real-time systems.
• Familiarity with caching, asynchronous processing, networking, and distributed systems.
• Experience using modern AI coding tools to accelerate development workflows.
• Strong attention to engineering quality, including latency, reliability, race conditions, bundle size, and user experience.
• Ability to balance speed with maintainability, making thoughtful engineering trade-offs.
• Self-driven with a strong sense of ownership and a product mindset.

Intent > Experience > Skills

Why Join Dino Ventures?

• Build products that solve real problems for millions of Bharat users.
• Work across multiple products with opportunities to build new systems from scratch.
• High ownership, minimal bureaucracy, and fast decision-making.
• Collaborate with an ambitious, product-first engineering team.
• See your work reach production from Day 1.
• Shape the technical direction of products used at massive scale.

If you enjoy solving challenging engineering problems, care deeply about software craftsmanship, and want your work to make a real-world impact, we’d love to hear from you.

Work Mode: Full-time, in-person

Reporting To: VP – Software

Job Description

We are looking for a hands-on Technical Lead Engineer to lead the design, development, and delivery of our Head-End System (HES), Meter Data Management (MDM), and Smart Metering platform. The role requires strong backend engineering expertise, deep understanding of smart metering and utility systems, and the ability to guide a development team through architecture, implementation, integration, testing, deployment, and production support.

The ideal candidate will have practical experience building scalable IoT or utility platforms involving smart meter communication, DLMS/COSEM protocols, real-time data acquisition, validation, event processing, command execution, and integration with enterprise systems such as billing, NMS, OMS, and analytics platforms.

Key Responsibilities

• Lead end-to-end technical development of HES, MDM, AMI/AMR, and smart metering modules.
• Design scalable backend architecture for meter communication, data ingestion, validation, processing, storage, and reporting.
• Implement and guide development of DLMS/COSEM IEC 62056 based meter communication.
• Integrate with smart meters, DCUs/gateways, billing systems, NMS, OMS, analytics systems, and third-party utility platforms.
• Lead Java/Spring Boot backend development using REST APIs, messaging queues, socket programming, and distributed system patterns.
• Design high-volume data pipelines for interval data, events, alarms, billing reads, and meter health data.
• Ensure performance, scalability, fault tolerance, database optimization, and reliable production operations.
• Mentor developers, review code, define engineering standards, and guide sprint-level technical execution.
• Work with product, project, QA, deployment, and customer teams to convert utility requirements into robust technical solutions.
• Own technical troubleshooting for production issues, performance bottlenecks, device communication failures, and integration defects.
• Prepare technical documentation, architecture diagrams, API specifications, and deployment guidelines.

Required Skills

• 6+ years of software development experience, including 3+ years in smart metering, HES, MDM, AMI, IoT, or utility platforms.
• Strong hands-on experience with Java, Spring Boot, REST APIs, JDBC/JPA, multithreading, backend system design, debugging, performance tuning, and production support.
• Practical experience with DLMS/COSEM, IEC 62056, Gurux or similar frameworks, smart meter communication, meter reads, events, commands, and remote operations.
• Strong understanding of communication protocols such as TCP/IP, socket programming, FTP/SFTP, MQTT/HTTP, and related integration patterns.
• Experience with Kafka/RabbitMQ, MySQL/MariaDB, MongoDB, Redis, ClickHouse, Apache Solr, or similar messaging and data platforms.
• Knowledge of scalable architecture, including clustering, replication, load balancing, caching, retries, failover, monitoring, and large-scale time-series data handling.
• Experience leading backend engineering teams, owning technical delivery, reviewing code, and mentoring developers.
• Preferred: experience with utility/DISCOM projects, AMISP programs, billing engines, prepaid metering, NMS/OMS, energy accounting, cloud services, CI/CD, Docker/Kubernetes, observability, and cybersecurity for smart metering systems.

Education Requirement

Bachelor’s degree in Computer Science, IT, Electronics & Communication, Electrical Engineering, or a related engineering discipline is preferred. Candidates with strong hands-on HES/MDM, AMI, DLMS/COSEM, IoT, or utility software experience may be considered even with a different academic background.

Tech Lead

Full Stack, Architecture & Client Delivery

📍 Mumbai (On-site) | Full-time | 5-6 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Tech Lead who will own the technical direction of full stack engagements, lead a small pod of engineers, and represent Unico Connect directly in front of customers.

The mandatory requirement for this role is hands-on production experience as a senior or lead engineer building full stack web applications with React on the frontend and either Node.js or Python on the backend.

The role is hands-on.

Expect to spend meaningful time on architecture, complex implementation, and code reviews, while also driving delivery, mentoring a pod of 3 to 6 engineers, running client conversations, and contributing to solutioning on new opportunities.

A typical week includes a design review on a new module, a working session with a client product owner, paired implementation on a complex flow, and pre-sales input on an active opportunity.

Responsibilities:

Solutioning and Architecture

Own end-to-end architecture for client engagements: system design, API contracts, data models, integrations, deployment topology, and trade-off analysis.

Document and defend decisions in writing and in client reviews.

Hands-on Full Stack Delivery

Lead by example on complex modules, performance-critical paths, and high-risk areas of the system using React (with Next.js where relevant) and Node.js (Express, NestJS) or Python (FastAPI, Django, Flask).

Database Design and Performance

Drive PostgreSQL schema design, indexing strategy, query optimisation, migrations, and capacity planning.

Set the standard for data modelling across the pod.

Cloud and Infrastructure

Set up and operate production workloads on AWS, GCP, or Azure.

Make and own decisions on compute, storage, networking, CI/CD pipelines, observability, and cost.

Code Quality and Engineering Standards

Run code reviews, define engineering conventions, and raise the quality bar across the team.

Set the standard for testing, linting, branching, release management, and incident response.

Team Leadership and Mentorship

Lead, mentor, and grow a pod of 3 to 6 engineers.

Plan sprints, unblock the team, run retros, and own delivery commitments.

Client Engagement

Act as the primary technical point of contact for the client.

Run technical discussions, present trade-offs, manage scope and risks, and keep stakeholders informed in writing.

Pre-Sales and Solutioning

Partner with sales and account leadership on new opportunities, including discovery calls, effort estimation, architecture diagrams, and solution write-ups.

AI-Assisted Development

Use Claude, Cursor, and similar tools day to day.

Set the standard for the team on prompts, patterns, AI-assisted code review, and where these tools are and are not appropriate.

AI Feature Delivery

Where an engagement calls for it, design and ship LLM-based features into production, including prompt design, retrieval pipelines, evaluation, observability, and guardrails.

Requirements:

Hands-on Full Stack Production Experience as a Senior or Lead Engineer (Mandatory)

Must have personally built and shipped production web applications using React on the frontend and either Node.js or Python on the backend.

POCs, internal tools, and coursework do not qualify.

5 to 6 Years of Professional Software Engineering Experience

Including at least 1 to 2 years in a tech lead, team lead, or senior engineering role with direct responsibility for technical decisions and team output.

Hands-on Cloud Experience on at Least One of AWS, GCP, or Azure

Including deploying and operating production workloads.

Comfort with at least three of: EC2 or equivalent compute, S3 or equivalent object storage, Lambda or serverless functions, RDS or managed databases, CloudFront or equivalent CDN, IAM, VPC.

Strong Proficiency in JavaScript and TypeScript

With React and Next.js (SSR, SSG, app router) on the frontend, and either Node.js (Express, NestJS) or Python (FastAPI, Django, Flask) on the backend.

API design experience across REST and GraphQL.

Willingness and demonstrated ability to pick up the other backend stack as engagements demand.

Production Experience with Docker, Git-Based Workflows, and CI/CD Pipelines

(GitHub Actions, GitLab CI, CircleCI, or equivalent).

Strong PostgreSQL Skills

Schema design, normalisation, indexing, query performance, migrations, and at least one production system where you owned the data model end-to-end.

Caching and Event-Driven Architecture

Hands-on with Redis (or equivalent) for caching and session management, and message queues or event-driven patterns (RabbitMQ, SQS, Kafka, or NATS) for asynchronous workflows.

AI and LLM Feature Delivery in Production

Experience designing and shipping at least one AI feature to production, covering prompt design, retrieval-augmented generation (RAG), embeddings, evaluation, observability, and guardrails.

POCs and demos do not qualify.

System Design Depth and End-to-End Ownership

Able to take an ambiguous problem, break it into components, evaluate alternatives, produce an architecture that holds up under review and load, plan execution, and ship to production with limited supervision.

Excellent Written and Spoken English

Experience working directly with international clients.

Confident, clear, and firm in stakeholder communication.

Comfortable presenting to senior stakeholders, pushing back where needed, and managing expectations across time zones.

Experience: 5+ years building and operating production-grade Python services. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag8eyxvIdQ5YQCku/form

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Every insight Terrabase delivers travels through a Python service you will own. Our platform powers real-time agent workflows, multi-connector data pipelines, sandboxed execution, and versioned artifact delivery, all streaming live to enterprise customers. Reliable async workers, low-latency APIs, and precise observability are not nice-to-haves here. They decide whether customers trust the system.

Your mission: keep this engine reliable and scale it as we grow.

What You Will Do

Own the FastAPI platform. Design, extend, and operate the core services powering agent orchestration, connector management, schema resolution, streaming chat, and sandboxed execution. Async handlers, SSE and WebSocket support, Pydantic v2 validation, SQLAlchemy with Alembic migrations against PostgreSQL.

Build and scale async workers. Operate Celery workers backed by Redis and RabbitMQ for schema fetching, task routing, stuck-task detection, and real-time notifications. Understand failure modes at the worker level, not just the API level.

Own the context layer pipeline. Build and operate the ingestion pipeline that processes enterprise documents, extracts and ranks business concepts, and builds the structured knowledge layer that agents reason over. This covers connector integrations, chunking strategies, and the data contracts between upstream sources and the agent layer.

Manage data connections at scale. Build and harden runtime connectors to Snowflake, DuckDB, Databricks, BigQuery, and other warehouse and SaaS sources. Handle encrypted credentials, OAuth flows, and live schema discovery. Make connections stay alive, fail cleanly, and recover fast.

Instrument everything. Own the observability stack: Prometheus and Grafana, structured logging with correlation IDs, OpenTelemetry tracing, health endpoints. P99 latency and error budgets are yours to define and defend.

Ship and operate on AWS. Docker-based deployments, Nginx, Terraform, GitHub Actions CI/CD. Write runbooks and post-mortems anyone can use to debug at 2am. Harden secrets management and SOC 2 logging.

Collaborate across teams. The platform serves LangGraph-based agent workflows and React frontends. Design API contracts that enable sub-second streaming responses and zero-downtime releases.

What We Are Looking For

• 5+ years building and operating production Python services
• Strong bias for ownership: you identify problems, propose fixes, and drive them to closure without supervision
• Deep FastAPI expertise: async handlers, dependency injection, middleware, SSE streaming, WebSocket
• Solid Celery and Redis knowledge: retry logic, task routing, idempotency, worker failure recovery
• Hands-on with Docker, Linux, and AWS deployment
• Experience with Terraform or equivalent infrastructure-as-code tooling
• Production observability mindset: Prometheus, Grafana, structured logging, distributed tracing, alerting
• Proficient with type hints, pytest, and modern Python packaging
• PostgreSQL, SQLAlchemy, and Alembic in production
• Clear communicator: your design docs and PRs show first-principles thinking

Bonus Points

• Experience with Snowflake, DuckDB, or Databricks connector patterns
• Prior work integrating LangGraph or LangChain workflows into a production API layer
• Exposure to document processing pipelines, chunking, retrieval, or knowledge graph construction
• Contributions to open-source backend or infrastructure tooling
• Experience operating under SOC 2 or equivalent compliance requirements

Life at Terrabase

Sharp, fully remote team shipping to enterprise customers weekly. Real ownership, generous cloud budgets, and a culture that prizes reliability over ceremony.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

About the Role

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Backend Engineer for a dedicated client engagement building an AI-powered application builder platform.

The backend is the operational core of the product: it manages user projects and sessions, coordinates long-running AI agent workloads, maintains project state, and serves as the integration layer between the frontend, the AI system, and the underlying infrastructure.

The mandatory requirement is hands-on production experience shipping Node.js services, with end-to-end ownership of API design, data modelling, and at least one production system involving background job processing or event-driven patterns.

Responsibilities

API and service development: Design and build REST APIs in Node.js with TypeScript. Cover authentication, session management, input validation, structured error handling, streaming responses (SSE, WebSockets), and rate limiting. Maintain clean API contracts that the frontend and AI system can rely on.

Database design and management: Own PostgreSQL schema design for product domains including user accounts, projects, file trees, session state, and generated artefacts. Write efficient queries, manage migrations, and optimise for read patterns that serve a real-time editor experience.

Caching strategy: Implement and maintain caching with Redis for session data, project state, and frequently read configuration. Design cache invalidation logic that keeps the editor experience consistent without stale reads.

Queue and background job management: Implement and operate background job infrastructure using BullMQ or equivalent. AI agent runs are long-running and stateful; handle retries, failure states, priority queues, and concurrency limits.

AI system integration: Build the integration layer between the backend and the AI agent system. Manage job dispatch, result handling, streaming output to the frontend, and error propagation.

Multi-tenancy and access control: Implement tenant data isolation, RBAC, and resource ownership enforcement across all API surfaces.

Observability and reliability: Instrument services with structured logging, metrics, and tracing. Write defensive code with sensible timeouts, fallback behaviour, and circuit breaking on external dependencies.

Testing and code quality: Write unit and integration tests for the services you ship. Review the work of peers and contribute to shared engineering conventions.

Requirements

• Hands-on production Node.js experience (mandatory) — must have personally shipped at least one feature area end to end in a production Node.js service, owning API design, data modelling, and testing.

• 3 to 5 years of professional backend engineering experience. Candidates with slightly less time but strong demonstrated ownership are welcome to apply.

• Strong Node.js and TypeScript. Production experience with Express, NestJS, or Fastify. Solid with async patterns, streaming, error handling, and building services that run reliably under sustained load.

• PostgreSQL depth. Schema design, query writing, indexing, and migrations on at least one production system.

• Redis and caching. Production experience using Redis for caching and session management. Understands cache invalidation trade-offs.

• Queue and background job systems. Hands-on with BullMQ, RabbitMQ, SQS, or equivalent. Experience managing retries, dead-letter queues, job priority, and concurrency control.

• AWS working knowledge. Comfortable with EC2, S3, RDS, SQS, and IAM. Familiar with Docker and basic deployment and environment management.

• Strong written and spoken English. Able to communicate clearly with engineers across disciplines and write precise technical documentation.

Nice to Have

Experience integrating with AI or LLM services (streaming responses, structured outputs, retry patterns); WebSocket or SSE implementation for real-time features; multi-tenant SaaS product experience; GraphQL; OpenTelemetry instrumentation; prior work on developer tools or editor-style products.

Job Description

Team Lead – Full Stack Developer

Experience

3–5 Years

Location

Bangalore (Onsite)

Role Summary

We are looking for a highly skilled, hands-on, and ownership-driven Team Lead – Full Stack Developer who can independently architect, design, develop, deploy, and support enterprise-grade web, mobile, and cloud-native applications.

The ideal candidate should have strong expertise in ReactJS, Next.js, Java, Spring Boot, Microservices, Distributed Systems, Cloud Technologies, DevOps, AI-Assisted Development, and Product Engineering.

The candidate will be responsible for owning end-to-end product development, including frontend architecture, backend services, APIs, databases, deployment, production support, stakeholder communication, sprint planning, team leadership, and successful delivery of scalable, secure, and high-performance solutions.

Key Responsibilities

Architecture & Product Ownership

• Design end-to-end application architecture, HLDs, LLDs, deployment architecture, integration architecture, and security architecture.
• Build products from scratch and independently drive projects from concept to production.
• Convert business requirements into technical solutions, user stories, sprint plans, and delivery roadmaps.
• Design scalable, secure, fault-tolerant, multi-tenant, and enterprise-grade applications.
• Evaluate and recommend suitable technologies, frameworks, and development approaches.

Full Stack Development

Frontend Development

• Design and develop responsive and modern web applications.
• Build reusable UI components and scalable frontend architectures.
• Develop Single Page Applications (SPA) using ReactJS and Next.js.
• Implement state management using Redux Toolkit and Context API.
• Integrate REST APIs, GraphQL APIs, and WebSocket-based applications.
• Ensure application accessibility, responsiveness, performance optimization, and SEO best practices.
• Collaborate closely with UI/UX designers to deliver intuitive user experiences.

Backend Development

• Develop enterprise-grade backend applications using Java and Spring Boot.
• Design and develop REST APIs, Microservices, SOAP Services, gRPC Services, and Webhooks.
• Build reusable frameworks, service layers, and integration modules.
• Implement authentication, authorization, API security, and enterprise integrations.
• Optimize application performance, scalability, reliability, and maintainability.

Distributed Systems & Enterprise Solutions

• Design distributed systems using Event-Driven Architecture, CQRS, Saga Pattern, DDD, Hexagonal Architecture, and Clean Architecture.
• Implement resilience patterns, service discovery, circuit breakers, distributed transactions, and failover mechanisms.
• Build workflow automation platforms, document management systems, enterprise integration solutions, and business process automation systems.

Team Leadership & Delivery

• Lead and mentor development teams.
• Conduct code reviews, architecture reviews, and technical discussions.
• Drive sprint planning, stand-ups, reviews, and retrospectives.
• Collaborate with Product, Business, QA, DevOps, AI, and Management teams.
• Ensure successful project delivery while maintaining engineering standards and best practices.
• Support hiring, onboarding, mentoring, and technical growth of team members.

DevOps, Deployment & Production Support

• Manage CI/CD pipelines and deployment processes.
• Work with Docker, Kubernetes, and cloud-native environments.
• Implement Blue-Green, Canary, Rolling, and Zero-Downtime deployment strategies.
• Monitor application health and troubleshoot production issues.
• Ensure application reliability, security, scalability, and operational excellence.

AI & Innovation

• Leverage AI tools to improve development productivity and software quality.
• Build AI-powered Proof of Concepts (POCs) and enterprise applications.
• Utilize AI for development, testing, documentation, architecture reviews, and automation.
• Collaborate with AI teams to integrate intelligent capabilities into business applications.

Mandatory Technical Skills

Frontend Technologies

• ReactJS
• Next.js
• JavaScript (ES6+)
• TypeScript
• HTML5
• CSS3
• Tailwind CSS
• Material UI
• Bootstrap
• Redux Toolkit
• Context API
• React Query
• Responsive Design
• Progressive Web Applications (PWA)

Backend Technologies

• Java 8/11/17/21
• Core Java
• Spring Boot
• Spring MVC
• Spring Security
• Spring Data JPA
• Spring Cloud
• Spring Batch
• Spring WebFlux
• Spring Integration
• Spring AOP
• Spring Validation

APIs & Enterprise Integrations

• REST APIs
• SOAP Services
• GraphQL
• gRPC
• Webhooks
• OpenAPI / Swagger
• OAuth2
• JWT
• OpenID Connect
• SAML

Microservices & Distributed Systems

• Microservices
• Event-Driven Architecture
• CQRS
• Saga Pattern
• Domain-Driven Design (DDD)
• Event Sourcing
• Hexagonal Architecture
• Clean Architecture
• Service Discovery
• Circuit Breakers

Messaging & Streaming

• Apache Kafka
• RabbitMQ
• Event Streaming
• Message Brokers
• Asynchronous Processing

Databases

• PostgreSQL
• Oracle Database
• Oracle FLEXCUBE
• MySQL
• SQL Server
• MongoDB
• Redis
• Database Design
• Query Optimization
• Indexing
• Migration
• Replication

DevOps & Cloud

• Docker
• Kubernetes
• Jenkins
• GitHub Actions
• GitLab CI/CD
• AWS
• Azure
• GCP

Monitoring & Quality

• Grafana
• Prometheus
• ELK Stack
• OpenTelemetry
• JUnit
• Mockito
• SonarQube
• Unit Testing
• Integration Testing
• API Testing
• Performance Testing
• Security Testing

AI-Assisted Development Tools

• ChatGPT
• Claude
• Cursor
• GitHub Copilot
• Replit
• Lovable
• IntelliJ IDEA
• Prompt Engineering
• AI-Based Code Review
• AI-Based Testing & Documentation

Preferred Domain Experience

• Banking & Financial Services
• FinTech
• Enterprise SaaS
• Workflow Automation
• Digital Transformation
• AI-Powered Applications
• OCR & Document Processing
• Payment Systems
• Enterprise Integration Platforms
• Identity & Access Management
• Multi-Tenant Platforms

Soft Skills

• Strong leadership and ownership mindset.
• Excellent communication and stakeholder management skills.
• Strong analytical and problem-solving abilities.
• Ability to manage multiple projects simultaneously.
• Strong mentoring and team collaboration skills.
• Innovation-driven and continuous learning attitude.

Education

Bachelor's Degree or Master's Degree in:

• Computer Science
• Information Technology
• Software Engineering
• Electronics & Communication
• Or equivalent practical experience

Preferred Candidate Profile

A highly motivated Full Stack Engineering Leader with experience building products from scratch, owning frontend and backend architecture, leading engineering teams, driving innovation, and delivering scalable enterprise-grade applications across web, mobile, cloud, and enterprise platforms. The candidate should be capable of independently managing architecture, development, deployment, production support, and successful project delivery while mentoring and growing engineering teams.

mandatory one w

Role

We are looking for a Full Stack Engineer who can own the entire technical stack, design systems that scale, and ship products fast. You will work across frontend, backend, and AI systems, making key architectural decisions while building a product used by real users.

This role offers high ownership, where engineers move ideas to production quickly and take responsibility for both technical decisions and product impact.

What would you do?

• Build and own the end-to-end platform using React, Node.js microservices, Python AI agents, and AWS.
• Design and implement scalable system architecture, including caching, databases, and state management between AI and UI.
• Develop AI-powered backend services and orchestrate LLM workflows using modern frameworks.
• Build highly interactive front-end experiences using modern React and real-time communication tools.
• Define and maintain engineering best practices, including CI/CD pipelines, monorepo structures, and development workflows.
• Collaborate closely with users and product teams to identify problems and ship impactful solutions.
• Continuously simplify systems by removing unnecessary complexity and keeping architecture clean.

Who should apply?

• Engineers with 4+ years of experience building and shipping production-grade products.
• Strong understanding of system design, architecture, and scalable backend systems.
• Hands-on experience with Python (FastAPI, async systems) and LLM-based applications.
• Proficiency in JavaScript / TypeScript with Node.js and modern backend frameworks.
• Experience building modern frontend applications using React (React 18+).
• Familiarity with databases such as Redis, PostgreSQL, or MongoDB, and designing scalable APIs.
• Engineers comfortable working in fast-paced environments with high ownership and minimal process overhead.

Technical Skills

• Backend: Node.js, Express, Python, FastAPI
• Frontend: React (React 18+), interactive UI development
• AI/LLM Systems: LLM orchestration, multi-model integrations
• Databases: Redis, PostgreSQL, MongoDB
• Infrastructure: AWS, CI/CD pipelines, microservices architecture
• Real-time Systems: Socket.IO, Server-Sent Events (SSE)

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

• Strong Software Engineer fullstack profile using NodeJS, Python, and React
• Mandatory (Experience) - Must have 6+ YOE in Software Development using Python and NodeJS (For backend) & React (For frontend)
• Mandatory (Core Skills 1): Must have strong experience in working on Typescript
• Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis
• Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB
• Mandatory (Company) - Product Companies Only
• Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes. Candidates from other institutions will not be considered unless they come from top-tier product companies
• Mandatory (Note) : This role is a hybrid role (2 days WFO)
• Preferred (Experience): Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Preferred (Mentoring): Experience in mentoring, coaching the team.

Job Title : Senior Software Engineer (Full Stack Capability)

Experience : 4+ Years

Location : West Patel Nagar, New Delhi

Employment Type : Full-Time

About the Role :

We are looking for a highly skilled Senior Software Engineer with 4+ years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong backend expertise in Java, Python and Node.js while also being capable of handling frontend development when required.

This role requires excellent problem-solving abilities, ownership mindset, and strong communication skills to collaborate effectively with cross-functional teams and stakeholders.

Key Responsibilities :

• Design, develop, and maintain robust backend applications using Java and Node.js.
• Build and consume RESTful APIs and microservices.
• Develop scalable, secure, and high-performance applications.
• Work with frontend technologies to build and enhance user-facing features.
• Collaborate with product managers, designers, and other developers to deliver business requirements.
• Optimize application performance, troubleshoot issues, and implement best practices.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews and contribute to technical discussions.
• Manage database design, optimization, and integrations.
• Ensure application security, scalability, and reliability.

Required Skills & Qualifications :

• 4+ years of professional software development experience.
• Strong hands-on experience with Java, Spring Boot, and related backend frameworks.
• Strong experience with Node.js, Express.js, and API development.
• Good understanding of Microservices Architecture.
• Experience with MySQL, PostgreSQL, or MongoDB.
• Knowledge of Redis, caching mechanisms, and message queues is a plus.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with version control systems like Git.
• Understanding of CI/CD pipelines and deployment processes.

Frontend Requirements :

• Ability to work on frontend development when required.
• Experience with React.js, JavaScript, TypeScript, HTML5, and CSS3.
• Understanding of responsive design and modern UI development practices.

Soft Skills :

• Excellent verbal and written communication skills.
• Strong stakeholder management and client interaction abilities.
• Ability to work independently and take ownership of projects.
• Strong analytical and problem-solving skills.
• Team player with a collaborative mindset.

Preferred Qualifications :

• Experience working in product-based or fast-paced startup environments.
• Knowledge of Docker, Kubernetes, and DevOps practices.
• Experience with Agile/Scrum methodologies.

Job Title: Technical Lead – Python/Django

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Key Responsibilities

·      Architecture & Design: Design, develop, and maintain robust, scalable, and secure backend microservices and RESTful APIs using Python and Django.

·      Technical Leadership: Lead code reviews, enforce engineering best practices (TDD, clean code, documentation), and optimize database queries and system performance.

·      Team Mentorship: Guide, mentor, and unblock a team of mid-to-senior software development engineers (SDEs), fostering a high-performance execution culture.

·      System Optimization: Optimize application performance, enhance caching mechanisms, manage task queues, and ensure system uptime and smooth deployment pipelines.

·      Cross-functional Collaboration: Work closely with Frontend, Product Management, DevOps, and AI/ML teams to align backend capabilities with the product roadmap.

Required Skills & Qualifications

·      Experience: 6+ years of core software engineering experience, with at least 2+ years in a technical leadership or mentoring role.

·      Core Expertise: Exceptional command over Python and deep, production-level expertise in the Django/Django framework.

·      Database Management: Strong proficiency with relational databases (PostgreSQL, MySQL) and optimization (indexing, complex query tuning).

·      Caching & Queues: Practical experience with caching layers (Redis, Memcached) and asynchronous task queues (Celery).

·      Architecture Patterns: Solid understanding of microservices architecture, system design principles, API security, and RESTful web services.

·      DevOps Awareness: Familiarity with Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP) is a major plus.

·      Education: B.Tech/M.Tech or MCA / MBA in a technical specialization from a reputed institute.

What We Offer

·      Opportunity to lead a core engineering vertical in a fast-growing AI startup.

·      A collaborative, high-energy work culture with zero bureaucratic friction.

·      Competitive compensation packages and performance-driven growth paths.

Learn more about us at: https://timbleglance.com

We are hiring: Software Developers

Bangalore (5 days in office)

About Dino Ventures

Dino Ventures is a Bharat-focused, app-first company (5M+ app downloads

). We have 10+ live apps with flagship products like Samaj Saathi, Samjho, and Stick serving millions of users across India.

What you’ll do

• Build real-time, scalable, high-performance systems end-to-end — from backend services to user-facing apps
• Optimise across the stack: databases and services for performance and cost at scale, frontends for bundle size, load time, and UX polish
• Work with Node.js, PostgreSQL, Redis, ElasticSearch on the backend and SvelteKit, TypeScript, Tailwind, tRPC, Tanstack Query on the frontend (and more)
• Take ownership from design → implementation → production

What we’re looking for

• You are proficient in TypeScript/JavaScript — a Software Developer first, not tied to a single framework
• You are well-versed in databases — you understand indexing, query tuning, and internals
• You know your way around AI coding tools like Claude Code, Codex, etc.
• You care about all the tiny details — latency, network efficiency, race conditions, bundle size, load time, UX polish
• You can be scrappy when speed matters and write clean, well-designed systems when it counts
• You are enthusiastic and self-driven — ready to make a difference (Intent >>> Skills)

Why join us

• Solve real problems for Bharat users
• Work on multiple applications and build from scratch
• High ownership, zero bureaucracy
• Be part of an ambitious, product-first team
• See your work in production from Day 1

At BigThinkCode, our technology solves complex problems. We are looking for talented back end (node.JS) engineer to join our at Chennai.

Please find below our job description, if interested drop your profile to connect and disucss.

Company: BigThinkCode Technologies

URL: https://www.bigthinkcode.com/

Experience required: 2-3 years

Work location: Chennai

Joining time: Immediate – 2 weeks

Work Mode: Work from office / Hybrid

A skilled Node.js Developer with 2–3 years of experience in building scalable applications using event-driven architecture within distributed systems. The ideal candidate should be comfortable in high-performance backend services and have a strong understanding of asynchronous programming patterns.

Experience or exposure to knowledge embedding and vectorization techniques is a strong plus, especially in the context of modern data-driven or AI-powered systems.

Must have skills:

• Hands on expertise in OOJS, node.js, distributed systems.
• Hands on experience using RabbitMQ, Kafka / Redis and PostgreSQL.
• Event drive architecture (EDA) microservices project experience MUST
• Any programming: Typescript or nodeJS or Golang.
• Hands on experience using docket containers and Kubernetes.
• Aware about Asynchronous and Loose Coupling.
• Familiar with API’s gateway and microservice design patterns.
• Strong understanding of event-driven architecture and non-blocking I/O.
• Experience working with distributed systems and microservices architecture.
• Proficiency in RESTful API design and implementation.
• Experience with databases such as MongoDB, PostgreSQL, or MySQL.
• Experience with containerization tools like Docker and orchestration tools like Kubernetes

Key Responsibilities

• Design, develop, and maintain server-side applications using Node.js
• Build and optimize scalable, event-driven systems in distributed environments.
• Implement asynchronous workflows, message queues, and pub/sub architectures.
• Collaborate with cross-functional teams to define and deliver backend solutions.

Good to Have:

• Experience with knowledge embedding and vectorization techniques.
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS).
• Understanding of cloud platforms (AWS, Azure, or GCP)

Why Join Us:

• Collaborative work environment.
• Exposure to modern tools and scalable application architectures.
• Medical cover for employee and eligible dependents.
• Tax beneficial salary structure.
• Comprehensive leave policy
• Competency development training programs.

Senior AI Engineer — Ruby on Rails

Techjays · Coimbatore / Chennai · Hybrid · Immediate – 30 Days Notice

About Techjays

We're the AI Reimagination Company — and that's not a tagline we put on a deck. It's what we actually do.

Techjays helps global enterprises rebuild the way they operate using AI at the core: not as a pilot, not as a feature, but as a foundational layer across products, workflows, and infrastructure. We're an Anthropic partner, which means our engineers get early access to frontier models and tools before they hit the market.

Our team includes engineers and leaders from Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. We run like a high-agency startup, but we build production systems that real enterprise clients depend on.

Every project is greenfield. Every line of code you write ships.

What This Role Actually Is

This isn't a "keep the monolith alive" job.

You'll be designing and building new AI-powered features, integrating LLM APIs into production Rails applications, and using Claude Code as a core part of your daily workflow — not as an experiment. You'll work directly with US-based enterprise clients alongside Product Managers, AI Business Consultants, and Delivery Excellence Managers.

Your architecture decisions will have visible business impact.

What You'll Own

• Design, build, and maintain production-grade Ruby on Rails applications for US enterprise clients — from architecture to deployment
• Integrate LLM APIs (Claude, GPT-4, Gemini) into the Rails stack, building AI-powered features that drive real business outcomes
• Use Claude Code daily as your AI development partner — for generation, debugging, documentation, and velocity
• Build responsive, performant React front-ends from wireframes and design specs
• Own RESTful and GraphQL API design for client applications and third-party integrations
• Drive database design and optimisation — schema, queries, indexing, and migrations on PostgreSQL/MySQL
• Lead code reviews and raise the technical bar through constructive feedback
• Document architecture decisions, API contracts, and implementation patterns

Must-Haves

• 6+ years of deep, production-grade Ruby on Rails experience — advanced framework patterns, background jobs (Sidekiq/Redis), design patterns, best practices
• Hands-on experience with Claude Code (Anthropic) for AI-assisted development — this is central to how we build
• Strong React skills — hooks, component architecture, state management, wireframe to production
• Expert-level PostgreSQL/MySQL — schema design, query optimisation, indexing, performance tuning
• Proven experience designing RESTful and GraphQL APIs at scale
• Experience integrating third-party LLM APIs (OpenAI, Anthropic, Google Gemini) into production Rails apps
• Strong software architecture fundamentals — MVC, service objects, design patterns, testability
• Deep comfort with Git, Gitflow, and PR-based collaboration workflows

Good to Have

• Python for scripting, automation, or backend service integration alongside Rails
• AWS familiarity — EC2, S3, RDS, Lambda — for deployment and infrastructure
• MongoDB or NoSQL in polyglot persistence architectures
• Vector databases (Pinecone, pgvector, Weaviate) for LLM application development
• LangChain, LangGraph, or similar orchestration frameworks for AI agents
• SaaS multi-tenancy patterns and high-traffic web application experience
• Open source contributions or a strong public GitHub profile

Why Join Techjays

• Claude Code is standard practice here, not a side experiment — you'll use it every day to ship faster and smarter
• Anthropic partner access — early visibility into frontier AI tools and capabilities before the market sees them
• Greenfield only — you'll design architecture, not inherit technical debt
• Global client exposure — your engineering decisions translate directly to measurable business outcomes for US enterprise clients
• Team pedigree — you'll learn alongside engineers who've shipped at real scale at Google, Akamai, and NetApp
• AI is the product here, not a feature. You'll spend your career at the intersection of software engineering and AI systems

What We're Looking For Beyond the Resume

• Builder mindset — you think in systems, not tickets
• Ownership — you take features from idea to production
• Structured thinking in ambiguous, fast-moving environments
• Clear communicator, collaborative team player

What We Offer

• Competitive compensation
• Hybrid work — Coimbatore office or remote flexibility
• Paid holidays and flexible time off
• Medical insurance for self and family (up to ₹4 Lakhs per person)
• Opportunity to work on production-grade AI systems for global clients
• A culture built on clarity, integrity, and continuous growth

Location: Coimbatore / Chennai — Hybrid Notice Period: Immediate to 30 days preferred

Key Focus Areas:-

• Scalable SaaS and distributed systems

• Microservices architecture

• Backend performance and API optimization

• Cloud infrastructure and DevOps

• Multi-tenant platforms

• Reliability, scalability, and engineering governance

Main Responsibilities:-

• Design fault-tolerant backend systems

• Lead architecture decisions and technical planning

• Improve system performance, scalability, and deployment workflows

• Guide senior developers and enforce engineering standards

• Reduce technical debt and solve complex production issues

• Collaborate with DevOps on CI/CD, monitoring, and AWS infrastructure.

• You will work on complex, enterprise-scale systems including large SaaS platforms, distributed backend architectures, pricing intelligence engines, CRM solutions, 3D configuration ecosystems, route optimization modules, payment integrations, high-volume APIs, and modern cloud infrastructure.

• We are not looking for a “people manager who used to code.

Required Skills:-

• Backend: Node.js, TypeScript, REST APIs, event-driven systems

• Frontend Understanding: React.js architecture concepts

• Databases: PostgreSQL, MySQL, Redis, query optimization

• Cloud/DevOps: AWS, Docker, CI/CD, Kubernetes (preferred)

• System Design: Microservices, distributed systems, high-availability SaaS platforms

Preferred Experience:-

• SaaS product companies

• Enterprise CRM systems

• Large-scale production platforms

• Pricing engines, WebGL/3D systems, AI-assisted workflows

• U.S.-based product engineering environments

Experience Needed:-

• 10–15 years in software engineering

• 3+ years in architect/principal engineer/engineering lead roles

• Proven experience building scalable production systems

Ideal Candidate:-

A technically strong, ownership-driven architect who:

• Thinks strategically

• Stays calm under pressure

• Solves complex engineering problems

• Mentors teams effectively

• Builds long-term scalable systems rather than quick fixes

If your code breaks here, it doesn’t just throw an error.

Jobs don’t get fulfilled. Farmers lose trust during crop windows that don’t wait.

We’re hiring a Software Development Engineer in Bangalore to build the systems that keep real-world operations running — from customer-facing products to the internal tools field teams depend on every morning.

→ Design, build, and ship across the stack: backend services, APIs, mobile/web field apps, and operational dashboards

→ Build systems for deployment, attendance, check-in/check-out, work verification, and issue resolution

→ Make products work in low-connectivity, field-heavy conditions with offline-first and vernacular-first experiences

→ Own features end to end — from design discussions to deployment to on-call

→ Work closely with Product, Ops, and field users to solve what’s actually happening on the ground

→ Contribute to data pipelines and analytics that power planning, forecasting, and unit economics

• 1–5 years building production software

• Comfortable across the stack, or deep in one area and ready to stretch

• Strong ownership mindset — you ship, debug production issues, and care if it works for the user

• Pragmatic with trade-offs and able to balance speed with quality

• Bonus if you’ve built for low-bandwidth, offline-first, next-billion-user contexts

Stack: Python, Django, React, PostgreSQL, Redis, AWS/GCP, Docker, CI/CD

You’ll be building software for the real economy — farmers, labour, livelihoods — not another dashboard for another SaaS tool.

📍 Bangalore (on-site) | Reporting to CTO

If this sounds like you — or someone you’d bet on — tag them in the comments or DM me.

#Hiring #SoftwareEngineer #BackendEngineer #FullStackDeveloper #BangaloreJobs #TechJobs

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

🚀 Hiring: MERN Stack Developer

⭐ Experience: 3+ Years

📍 Location: Mumbai ( Andheri East)

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We are looking for a MERN Stack Developer skilled in MongoDB, Express.js, React.js, and Node.js to build scalable, high-performing web applications.

💫 What We’re Looking For:

✅ Proficiency in React.js, Node.js, Express.js, MongoDB

✅Strong in JavaScript (ES6+), REST APIs, Git

✅Good problem-solving & debugging skills

Company Overview:

Pripton Innovations is a dynamic technology company focused on developing cutting-edge AI-powered solutions for the AI services industry. We build and deploy sophisticated platforms that leverage large language models (LLMs) to automate complex processes, enhance decision-making, and improve customer experiences. Our solutions are currently utilised by several leading institutions, impacting millions of users globally.

Role Overview:

As a Fullstack Product Engineer at Pripton Innovations, you will be instrumental in designing, developing, and deploying innovative features for our core AI platform. You will collaborate closely with product managers, designers, and other engineers to translate product requirements into robust, scalable, and user-friendly solutions. Your work will directly impact the efficiency and effectiveness of our AI-driven tools, ultimately driving better outcomes for our clients and their customers.

Key Responsibilities:

- Develop and maintain high-quality, performant APIs using NestJS and FastAPI to support our AI-powered applications.

- Build and enhance interactive user interfaces with Next.js and Tailwind CSS, ensuring a seamless and engaging user experience.

- Implement real-time communication features using Socket.io to facilitate dynamic interactions within our platform.

- Design and optimise database schemas and ORM configurations to ensure efficient data storage and retrieval.

- Deploy and manage applications using Docker and container orchestration technologies to maintain high availability and scalability.

- Write clean, well-documented, and testable code, adhering to industry best practices.

- Collaborate with cross-functional teams to define, design, and ship new features.

- Troubleshoot and resolve production issues, ensuring minimal disruption to our users.

- Contribute to the continuous improvement of our development processes and tools.

Required Skillset:

- Demonstrated ability to design and implement scalable and maintainable full-stack applications.

- Proven experience with backend technologies such as NestJS, FastAPI, and Python.

- Expertise in frontend development using Next.js and Tailwind CSS.

- Proficiency in working with databases and ORM frameworks.

- Solid understanding of real-time communication protocols and experience with Socket.io.

- Experience with containerization technologies like Docker and Git version control.

- Strong problem-solving skills and the ability to work independently and as part of a team.

- Excellent communication and collaboration skills, with the ability to articulate technical concepts clearly.

- Bachelor's degree in Computer Science or a related field.

- Adaptability to a remote work environment and ability to manage time effectively.

Responsibilities:

We want you to show off your technical skills, but we also want you to be creative and think outside the box. Here are some of the ways you'll be flexing your tech muscles:

• Use your superpowers to solve complex technical problems, combining your excellent abstract reasoning ability with problem-solving skills.
• Efficient in at least one product or technology of strategic importance to the organisation, and a true tech ninja.
• Stay up-to-date with emerging trends in the field, so that you can keep bringing fresh ideas to the table.
• Implement robust and extensible code modules as per guidelines. We love all code that's functional (Don’t we?)
• Develop good quality, maintainable code modules without any defects, exhibiting attention to detail. Nothing should look sus!
• Manage assigned tasks well and schedule them appropriately for self and team, while providing visibility to the mentor and understanding the mentor's expectations of work. But don't be afraid to add your own twist to the work you're doing.
• Consistently apply and improve team software development processes such as estimations, tracking, testing, code and design reviews, etc., but do it with a funky twist that reflects your personality.
• Clarify requirements and provide end-to-end estimates. We all love it when requirements are clear (Don’t we?)
• Participate in release planning and design complex modules & features.
• Work with product and business teams directly for critical issue ownership. Isn’t it better when one of us understands what they say?
• Feel empowered by managing deployments and assisting in infra management.
• Act as role model for the team and guide them to brilliance. We all feel secured when we have someone to look up to.

Qualifications:

We want to make sure you're a funky, tech-loving person with a passion for learning and growing. Here are some of the things we're looking for:

• You have a Bachelor's or Master’s degree in Computer Science or a related field, but you also have a creative side that you're not afraid to show.
• You have excellent abstract reasoning ability and a strong understanding of core computer science fundamentals.
• You're proficient with web programming languages such as HTML, CSS, JavaScript with at least 5+ years of experience, but you're also open to learning new languages and technologies that might not be as mainstream.
• You’ve 5+ years of experience with backend web framework Django and DRF.
• You’ve 5+ years of experience with frontend web framework React.
• Your knowledge of cloud service providers like AWS, GCP, Azure, etc. will be an added bonus.
• You have experience with testing, code, and design reviews.
• You have strong written and verbal communication skills, but you're also not afraid to show your personality and let your funky side shine through.
• You can work independently and in a team environment, but you're also excited to collaborate with others and share your ideas.
• You've demonstrated your ability to lead a small team of developers.
• And most important, you're also excited to learn about new things and try out new ideas.

This is an mid-level position, you'll get to flex your coding muscles, work on exciting projects, and grow your skills in a fast-paced, dynamic environment. So, if you're passionate about all things tech and ready to take your skills to the next level, we want YOU to apply! Let's make some magic happen together!

We are located in Delhi. This post may require relocation.

Senior Software Engineer

• Minimum 5 years in typescript and Total of minimum 8 Years of experience
• Excellent communication skills. English Language fluency is Mandatory.

We are looking for strong backend senior engineers

• 8+ years experience as Senior Software Engineer
• Have worked in medium- to big-sized companies for at least 3 years ( companies with 50+ developers)
• Strong architecture and planning skills
• Strong AI coding skills (being fluent in developing agents and skills) and using them in their development routines
• Distributed programming knowledge
• Typescript, Postgres & Kubernetes knowledge.

Ways of working

The engineers will be lead/managed by a UK Multinational company engineer manager (initially one currently based in Europe), and we are going to work on hiring one in Asia if we succeed in putting the team together

Engineers will have a direct contract with UK Multinational Company as career employees (entitled to company benefits and career progression) and will be trained in the UK Multinational Company product portfolio and work on several different projects.

We work in an environment where each engineer is presented with a business problem (or user story) and must come up with a detailed plan on how to tackle it (and explain and get approval from the team), which we do during the refinement meetings. In summary, we do not tell the engineers what to do, our expectation from a Senior engineer is that he tells us what to do (he will be trained, of course, in the best practices and technical specs of our environment).

Hiring process

• Hiring manager interview
• System Design interview
• Coding (with AI) interview

Job Description:

Profile: Senior Python AI/ML Engineer

Required experience: 5-9 Years

Location: Mohali, Punjab (WFO only, no hybrid )

B.tech/ MCA preferred

Immediate joiners

We are looking for a Senior Python (AI/ML) Engineerto build and scale a production-grade AI-powered platform focused on image understanding, scene reconstruction, and automated media generation. This is a backend-heavy role requiring strong expertise in system design, asynchronous processing, and scalable API development.

You will work closely with AI/ML, frontend, and DevOps teams to deliver high-performance systems that power object detection, segmentation, and 3D reconstruction pipelines.

Key Responsibilities:

- Design and develop scalable backend services and APIs using FastAPI

- Build modular,maintainable systems with clear service contracts and abstractions

- Implement asynchronous processing pipelines for compute-heavy AI workloads

- Design and manage job queues (Celery, RQ, or similar) and integrate Redis

- Handle long-running and GPU-based tasks- Work with PostgreSQL and integrate object storage (S3 or equivalent)

- Integrate and productionize ML models

- Optimize inference pipelines for latency, batching, and throughput

- Ensure system reliability with retries, fallbacks, and monitoring

- Collaborate with Data Science, Frontend, and DevOps teams

Required Skills:

- 5+ years of Python development experience

- Hands-on experience with FastAPI and REST APIs

- Strong understanding of async programming and scalable systems

- Experience with Redis and queue systems (Celery, RQ, Kafka)

- Strong PostgreSQL experience

- Experience with Docker (mandatory); Kubernetes is a plus

- Familiarity with AWS, GCP, or Azure

Good to Have:

-Exposure to AI/ML pipelines (YOLO, DETR, SAM, etc.)

- Experience deploying ML models in production

- Understanding of GPU workloads and optimization

- Background in image/video processing or real-time systems

What We’re Looking For:

- Strong problem-solving and system design mindset

- Ability to handle real-world scale and unstructured data

- Experience in AI-integrated backend systems

Benefits:

• Flexible schedule
• Health insurance
• Leave encashment
• Provident Fund

Job Title : Senior Node.js Developer (SDE 2)

Experience : 5+ Years

Location : Bengaluru (Whitefield)

Work Mode : Hybrid (3 Days WFO)

Openings : 2

Notice Period : Immediate–20 Days Preferred

Role Overview :

We are looking for an experienced Senior Node.js Developer (SDE 2) professional with strong expertise in building scalable backend applications, microservices, and distributed systems in Agile environments.

Mandatory Keywords :

Node.js, JavaScript, TypeScript, GraphQL, Microservices, Cloud, REST APIs, Docker, Kubernetes, Redis, System Design.

Key Responsibilities :

• Design, develop, and deploy scalable backend systems using Node.js & TypeScript.

• Build REST APIs and GraphQL services.

• Develop secure, reusable, and high-performance applications.

• Work on microservices, cloud platforms, and production support.

• Follow best practices including TDD, testing, and DevOps processes.

• Mentor team members and contribute to technical excellence.

Mandatory Skills :

• 5+ years of software development experience.

• Strong hands-on experience in Node.js, JavaScript, TypeScript.

• Experience with Express.js/Koa/Sails.js.

• GraphQL, REST APIs, Microservices

• AWS/Azure/GCP Cloud

• Docker, Kubernetes, Redis

• Strong understanding of distributed systems, Git, and DevOps.

Good to Have :

Kafka, RabbitMQ, Apollo Federation, New Relic, Datadog, Splunk, React.js/Next.js, Jest/Mocha/Cucumber

Interview Process :

• L1 – Technical
• L2 – Coding
• L3 – System Design (HLD + LLD)

About Us:

We are hiring for a pre seed funded startup called Zeromoblt (https://zeromoblt.com/), a high-agency Hyderabad-based startup revolutionizing student transportation with lean, intelligent tech stacks.

Our mission: architect world-class systems from scratch—fast, scalable, and algorithmically sharp—using Kotlin, React, AWS (EC2, IoT, IAM), Google Maps, and multi-cloud setups. Stealth mode operations mean you're building 0→1 products with founders, not fixing tickets.

What You'll Do

• Lead end-to-end ownership of complex systems: design, build, deploy, monitor, and iterate at scale.
• Architect high-performance backends in Kotlin (or JVM langs) that handle real-time routing and IoT data.
• Craft scalable React UIs that power ops dashboards and parent-facing apps.
• Drive cloud decisions across AWS, Azure/GCP—optimising costs for our bootstrap runway.
• Apply DSA/system design to solve hard problems like dynamic route optimization and predictive scaling.
• Shape the engineering roadmap: propose, prioritise, and ship features with founders.
• Mentor juniors while executing solo on high-impact bets—no layers, just results.

We're Looking For

• 3-6 years of hands-on engineering where you've owned and shipped production systems (prove it with code/stories).
• Elite CS fundamentals: advanced DSA, system design (distributed systems a must), design patterns.
• Mastery of Kotlin/Java + modern React; real AWS experience (EC2, IAM, CLI—you know our stack).
• Proven "leap-taker": startup grit, side projects, or open-source that screams hunger.
• Figure-it-out velocity: you thrive in chaos, learn our domain overnight, and deliver 10x faster than peers.

This Role Is Not For You If…

• You need structured roadmaps, PM hand-holding, or big-tech process.
• Comfort > impact: stable salary over equity upside and chaos.
• You've never worn all hats (dev, ops, product) in a resource-constrained environment.

Why Join Us

• Massive ownership: lead tech for 10k+ students, direct founder access, shape ZeroMoblt's scale.
• Flat, high-trust team: flexible Hyderabad/remote, no bureaucracy.
• Hungry culture: we hire hustlers scaling from 700 to 10k students your wins are visible daily.
• Hungry to Leap? Apply now!

Title: Sr. Python Developer (Full-Stack & AI)

Location: Onsite – Mumbai, Maharashtra (Western Line)

Experience: 2 - 5+ years

Pay: ₹400,000.00 - ₹600,000.00 per year

Joining: Immediate

About the Role

We are building AI products for enterprise use and need a Senior Python Developer for our core team. You will be responsible for the full-stack architecture—designing both the backend and frontend. We want someone who works smart by using AI tools to build fast, but also has great skills to code manually when the logic is complex or needs high precision.

Key Responsibilities

• Build and maintain full-stack applications using Python and Django.
• Use AI-powered IDEs and development tools as your primary method to ship code quickly.
• Perform manual coding and deep debugging for complex logic that AI cannot handle alone.
• Collaborate with AI/ML teams to put machine learning models into production.
• Design how the entire system (frontend, backend, and database) works together.
• Optimize the application for speed, security, and reliability.
• Participate in technical discussions and help make architecture decisions.

Required Skills & Experience

• Minimum 5 years of professional Python development experience.
• Strong expertise in Django (Primary) and experience with FastAPI or Flask.
• Full-stack capability: Ability to design and build both the frontend and backend.
• Modern Tooling: High proficiency in using AI-powered IDEs and AI dev-agents to speed up your workflow.
• Manual Coding: Strong ability to write clean, manual code for complex backend logic.
• Solid understanding of databases like PostgreSQL, MySQL, or Redis.
• Familiarity with Cloud platforms (AWS/Azure/GCP) and Docker.
• Experience or strong interest in AI/ML pipeline integration.

Good to Have

• Experience with React or Next.js for the frontend.
• Exposure to message brokers like RabbitMQ or Kafka.
• Knowledge of Vector databases or RAG pipelines.
• Experience with CI/CD and basic DevOps.

Experience:

• Total: 3 years (Required)
• Python/Django: 3 years (Required)

Work Location: In person (Borivali, Mumbai)

Software Development Engineer 1 (SDE1)

Location: Remote (India preferred) | Type: Full-time | Compensation: Competitive salary + early-stage stock options

🧠 About Alpha

Modern revenue teams juggle 10+ point-solutions. Alpha unifies them into an agent-powered platform that plans, executes, and optimises GTM campaigns—so every touch happens on the right channel, at the right time, with the right context.

Alpha is building the world’s most intuitive AI stack for revenue teams —to engage, convert & scale revenue with an AI powered GTM team. l

Our mission is to make AI not just accessible, but dependable and truly useful.

We’re early, funded, and building with urgency. Join us to help define what work looks like when AI works for you.

🔧 What You’ll Do

You’ll lead the development of our AI GTM platform and underlying AI agents to power seamless multi-channel GTMs.

This is a hybrid UX-engineering role: you’ll translate high-level user journeys into interfaces that feel clear, powerful, and trustworthy.

Your responsibilities:

• Design & implement end-to-end features across React-TS/Next.js, Node.js, Postgres, Redis, and NestJs micro-services for LLM agents.
• Build & document scalable GraphQL / REST APIs that expose our data model (Company, Person, Campaign, Sequence, Asset, ActivityRecord, InferenceSnippet).
• Integrate third-party APIs (CRM, email, ads, CMS) and maintain data sync reliability > 98 %.
• Implement the dynamic agent flow builder with configurable steps, HITL checkpoints, and audit trails.
• Instrument product analytics, error tracking, and CI pipelines for fast feedback and safe releases.
• Work directly with the founder on product scoping, technical roadmap, and hiring pipeline.

✅ What We’re Looking For

• 1–3 years experience building polished web apps (React, Vue, or similar)
• Strong eye for design fidelity, UX decisions, and motion
• Experience integrating frontend with backend APIs and managing state
• Experience with visual builders, workflow editors, or schema UIs is a big plus
• You love taking complex systems and making them feel simple

💎 What You’ll Get

• Competitive salary + high-leverage early equity
• Ownership of user experience at the most critical phase
• A tight feedback loop with real users from Day 1
• Freedom to shape UI decisions, patterns, and performance for the long haul

We are building VYXN.AI — a full AI content generation platform with a web application, Templates, Workflow / Space, dynamic credits/coins pricing, AI provider integrations, Telegram bot and Telegram Mini App.

The final goal is not a small prototype. The product should be built in clear stages:

1. Technical Foundation

2. First usable product release

3. Full commercial launch scope

The first stage should focus on building a stable technical base, not an over-engineered enterprise system.

Core product areas:

- Web AI content generation platform

- Text module with selectable AI text models

- Image / Design generation via external AI APIs

- Video generation via external AI APIs

- Templates section with visual examples, prompts and user photo upload

- Dynamic credits / coins pricing based on provider, model, quality, duration and generation parameters

- Generation history

- User dashboard

- Admin panel

- AI provider integration layer

- Basic working version of Workflow / Space with node-based UI

- Telegram bot

- Telegram Mini App

- Customer support bot

- Multilingual support

Important:

The platform should be built using existing AI APIs and providers, not by training custom AI models at the first stage.

We are looking for a Senior Full-Stack Developer / Tech Lead who can write code, structure the project technically, and help define the right staged development plan.

Responsibilities:

- Review the full project brief and propose a practical implementation plan

- Build or lead the core web application

- Implement frontend and backend logic

- Integrate external AI generation APIs

- Build user dashboard, admin panel, generation history and credits/coins logic

- Set up database, storage, deployment and basic monitoring

- Help structure AI provider integrations and dynamic pricing

- Help define Workflow / Space architecture

- Help define Telegram bot / Mini App integration approach

- Work with UI/UX designer, Telegram developer, workflow/frontend developer or other specialists if needed

Required skills:

- React.js / Next.js

- TypeScript

- Node.js

- PostgreSQL

- API integrations

- SaaS or web platform experience

- Backend architecture understanding

- Ability to work independently and communicate clearly

- Comfortable with fixed milestones and clear acceptance criteria

Nice to have:

- Redis / BullMQ / queues

- AI API integrations

- Image or video generation API experience

- React Flow or node-based workflow UI experience

- AWS / GCP / Cloudflare / S3-compatible storage

- Telegram Bot / Telegram Mini App experience

- Dynamic pricing, wallet, credits or usage-based billing experience

- Admin panels and support tools

Project format:

- Remote

- Contract or full-time possible

- Fixed milestones preferred for the first stages

- Code must be developed in our GitHub repository

- Deployment should be done through project-owned accounts

- Long-term cooperation possible if the first stage goes well

We are not looking for a large agency. We prefer a strong individual developer or a compact team that can move fast, communicate clearly and build a practical commercial product in stages.

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.

Director of Engineering — Flights Platform

AI-First Travel Commerce · High-Scale Distributed Systems · Marketplace Infrastructure

🌏 The Problem Space

A flight search looks trivially simple. It is anything but.

Every query you fire triggers a choreography of distributed systems operating in real-time — integrating with a dozen airline GDS/NDC providers, computing dynamic fares across inventory buckets and fare rules, ranking thousands of itineraries by relevance and business intent, and returning a ranked, priced, bookable result set — all in under 100ms.

→ Millions of search queries per minute

→ <100ms end-to-end SLA with external API dependencies

→ High-value transactions — a bug here means a missed booking, not a failed render

→ Pricing errors erode trust faster than any other failure mode

We are rebuilding the Flights platform as a real-time commerce engine for Bharat — AI-native from day zero, built to power both B2C consumer journeys and high-stakes B2B enterprise corridors.

This is a once-in-a-decade opportunity to build national-scale flight infrastructure from first principles.

🧠 What You Will Own

You will own the full Flights platform — systems, architecture, and the teams that build them.

Core System Domains:

•Search Systems — high-throughput, low-latency query pipelines returning ranked, bookable options

•Pricing & Fare Engine — dynamic pricing logic, fare rules, promotional overlays, and real-time validation

•Booking & Ticketing — transaction-critical flows requiring strict consistency, idempotency, and zero data loss

•Airline Integrations — managing unreliable external GDS/NDC APIs with retries, circuit-breakers, and reconciliation

•Post-Booking Flows — cancellations, modifications, refunds — correctness at the margin is non-negotiable

Platform Scope:

•High-scale APIs serving consumer apps, B2B enterprise clients, and third-party partners

•Event-driven state machines managing booking workflows across async boundaries

•Observability and reliability infrastructure across all mission-critical flows

Team Scope:

•Lead 15–30+ engineers across multiple product and platform teams

•Manage Engineering Managers and Principal/Staff engineers

•Own hiring, org design, and technical direction

⚙️ Core Engineering Challenges

This role is fundamentally about making the right trade-offs under uncertainty — at scale.

Latency vs. Accuracy — when do you serve a cached fare vs. call a live airline API?

Availability vs. Consistency — graceful degradation at booking time vs. strict price validation

Cost vs. Performance — when is an external API call worth it vs. a cache hit?

Scalability vs. Simplicity — the best system is the one your team can reason about under incident

🤖 AI-First Engineering

AI is not an afterthought. It is load-bearing architecture.

•LLM-powered pricing intelligence — dynamic fare prediction and demand signals

•RAG pipelines for fare rules, refund policy, and support automation

•Agentic booking resolution workflows — autonomous exception handling at scale

•MCP-based orchestration layers for multi-provider integration

⚖️ Key Responsibilities

Architecture & Distributed Systems

•Design and evolve sub-100ms distributed query systems serving millions of concurrent searches

•Build fault-tolerant booking pipelines with strong consistency and durability guarantees

•Drive Kafka-based event architectures for booking state management

Reliability & Observability

•Own 99.99%+ availability for booking and pricing systems

•Build deep observability — metrics, distributed tracing, structured logging, SLOs/SLAs

•Lead post-incident reviews and drive systemic reliability improvements

Business Partnership

•Partner with Product, Revenue, and Partnerships to translate commercial goals into architecture

•Influence platform roadmap, supplier strategy, and long-term technical investment

🛠️ Technology Stack

Backend: Java · Kotlin · Go · Python

Architecture: Microservices · Event-Driven (Kafka) · gRPC

Data: Redis · Aerospike · DynamoDB · Elasticsearch

Cloud: AWS (EKS, EC2, S3)

Observability: Prometheus · Grafana · OpenTelemetry

👤 Who You Are

•12–16 years in backend/distributed systems; 5+ Years in an Engineering Leadership role, led teams of 15–50 engineers

•Built and scaled large B2C + B2B platforms — Travel Tech, FinTech, or high-scale Consumer

•Deep expertise in real-time systems, marketplace dynamics, and external API integration

•Tier-I institute background strongly preferred (IIT / IIIT / NIT / IISC / BITS / VIT / SRM — CSE/ISE)

🚀 Why This Matters

Build national-scale infrastructure for 1.4 billion people

Sit at the intersection of AI · distributed systems · marketplace economics

Define the future of travel commerce in India — from architecture to product

Key Responsibilities:

• Work on highly distributed and scalable system architecture

• Design, develop, test, and maintain high-quality software solutions

• Ensure performance, security, and maintainability of applications

• Collaborate with cross-functional teams and stakeholders

• Perform system testing and resolve technical issues

Required Skills:

• Strong experience in ASP.NET, C#, .NET Core, MVC

• Hands-on experience with SQL Server / PostgreSQL

• Experience in Angular / React (Frontend technologies)

• Knowledge of microservices architecture & RESTful APIs

• Familiarity with CQRS pattern

• Exposure to AWS / Docker / Kubernetes

• Experience with CI/CD pipelines (Azure DevOps, Jenkins)

• Knowledge of Node.js is an added advantage

• Understanding of Agile methodology

• Good exposure to cybersecurity and compliance

Technology Stack:

• Microsoft .NET technologies (primary)

• Cloud platforms: AWS (SaaS/PaaS/IaaS)

• Databases: MSSQL, MongoDB, PostgreSQL

• Caching: Redis, Memcached

• Messaging queues: RabbitMQ, Kafka, SQS

About Superclaims

Superclaims modernizes health insurance claims adjudication with intelligent automation. We help insurers and TPAs replace manual, document-heavy workflows with faster, more accurate decisions at scale.

Role: Python Backend Developer

We are looking for a Python Backend Developer who is excited to build AI-powered automation products in a fast-paced startup environment.

What you'll do

- Build and maintain scalable backend systems and APIs

- Develop intelligent data extraction pipelines using AI/ML

- Design and implement agentic workflows with LangGraph

- Design efficient database schemas and optimize queries in PostgreSQL

- Integrate and work with LLMs (OpenAI, Gemini, or similar)

- Collaborate with product, frontend, and data teams to deliver end-to-end features

- Write clean, tested, and well-documented code

Must-have skills

- Strong proficiency in Python and a modern web framework (FastAPI or similar)

- Experience with PostgreSQL and an ORM (SQLAlchemy preferred)

- Solid understanding of RESTful API design and best practices

- Hands-on experience or strong familiarity with LangGraph

- Experience working with LLMs (OpenAI, Gemini, or similar providers)

- Comfort with Git/version control and collaborative development workflows

Nice-to-have skills

- Experience with Docker and containerized deployments

- Knowledge of Redis for caching or background tasks

- Exposure to cloud platforms (GCP, AWS, or Azure)

- Experience with vector databases and retrieval-augmented generation

- Basic prompt engineering skills

- Experience with object storage (S3/MinIO)

What we're looking for

- 1+ years of Python backend development experience (open to exceptional freshers)

- Fast learner with genuine curiosity about AI/ML and automation

- Prior startup experience preferred

- Ownership mindset, bias for action, and comfort with ambiguity

- Ready to relocate to Hyderabad (work location)

How to apply

Please share:

- Your resume

- GitHub/Portfolio link

- A brief note on why you're interested in AI-powered automation and Superclaims

Job role: Systems Engineer (L2)

Location: Remote/Bengaluru

Experience: 3-6 years

About the Role:

We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.

Key Responsibilities:

 — Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.

 — Manage and optimize networking components — routers, switches, firewalls, load balancers.

 — Handle incident response — monitor systems, identify issues, resolve production problems.

 — Implement DevOps best practices — CI/CD pipelines, automation, containerization.

 — Collaborate with backend and product teams on system architecture.

— Performance tuning — ensure high availability and reliability of platform.

— Security management — implement security protocols and compliance standards.

Required Skills:

Technical:

• Linux/Unix administration — strong fundamentals
• Networking — TCP/IP, DNS, BGP, VoIP protocols
• Cloud platforms — AWS/GCP/Azure — minimum 2 years
• DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
• Monitoring tools — Grafana, Prometheus, Kibana, Datadog
• Scripting — Python, Bash, Shell
• Databases — MySQL, PostgreSQL, Redis

Soft skills:

• Strong problem-solving under pressure
• Good communication — English written and verbal
• Team player — collaborative mindset

Good to Have:

• Experience in telecom/CPaaS/cloud communications industry
• Knowledge of VoIP, SIP, RTP protocols
• AI/ML operations experience
• CCNA/AWS certifications

Job Title: Lead Software Engineer

Experience: 4 - 12 yr

Department: Software

Reports To: Senior Software Engineer / Software Architect

Purpose of the Role

The incumbent will be responsible for designing and developing robust software solutions for products in the domains of Warehouse Automation, Industrial Automation, Robotics, and IoT. The role includes defining software architecture, ensuring scalability and performance, and mentoring the development team to drive technical excellence and innovation.

Technical Skills Required

• Proven experience in designing, developing, and deploying high-volume, scalable applications.
• Expertise in distributed systems, microservices, and central system architectures.
• Programming & Frameworks: Proficiency in Java 17+.
• Experience with frameworks such as Spring, Hibernate, Kubernetes, and RESTful APIs.
• Knowledge of JPA, MS SQL, and database modelling/design.
• Hands-on experience with GCP, AWS, or Azure for cloud architecture.
• Familiarity with virtualization and containerization technologies.
• Strong skills in data modelling and database design.
• Knowledge of secure coding practices.
• Tech stack: Java, MSSQL, MySQL, Spring Boot, Redis, Data Structures, Linux, basics of Kubernetes.

Behavioural Skills Required

• Attention to Detail (Proficient)
• Problem Solving
• Decision Making
• Collaborative approach
• Adaptability to a volatile environment
• Accountability
• Good Leadership skills

Job Responsibilities

• Understand requirements and define database and application structure under guidance of Software Architect.
• Write high-quality, scalable, and efficient code.
• Prepare Functional Requirement Documents (FRD) based on inputs from BA team.
• Guide junior and mid-level developers and provide technical support.
• Collaborate to identify and fix technical issues in UAT/Production.
• Work closely to meet project deadlines.
• Take ownership of product implementations at customer sites.
• Hands-on development for assigned modules/products.
• Handle application performance in production.
• Work with customers to understand automation requirements.
• Review and merge code changes from the team.
• Conduct sprint meetings, demos, and resolve development roadblocks.
• Optimize code for performance and efficiency.

WHAT YOU'LL WORK ON

• Build and scale backend services using Node.js & Express
• Architect and optimize MongoDB schemas for performance
• Contribute to frontend features with Next.js & React
• Debug production issues, optimize API latency & CI/CD pipelines
• Integrate MathJax (LaTeX rendering) & VdoCipher (secure video)

WHAT WE'RE LOOKING FOR

• Strong DSA fundamentals — logical thinking over competitive coding
• Deep JavaScript/TypeScript knowledge: Closures, Promises, Event Loop
• 1–2 original projects (no To-Do apps or tutorial clones)
• Ability to independently pick up Docker, Redis, or AWS
• Ownership mindset — ensure it works in production, not just locally

BONUS POINTS

• Docker / containerization basics
• Real-world AWS experimentation (EC2, S3, Lambda)
• Active GitHub profile: open-source contributions or unique projects

AI Usage Policy:

We encourage AI tools (Cursor, Copilot, GPT-4) as force multipliers — but you must own your code, explain rade-offs, and debug without solely relying on AI.

HOW TO APPLY

• Share your GitHub profile link
• Include live demo links to your best, most original projects

We value what you've built far more than what's on your resume.

WHAT YOU'LL WORK ON

• Design and implement scalable APIs and microservices using Node.js & Express
• Manage deployments via GitHub Actions and CodeDeploy; work with Docker & AWS
• Optimize MongoDB queries and use Redis caching for high-concurrency traffic
• Bridge Figma designs to backend logic using Next.js and Tailwind CSS
• Maintain monitoring with Nginx & PM2 to ensure 99.9% uptime

WHAT WE'RE LOOKING FOR

• 1+ year of professional experience building and maintaining production applications
• Deep Node.js knowledge: async programming, RESTful API architecture
• MongoDB mastery: schema design, indexing strategies, complex aggregation pipelines
• Hands-on AWS (EC2/S3 minimum) and practical CI/CD pipeline experience
• Proven ability to take a feature from PRD / Figma to stable production deployment

WHAT WILL MAKE YOU STAND OUT

• Experience maintaining apps with high concurrent user counts
• Comfortable with Nginx configs and Dockerfiles
• Hands-on with payment gateway integration (Cashfree) and webhook handling
• Obsession with maintainable, well-documented, DRY code

AI Usage Policy:

AI tools (Cursor, Copilot, GPT-4) are force multipliers — use them. But you must own your code, reason hrough architectural trade-offs, and debug without relying solely on AI.

HOW TO APPLY:

• Tell us about the most complex bug you've solved or a backend system you built from scratch
• Share your GitHub profile
• Include at least two live project links showcasing your best work
• Your code will directly impact the learning outcomes of thousands of students.

Job Title: Full Stack Engineer (Django + Next.js)

We’re looking for a Full Stack Engineer with strong backend fundamentals and solid frontend experience to build scalable web products and APIs.

Must-Have

• Django + DRF (2+ years): Models, serializers, services, API views, migrations, query optimization (select_related / prefetch_related), transaction.atomic, custom managers

• Next.js + React (2+ years): App Router, SSR, client components, dynamic imports, useQuery, responsive UIs with Tailwind

• REST APIs: Auth, permissions, pagination, error handling, CORS, JWT flows

• PostgreSQL: Schema design, indexes, constraints, JSON fields, raw SQL when needed

• Celery / async tasks: Retry logic, idempotency, task chaining

• Git: Clean commits, branching, PR workflow

Good to Have

• AI / LLM integrations

• AWS S3 and presigned uploads

• Multi-tenancy

• WebRTC / MediaRecorder

• Docker

• Testing with pytest / Django TestCase / factory_boy

We’re looking for someone who can independently own features end-to-end and write clean, scalable code.

Job Title : Golang Backend Developer

Experience : 3+ Years

Location : Bangalore (Work From Office)

Notice Period : Immediate to 15 Days (Strict)

🚀 About the Role :

We are looking for a Backend Developer with strong Golang expertise to build scalable, high-performance systems. You will play a key role in designing microservices, handling concurrent workloads, and developing robust backend architectures for production-scale applications.

🔥 Mandatory Skills :

Strong hands-on experience in Golang, Microservices Architecture, REST APIs, Concurrency (goroutines & channels), PostgreSQL/MySQL, Redis, Messaging Systems (Kafka/RabbitMQ/SQS), AWS/GCP, Docker & Kubernetes, and CI/CD pipelines.

🛠️ Key Responsibilities :

• Design, develop, and maintain scalable backend services using Golang.
• Build high-performance REST APIs and microservices.
• Develop concurrent and distributed systems using goroutines and channels.
• Implement event-driven and asynchronous architectures.
• Optimize system performance, latency, and database efficiency.
• Integrate messaging systems and caching layers for scalability.
• Collaborate with cross-functional teams for end-to-end delivery.
• Ensure high code quality, testing, and system reliability.
• Monitor, debug, and enhance production systems.

Required Skills & Qualifications :

• Strong hands-on experience in Golang (must-have).
• Solid understanding of Concurrency in Go (goroutines, channels, worker pools).
• Experience with Microservices Architecture.
• Strong knowledge of RESTful API development.
• Proficiency in Databases : PostgreSQL / MySQL / MongoDB.
• Hands-on experience with Redis (caching).
• Experience with Messaging Systems: Kafka / RabbitMQ / SQS.
• Hands-on experience with AWS or GCP.
• Experience with Docker & Kubernetes.
• Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, etc.).
• Strong understanding of Data Structures, Algorithms, and System Design.

Good to Have :

• Experience with gRPC-based microservices.
• Familiarity with monitoring tools like Prometheus, Grafana.
• Exposure to high-scale distributed systems.
• Experience with event-driven architectures.
• Knowledge of security practices (JWT, OAuth2, RBAC).

What We’re Looking For :

• Strong problem-solving and debugging skills.
• Ownership mindset with end-to-end feature delivery.
• Ability to write clean, efficient, and maintainable code.
• Comfortable working in a fast-paced, high-growth environment.

You can also register yourself on the below platform to proceed further :

https://hireinsecond.com/jobseeker-register

🧭 Tech Lead (Backend / Fullstack | 7–10 Years)

Location: Bangalore (On-Site, Hybrid)

Company Type: Public-Listed Product Company

We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Lead execution of mission-critical systems while staying hands-on — bridging architecture and delivery.

🧩 What You’ll Do

• Own end-to-end delivery of complex engineering initiatives (0→1, 1→N)
• Design systems across backend + frontend (if fullstack)
• Translate ambiguous problems into structured technical solutions
• Drive engineering best practices, code quality, and velocity
• Mentor engineers and elevate team performance
• Collaborate with stakeholders on roadmap and execution strategy

🧠 What We’re Looking For

• Strong experience in backend systems + optional frontend frameworks
• Proven ability to lead projects and deliver at scale
• Solid understanding of system design and architecture patterns
• Ability to balance speed vs quality vs scalability trade-offs
• Strong communication and leadership without authority
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Experience leading platform builds or major system rewrites
• Exposure to AI systems, LLM integrations, or intelligent workflows
• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Background: We Commonly See (But Not Limited To)

• Our team often includes engineers from top-tier institutions and strong research or product company or DeepTech or AI Product backgrounds, including:
• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Job Details

- Job Title: Director of Engineering

- Industry: SAAS

- Function – Information Technology

- Experience Required: 9-14 years

- Working Days: 6 days

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: TypeScript, AWS, NodeJS, mongodb, React.js, WebGL, Three.js, AI/ML, Docker,nKubernetes

Criteria

Candidate must be having 9+ years of engineering experience, with 3u20134 years in technical leadership

Hands-on expertise with React/Next.js, Node.js/Python, and AWS.

Ability to design scalable architectures for high-performance systems.

Should have AI/ML deployment experience

Strong 3D graphics/WebGL/Three.js knowledge.

Candidates should be from SAAS/Software/IT Services based startups or scaleup companies only

Job Description

The Role:

Company is hiring a hands-on Director of Engineering who codes, architects systems, and builds teams. You’ll set the technical foundation, drive engineering excellence, and own the architecture of our AI, 3D, and XR platform.

This is not a pure management role - expect to spend 50–60% of your time writing code, solving deep technical problems, and owning mission-critical systems. As we scale, this role transitions into CTO, taking full ownership of technical vision and long-term strategy. 

What You’ll Own:

1. Technical Leadership & Architecture

● Architect company’s full-stack platform across frontend, backend, infrastructure, and AI.

● Scale core systems: VersaAI engine, rendering pipeline, AR deployment, analytics.

● Make decisions on stack, scalability patterns, architecture, and technical debt.

● Own design for high-performance 3D asset processing, real-time rendering, and ML deployment.

● Lead architectural discussions, design reviews, and set engineering standards.

2. Hands-On Development

● Write production-grade code across frontend, backend, APIs, and cloud infra.

● Build critical features and core system components independently.

● Debug complex systems and optimize performance end-to-end.

● Implement and optimize AI/ML pipelines for 3D generation, CV, and recognition.

● Build scalable backend services for large-scale asset processing and real-time pipelines.

● Develop WebGL/Three.js rendering and AR workflows.

3. Team Building & Engineering Management

● Hire and grow a team of 5–8 engineers initially (scaling to 15–20).

● Establish engineering culture, values, and best practices.

● Build career frameworks, performance systems, and growth plans.

● Conduct 1:1s, mentor engineers, and drive continuous improvement.

● Set up processes for agile execution, deployments, and incident response.

4. Product & Cross-Functional Collaboration

● Work with the founder and product team on roadmap, feasibility, and prioritization.

● Translate product requirements into technical execution plans.

● Collaborate with design for UX quality and technical alignment.

● Support sales and customer success with integrations and technical discussions.

● Contribute technical inputs to product strategy and customer-facing initiatives.

5. Engineering Operations & Infrastructure

● Own CI/CD, testing frameworks, deployments, and automation.

● Create monitoring, logging, and alerting setups for reliability.

● Manage AWS infrastructure with a focus on cost and performance.

● Build internal tools, documentation, and developer workflows.

● Ensure enterprise-grade security, compliance, and reliability.

Tech Stack:

1. Frontend

React.js, Next.js, TypeScript, WebGL, Three.js

2. Backend

Node.js, Python, Express/FastAPI, REST, GraphQL

3. AI/ML

PyTorch, TensorFlow, CV models, Stable Diffusion, LLMs, ML pipelines

4. 3D & Graphics

Three.js, WebGL, Babylon.js, glTF, USDZ, rendering optimization

5. Databases

PostgreSQL, MongoDB, Redis, vector databases

6. Cloud & Infra

AWS (EC2, S3, Lambda, SageMaker), Docker, Kubernetes CI/CD: GitHub Actions

Monitoring: Datadog, Sentry

What We’re Looking For:

1. Must-Haves

● 9+ years of engineering experience, with 3–4 years in technical leadership.

● Deep full-stack experience with strong system design fundamentals.

● Proven success building products from 0→1 in fast-paced environments.

● Hands-on expertise with React/Next.js, Node.js/Python, and AWS.

● Ability to design scalable architectures for high-performance systems.

● Strong people leadership with experience hiring and mentoring teams.

● Ready to code, review, design, and lead from the front.

● Startup mindset: fast execution, problem-solving, ownership.

2. Highly Desirable

● AI/ML deployment experience (CV, generative AI, 3D reconstruction).

● Strong 3D graphics/WebGL/Three.js knowledge.

● Experience with real-time systems, rendering optimizations, or large-scale pipelines.

● Background in B2B SaaS, XR, gaming, or immersive tech.

● Experience scaling engineering teams from 5 → 20+.

● Open-source contributions or technical content creation.

● Experience working closely with founders or executive leadership.

Why Company:

● Hard, meaningful engineering problems at the intersection of AI, 3D, XR, and web tech.

● Build from day zero – architecture, team, and culture.

● Path to CTO as the company scales.

● High autonomy to drive technical decisions.

● Direct founder collaboration on product vision.

● High ownership, high-growth environment.

● Backed by global leaders: Microsoft, Google, NVIDIA, AWS.

Location & Work Culture:

● Location: HSR Layout, Bengaluru

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

● Culture: High-intensity, high-integrity, engineering-first

● Team: Young, ambitious, technically strong

Job Title : Senior Full Stack Developer (Dashboard Applications)

Experience : 7+ Years

Location : Gurgaon (Mandatory)

Duration : 6 to 9 Months Contract (Initial 6 Months Commitment Mandatory)

Start Date : 1st April (Immediate Joiners Preferred)

Work Mode : Hybrid (Work From Home + 1 Day/Week at Home Office in Gurgaon)

Work Schedule : 45 Hours/Week + Mandatory Weekend Availability (Saturday & Sunday)

About the Role :

We are hiring a highly skilled Full Stack Developer based out of Gurgaon to work directly with the leadership team of a Cybersecurity Product Company.

This role focuses on building advanced, high-performance dashboard applications to significantly enhance the company’s product capabilities.

This is a high-ownership, high-impact role, where the selected candidate will work closely with the founder/leadership and contribute directly to core product innovation.

Mandatory Skills :

React + TypeScript, Dashboard/Data Visualization (ECharts/D3.js), Node.js (Fastify), Kafka (real-time streaming), ClickHouse, PostgreSQL, Redis, Microservices Architecture, Performance Optimization, Gurgaon-based candidate with 7+ years experience.

Important Note (Strict Requirements) :

• Candidate must be based in Gurgaon (No remote-only candidates)
• Must be comfortable working on weekends (Sat & Sun)
• Must commit to minimum 6 months
• Must be available for in-person collaboration (1 day/week at home office)
• No compromise on the above requirements

Key Responsibilities :

• Design and develop scalable, real-time dashboard applications
• Build data visualization systems using modern frontend frameworks
• Work on end-to-end full stack development (UI to backend APIs)
• Integrate large-scale data pipelines and streaming systems
• Optimize dashboards for performance, usability, and responsiveness
• Collaborate directly with leadership to translate business needs into technical solutions
• Contribute to architecture decisions and system design

Required Technical Skills :

Frontend :

• React.js (18+)
• TypeScript
• TailwindCSS
• State Management (Zustand / TanStack Query)
• Data Visualization:
• Apache ECharts
• D3.js
• Leaflet.js (Maps)

Backend :

• Node.js (20 LTS)
• Fastify (preferred)
• REST API Development
• Prisma ORM

Data & Streaming :

• Apache Kafka / KafkaJS
• Apache Flink (or Kafka Streams)

Databases :

• ClickHouse (must have for analytics use cases)
• PostgreSQL
• Redis

Good to Have :

• Graph DB (Neo4j)
• Object Storage (MinIO)

Machine Learning (Nice to Have) :

• Python (FastAPI)
• Basic experience with:
• scikit-learn
• pandas / numpy
• Understanding of anomaly detection systems

DevOps & Infrastructure :

• Docker & Kubernetes
• Terraform
• Nginx
• Monitoring: Prometheus, Grafana
• Observability: OpenTelemetry
• Authentication: Keycloak / JWT

Testing & Quality :

• Unit & Integration Testing:
• Vitest / Jest
• Supertest
• E2E Testing:
• Playwright
• Performance Testing:
• k6

What We’re Looking For :

• Strong experience in building complex dashboards or analytics platforms
• Ability to work independently as a single contributor
• High ownership and accountability mindset
• Strong problem-solving and system design skills
• Someone who is practical, execution-focused, and reliable

Why Join :

• Direct collaboration with leadership
• Opportunity to build cutting-edge cybersecurity dashboards
• High-impact role with end-to-end ownership
• Flexible work setup (with meaningful in-person collaboration)

About the Role

We’re looking for an Elixir Developer who is passionate about building scalable, high performance backend systems. You’ll work closely with our engineering team to design, develop, and maintain reliable applications that power mission-critical systems.

Key Responsibilities

• Develop and maintain backend services using Elixir and Phoenix framework.

• Build scalable, fault-tolerant, and distributed systems.

• Integrate APIs, databases, and message queues for real-time applications.

• Optimize system performance and ensure low latency and high throughput.

• Collaborate with frontend, DevOps, and product teams to deliver seamless solutions.

• Write clean, maintainable, and testable code with proper documentation.

• Participate in code reviews, architectural discussions, and deployment automation.

Required Skills & Experience

• 2–4 years of hands-on experience in Elixir (or strong functional programming background).

• Experience with Phoenix, Ecto, and RESTful API development.

• Solid understanding of OTP (Open Telecom Platform) concepts like GenServer, Supervisors, etc.

• Proficiency in PostgreSQL, Redis, or similar databases.

• Familiarity with Docker, Kubernetes, or cloud platforms (AWS/GCP/Azure).

• Understanding of CI/CD pipelines, version control (Git), and agile development.

Good to Have

• Experience with microservices architecture or real-time data systems.

• Knowledge of GraphQL, LiveView, or PubSub.

• Exposure to performance profiling, observability, or monitoring tools.

Why Join Us?

• Work with a team that expects and delivers excellence.

• A culture where risk-taking is rewarded, and complacency is not.

• Limitless opportunities for growth—if you can handle the pace.

• A place where learning is currency, and outperformance is the only metric that matters.

• The opportunity to build systems that move markets, execute trades in microseconds, and redefine

fintech.

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

Job Description – Backend Python Developer(Mid-Level) 

📍 Location: Mumbai/Gurgaon |  Full-time

Backend Python Developer

Role Overview

We are seeking a skilled Backend Python Developer to design, develop, and maintain backend services, APIs, and integrations that power our AI-driven automation solutions.

You will collaborate closely with senior engineers, AI/ML teams, and frontend developers to build scalable, high-performance systems. This role is ideal for professionals with solid backend experience who are eager to deepen their expertise in Python, cloud technologies, and AI-based applications.

Key Responsibilities

• Develop and maintain backend APIs, services, and system integrations using Python
• Collaborate on system design and architecture discussions with senior engineers
• Write clean, scalable, and well-documented code following best practices
• Ensure performance, scalability, and reliability in cloud environments
• Design and manage SQL/NoSQL databases for structured and unstructured data
• Support integration of AI/ML models into production workflows
• Participate in code reviews, unit testing, and debugging
• Contribute to CI/CD pipelines, containerization, and DevOps processes

Required Skills & Qualifications

• 3–5 years of experience in backend development
• Strong proficiency in Python
• Hands-on experience with frameworks such as FastAPI, Flask, or Django
• Experience building and consuming REST APIs (GraphQL is a plus)
• Strong database knowledge: PostgreSQL, MySQL, MongoDB, or Redis
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Hands-on experience with Docker and Kubernetes
• Strong understanding of OOP, data structures, algorithms, and design patterns

Preferred Skills

• Exposure to AI/ML workflows or a strong interest in learning
• Experience with message brokers such as Kafka, RabbitMQ, or Celery
• Knowledge of asynchronous programming (asyncio, Celery, etc.)
• Experience with unit testing frameworks (PyTest, unittest)
• Understanding of API security and authentication (OAuth2, JWT)

What We Offer

• Competitive compensation with growth opportunities
• Opportunity to work on AI-first automation products used globally
• Mentorship from experienced senior engineers
• Flexible work environment
• Continuous learning support in Python, Cloud, and AI/Automation technologies

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 DevOps Engineer

- Industry: Consumer Internet, Technology & Travel and Tourism Platform

- Function - IT

- Experience Required: 7-10 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Criteria:

• Strong Lead DevOps / Infrastructure Engineer Profiles.
• Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
• Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
• Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
• Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
• Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
• Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
• Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
• Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
• (Company) – Must be from B2C Product Companies only.
• (Education) – B.E/ B.Tech

Preferred

• Experience working in microservices architecture and event-driven systems.
• Exposure to cloud infrastructure, scalability, reliability, and cost optimization practices.
• (Skills) – Understanding of programming languages such as Go, Python, or Java.
• (Environment) – Experience working in high-growth startup or large-scale production environments.

Job Description 

As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

• Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
• Codify our infrastructure
• Do what it takes to keep the uptime above 99.99%
• Understand the bigger picture and sail through the ambiguities
• Scale technology considering cost and observability and manage end-to-end processes
• Understand DevOps philosophy and evangelize the principles across the organization
• Strong communication and collaboration skills to break down the silos

Job Details

- Job Title: Senior DevOps Engineer

- Industry: Consumer Internet, Technology & Travel and Tourism Platform

- Function - IT

- Experience Required: 4-7 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Criteria:

• Strong DevOps / Infrastructure Engineer Profiles.
• Must have 4+ years of hands-on experience working as a DevOps Engineer / Infrastructure Engineer / SRE / DevOps Consultant.
• Must have hands-on experience with Kubernetes and Docker, including deployment, scaling, or containerized application management.
• Must have experience with Infrastructure as Code (IaC) or configuration management tools such as Terraform, Ansible, Chef, or Puppet.
• Must have strong automation and scripting experience using Python, Go, Bash, Shell, or similar scripting languages.
• Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Kafka.
• Candidate must demonstrate strong expertise in at least one of the following areas - Databases / Distributed Data Systems, Observability & Monitoring, CI/CD Pipelines. Networking Concepts, Kubernetes / Container Platforms
• Candidates must be from B2C Product-based companies only.
• (Education) – BE / B.Tech or equivalent

Preferred

• Experience working with microservices or event-driven architectures.
• Exposure to cloud infrastructure, monitoring, reliability, and scalability practices.
• (Skills) – Understanding of programming languages such as Go, Python, or Java.
• Preferred (Environment) – Experience working in high-scale production or fast-growing product startups.

Job Description 

As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

• Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
• Codify our infrastructure
• Do what it takes to keep the uptime above 99.99%
• Understand the bigger picture and sail through the ambiguities
• Scale technology considering cost and observability and manage end-to-end processes
• Understand DevOps philosophy and evangelize the principles across the organization
• Strong communication and collaboration skills to break down the silos

🚀 Job Title : Backend Engineer (Go / Python / Java)

Experience : 3+ Years

Location : Bangalore (Client Location – Work From Office)

Notice Period : Immediate to 15 Days

Open Positions : 4

Working Days : 6 Days a Week

🧠 Job Summary :

We are looking for a highly skilled Backend Engineer to build scalable, reliable, and high-performance systems in a fast-paced product environment.

You will own large features end-to-end — from design and development to deployment and monitoring — while collaborating closely with product, frontend, and infrastructure teams.

This role requires strong backend fundamentals, distributed systems exposure, and a mindset of operational ownership.

⭐ Mandatory Skills :

Strong backend development experience in Go / Python (FastAPI) / Java (Spring Boot) with hands-on expertise in Microservices, REST APIs, PostgreSQL, Redis, Kafka/SQS, AWS/GCP, Docker, Kubernetes, CI/CD, and strong DSA & System Design fundamentals.

🔧 Key Responsibilities :

• Design, develop, test, and deploy backend services end-to-end.
• Build scalable, modular, and production-grade microservices.
• Develop and maintain RESTful APIs.
• Architect reliable distributed systems with performance and fault tolerance in mind.
• Debug complex cross-system production issues.
• Implement secure development practices (authentication, authorization, data integrity).
• Work with monitoring dashboards, alerts, and performance metrics.
• Participate in code reviews and enforce engineering best practices.
• Contribute to CI/CD pipelines and release processes.
• Collaborate with product, frontend, and DevOps teams.

✅ Required Skills :

• Strong proficiency in Go OR Python (FastAPI) OR Java (Spring Boot).
• Hands-on experience building Microservices-based architectures.
• Strong understanding of REST APIs & distributed systems.
• Experience with PostgreSQL and Redis.
• Exposure to Kafka / SQS or other messaging systems.
• Hands-on experience with AWS or GCP.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD pipelines.
• Strong knowledge of Data Structures & System Design.
• Ability to independently own features and solve ambiguous engineering problems.