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We are looking for a DevOps Engineer with hands-on experience in managing production infrastructure using AWS, Kubernetes, and Terraform. The ideal candidate will have exposure to CI/CD tools and queueing systems, along with a strong ability to automate and optimize workflows.

Responsibilities: 

* Manage and optimize production infrastructure on AWS, ensuring scalability and reliability.

* Deploy and orchestrate containerized applications using Kubernetes.

* Implement and maintain infrastructure as code (IaC) using Terraform.

* Set up and manage CI/CD pipelines using tools like Jenkins or Chef to streamline deployment processes.

* Troubleshoot and resolve infrastructure issues to ensure high availability and performance.

* Collaborate with cross-functional teams to define technical requirements and deliver solutions.

* Nice-to-have: Manage queueing systems like Amazon SQS, Kafka, or RabbitMQ.

Requirements: 

* 4+ years of experience with AWS, including practical exposure to its services in production environments.

* Demonstrated expertise in Kubernetes for container orchestration.

* Proficiency in using Terraform for managing infrastructure as code.

* Exposure to at least one CI/CD tool, such as Jenkins or Chef.

* Nice-to-have: Experience managing queueing systems like SQS, Kafka, or RabbitMQ.

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.

About Us:

REConnect Energy’s GRIDConnect platform helps integrate and manage energy generation and consumption for 1000s of renewable energy assets and grid operators. We are currently serving customers across India, Bhutan and the Middle East with expansion planned in US and European markets.

We are headquartered in Central Bangalore with a team of 150+ and growing. You will join the Bangalore based Engineering team as a senior member and work at the intersection of Energy, Weather & Climate Sciences and AI. 

Responsibilities:

● Engineering - Take complete ownership of engineering stacks. Define and maintain software systems architecture for high availability 24x7 systems.

● Leadership - Lead a team of engineers and analysts managing engineering development as well as round the clock service delivery. Provide mentorship and technical guidance to team members and contribute towards their professional growth. Manage weekly and monthly reviews with team members and senior management.

● Product Development - Contribute towards new product development through engineering solutions to product requirements. Interact with cross-functional teams to bring forward a technology perspective.

● Operations - Manage delivery of critical services to power utilities with expectations of zero downtime. Take ownership for uninterrupted product uptime. 

Requirements:

● Bachelor's or Master’s degree in Computer Science, Software Engineering, Electrical Engineering or equivalent

● Proficient in python programming along with Frameworks like Django/Fast Api/Flask and Java frameworks like Spring, Hibernate, SpringBoot, etc

● Debug and resolve technical issues that arise during the development or after deployment at various stages.

● Experience in databases including MySQL and NoSQL

● Experience in designing, developing and maintaining high availability systems.

● Experience in MVC pattern, Tomcat, Git, and Jira.

● Experience working with AWS cloud platform.

● 4-5 years of experience building highly available systems

● 2-3 years experience leading a team of engineers and analysts

● Strong analytical and data driven approach to problem solving

 Company Overview:

     Planview has one mission: to build the future of connected work with market-leading portfolio management and work management solutions. Planview is a recognized innovator and industry leader, our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Our solutions span every class of work, resource, and organization to address the varying needs of diverse and distributed teams, departments, and enterprises.

As a Sr CloudOps Engineer II, you will oversee teams of Engineers and be a champion for configuration management, technologies in the cloud, and continuous improvement. You will work closely with global leaders to ensure that our applications, infrastructure, and processes are scalable, secure, and supportable. By leveraging your production experience and development skills you will work hand in hand with Engineers (Dev, DevOps, DBOps) to design and implement solutions that improve delivery of value to customers, reduce costs, and eliminate toil.

     Responsibilities (What you will do):

•      Guide the professional development of Engineers and support the teams to accomplish business goals
• Work closely with leaders in the Israel to align on priorities and architect, deliver, and manage our products
• Build systems that are secure, scalable, and self-healing.
• Manage and improve deployment pipelines.
• Triage and remediate production issues.
• Participate in on-call rotations for escalations.

Qualifications (What you will bring):

•      Bachelor's degree is CS or equivalent experience in related field.
• 2+ years managing Engineering teams.
• 8+ years of experience as a site reliability or platform engineer, preferably in a fast-scaling environment
• 5+ years administering Linux and Windows environments.
• 3+ years programming / scripting experience (e.g., Python, JavaScript, PowerShell)
• Strong technical knowledge in OS’s (Linux and Windows), virtualizations, storage systems, networking, and firewall implementations
• Maintaining production environments in the On Premise (90%) and Cloud (10%) (e.g., AWS, Google Cloud, Azure)
• Solid understanding of networking principles and how it applies to data flow and security.
• Automating deployments of cloud based available services (e.g., AWS EC2 / RDS, Docker, Kubernetes)
• Experience managing CI/CD infrastructures, with a strong proficiency in platforms like bitbucket and Jenkins to streamline deployment pipelines and ensure efficient software delivery.
• Management of resources using Infrastructure as Code tools (e.g., CloudFormation, Terraform, Chef)
• Knowledge of observability tools such as LogicMonitor, New Relic, Prometheus, and Coralogix, as well as their implementation.
• Worked within Agile and Lean software development teams.
• Experience working in globally distributed teams.
• Ability to look on the big picture and manage risks.

Advanced Software Architect

Position Responsibilities :

• Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards.
• Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.
• Design, build, and maintain services using Python, Java, and Node.js, following clean-code and secure design principles.
• Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.
• Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.
• Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.
• Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.
• Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
• Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.
• Champion best practices in security, automation, and performance optimization across the organization.

Qualifications :

• 8+ years in software engineering with full-stack or backend development in Python, Java, and/or Node.js.
• 3+ years with AI tools for development, prototyping, or documentation tasks.
• Experience with cloud-native development and containerized deployment (Docker, Kubernetes).
• Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.
• Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.
• Comfortable with Gen AI-first environments and working with remote Agile teams.

Preferred Qualifications

• Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.
• Experience working in a fast-paced, AIDLC environment, with a strong understanding of CI/CD practices.
• Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools.
• Containerization and Orchestration: Proficiency in Docker and Kubernetes for containerization and orchestration.
• Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud.

We are seeking a skilled and passionate ML Engineer with 3+ years of experience to join our team. The ideal candidate will be instrumental in developing, deploying, and maintaining machine learning models, with a strong focus on MLOps practices.

This role requires hands-on experience with Azure cloud services, Databricks, and MLflow to build robust and scalable ML solutions.

Responsibilities

• Design, develop, and implement machine learning models and algorithms to solve complex business problems.
• Collaborate with data scientists to transition models from research and development into production-ready systems.
• Build and maintain scalable data pipelines for ML model training and inference using Databricks.
• Implement and manage the ML model lifecycle using MLflow, including experiment tracking, model versioning, and model registry.
• Deploy and manage ML models in production environments on Azure, leveraging services such as:
• Azure Machine Learning
• Azure Kubernetes Service (AKS)
• Azure Functions
• Support MLOps workloads by automating model training, evaluation, deployment, and monitoring processes.
• Ensure the reliability, performance, and scalability of ML systems in production.
• Monitor model performance, detect model drift, and implement retraining strategies.
• Collaborate with DevOps and Data Engineering teams to integrate ML solutions into existing infrastructure and CI/CD pipelines.
• Document model architecture, data flows, and operational procedures.

Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field.

Experience

• Minimum 3+ years of professional experience as an ML Engineer or in a similar role.

Required Skills

• Strong proficiency in Python for data manipulation, machine learning, and scripting.
• Hands-on experience with machine learning frameworks, such as:
• Scikit-learn
• TensorFlow
• PyTorch
• Keras
• Demonstrated experience with MLflow for:
• Experiment tracking
• Model management
• Model deployment
• Proven experience working with Microsoft Azure cloud services, specifically:
• Azure Machine Learning
• Azure Databricks
• Related compute and storage services
• Solid experience with Databricks for:
• Data processing
• ETL pipelines
• ML model development
• Strong understanding of MLOps principles and practices, including:
• CI/CD for ML
• Model versioning
• Model monitoring
• Model retraining
• Experience with containerization and orchestration technologies, including:
• Docker
• Kubernetes (especially AKS)
• Familiarity with SQL and data warehousing concepts.
• Experience working with large datasets and distributed computing frameworks.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Nice-to-Have Skills

• Experience with other cloud platforms (AWS or GCP).
• Knowledge of big data technologies such as Apache Spark.
• Experience with Azure DevOps for CI/CD pipelines.
• Familiarity with real-time inference patterns and streaming data.
• Understanding of Responsible AI principles, including fairness, explainability, and privacy.

Certifications (Preferred)

• Microsoft Certified: Azure AI Engineer Associate
• Databricks Certified Machine Learning Associate (or higher) 

🚨 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

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• 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
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

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

• 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

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

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

Experience building scalable systems from scratch

Expert-level proficiency in Node.js

Deep understanding of distributed systems

Strong NoSQL design skills

Hands-on AWS cloud experience

Proven leadership and mentoring capability

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

Job Details

- Job Title: Full Stack Engineer

- Industry: SAAS

- Function – Information Technology

- Experience Required: 5-7 years

- Working Days: 6 days

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: TypeScript, NodeJS, mongodb, RESTful APIs, React.js

Criteria

Candidate should have at least 4+ years of professional experience as a Full Stack Engineer

Hands-on experience with both React.js and Node.js

Solid understanding of MongoDB

Should have experience in RESTful APIs

Should be from a startup or scale up companies

Should have good experience in Typescript

Strong understanding of asynchronous programming patterns

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

Job Description

The Role:

We’re looking for a Full Stack Engineer to build, scale, and maintain high-performance web applications for company’s technology platforms. This role involves working across the stack-frontend, backend, and infrastructure - using modern JavaScript-based technologies.

You’ll collaborate closely with product managers, designers, and cross-functional engineering teams to deliver scalable, secure, and user-centric solutions. This role is ideal for someone who enjoys end-to-end ownership, technical problem-solving, and working in a fast-paced startup environment.

What You’ll Own

1. Full Stack Development

● Design, develop, test, and deploy robust and scalable web applications.

● Build and maintain server-side logic and microservices using Node.js, Express.js, and TypeScript.

● Contribute to frontend feature development and integration.

● Participate in feature planning, estimation, and execution.

2. Backend & API Engineering

● Design and develop RESTful APIs and backend services.

● Implement asynchronous workflows and scalable microservice architectures.

● Ensure performance, reliability, and security of backend systems.

● Implement authentication, authorization, and data protection best practices.

3. Database Design & Optimization

● Design and manage MongoDB schemas using Mongoose.

● Optimize queries and database performance for scale.

● Ensure data integrity and efficient data access patterns.

4. Frontend Collaboration & Integration

● Collaborate with frontend developers to integrate React components and APIs seamlessly.

● Ensure responsive, high-performing application behavior.

5. System Design & Scalability

● Contribute to system architecture and technical design discussions.

● Design scalable, maintainable, and future-ready solutions.

● Optimize applications for speed and scalability.

6. Product & Cross-Functional Collaboration

● Work closely with product and design teams to deliver high-quality features in rapid iterations.

● Participate in the full development lifecycle—from concept to deployment and maintenance.

7. Code Quality & Best Practices

● Write clean, testable, and maintainable code.

● Follow Git-based version control and code review best practices.

● Contribute to improving engineering standards and workflows.

What We’re Looking For

Must-Haves

● 4+ years of professional experience as a Full Stack Engineer or similar role.

● Strong proficiency in JavaScript and TypeScript.

● Hands-on experience with Node.js and Express.js.

● Solid understanding of MongoDB and Mongoose.

● Experience building and consuming RESTful APIs and microservices.

● Strong understanding of asynchronous programming patterns.

● Good grasp of system design principles and application architecture.

● Experience with Git and version control best practices.

● Bachelor’s degree in Computer Science, Engineering, or a related field.

Good-to-Have / Preferred

● Frontend development experience with React.js.

● Exposure to Three.js or similar 3D/visualization libraries.

● Experience with cloud platforms (AWS, GCP, Azure – EC2, S3, Lambda).

● Knowledge of Docker and containerization workflows.

● Experience with testing frameworks (Jest, Mocha, etc.).

● Familiarity with CI/CD pipelines and automated deployments.

Tools You’ll Use

● Backend: Node.js, Express.js, TypeScript

● Frontend: React.js (preferred)

● Database: MongoDB, Mongoose

● Version Control: Git, GitHub / GitLab

● Cloud & DevOps: AWS / GCP / Azure, Docker

● Collaboration: Google Workspace, Notion, Slack

Key Metrics You’ll Own

● Code quality, performance, and scalability

● Timely delivery of features and releases

● System reliability and reduction in production issues

● Contribution to architectural improvements

Why company

● Work on impactful, product-driven tech platforms.

● High-ownership role with end-to-end engineering exposure.

● Opportunity to work with modern technologies and evolving architectures.

● Collaborative startup culture with strong learning and growth opportunities.

Job Details

- Job Title: Senior Backend Engineer

- Industry: SAAS

- Function – Information Technology

- Experience Required: 5-8 years

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

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: AWS, NodeJS, RESTful APIs, NoSQL

Criteria

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

· Experience building scalable systems from scratch

· Expert-level proficiency in Node.js

· Deep understanding of distributed systems

· Strong NoSQL design skills

· Hands-on AWS cloud experience

· Proven leadership and mentoring capability

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

Job Description

The Role:

What You’ll Build:

1. System Architecture & Design

● Architect highly scalable backend systems from the ground up

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

● Evaluate microservices vs monoliths based on product stage

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

● Build event-driven systems for asynchronous processing

● Architect multi-tenant systems with strict data isolation

● Maintain architectural documentation and technical specs

2. Core Backend Services

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

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

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

● Build authentication/authorization systems (RBAC)

● Implement billing, subscription, and usage metering

● Build secure webhook systems and third-party integration APIs

● Create real-time collaboration features via WebSockets/SSE

3. Data Architecture & Databases

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

● Model complex product catalogs with variants and hierarchies

● Implement Redis-based caching strategies

● Build search and indexing systems (Elasticsearch/Algolia)

● Architect ETL pipelines and data warehouses

● Implement sharding, partitioning, and replication strategies

● Design backup, restore, and disaster recovery workflows

4. Scalability & Performance

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

● Implement load balancing, autoscaling, and distributed processing

● Optimize API response times and database performance

● Implement global CDN delivery for heavy 3D assets

● Build rate limiting, throttling, and backpressure mechanisms

● Optimize storage and retrieval of large 3D files

● Profile and improve CPU, memory, and network performance

5. Infrastructure & DevOps

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

● Build CI/CD pipelines for automated deployments and rollbacks

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

● Set up monitoring, logging, and alerting systems

● Use Docker + Kubernetes for container orchestration

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

● Define disaster recovery and business continuity plans

6. Integration & APIs

● Build integrations with Shopify, WooCommerce, Magento

● Design webhook systems for real-time events

● Build SDKs, client libraries, and developer tools

● Integrate payment gateways (Stripe, Razorpay)

● Implement SSO and OAuth for enterprise customers

● Define API versioning and lifecycle/deprecation strategies

7. Data Processing & Analytics

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

● Process high-volume event streams at scale

● Build data warehouses for BI and reporting

● Develop real-time dashboards and insights systems

● Implement analytics export pipelines and platform integrations

● Enable A/B testing and experimentation frameworks

● Build personalization and recommendation systems

Technical Stack:

1. Backend Languages & Frameworks 

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

●  Secondary: Go, Java/Kotlin (Spring)

●  APIs: REST, GraphQL, gRPC

2. Databases & Storage

● SQL: PostgreSQL, MySQL

● NoSQL: MongoDB, DynamoDB

● Caching: Redis, Memcached

● Search: Elasticsearch, Algolia

● Storage/CDN: AWS S3, CloudFront

● Queues: Kafka, RabbitMQ, AWS SQS

3. Cloud & Infrastructure: 

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

● Compute: EC2, Lambda, ECS, EKS

● Infrastructure: Terraform, CloudFormation

● CI/CD: GitHub Actions, Jenkins, CircleCI

● Containers: Docker, Kubernetes

4. Monitoring & Operations 

● Monitoring: Datadog, New Relic, CloudWatch

● Logging: ELK Stack, CloudWatch Logs

● Error Tracking: Sentry, Rollbar

● APM tools

5. Security & Auth

● Auth: JWT, OAuth 2.0, SAML

● Secrets: AWS Secrets Manager, Vault

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

What We’re Looking For:

1. Must-Haves

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

● Experience building scalable systems from scratch

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

● Deep understanding of distributed systems and microservices

● Strong SQL/NoSQL design skills with performance optimization

● Hands-on AWS cloud experience

● Ability to write high-quality production code daily

● Experience building and scaling RESTful APIs

● Strong understanding of caching, sharding, horizontal scaling

● Solid security and best-practice implementation experience

● Proven leadership and mentoring capability

2. Highly Desirable

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

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

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

● Knowledge of ML/AI infrastructure

● Experience with HA systems, DR planning

● Familiarity with GraphQL, gRPC, event-driven systems

● DevOps/infrastructure engineering background

● Experience with XR/AR/VR backend systems

● Open-source contributions or technical writing

● Prior senior technical leadership experience

Technical Challenges You’ll Solve:

● Designing large-scale 3D asset processing pipelines

● Serving XR content globally with ultra-low latency

● Scaling from thousands to millions of daily requests

● Efficiently handling CPU/GPU-heavy workloads

● Architecting multi-tenancy with complete data isolation

● Managing billions of analytics events at scale

● Building future-proof APIs with backward compatibility

Why company:

● Architectural Ownership: Build foundational systems from scratch

● Deep Technical Work: Solve distributed systems and scaling challenges

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

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

● Massive Scale Opportunity: Build systems for exponential growth

● Modern Stack and best practices

● Product Impact: Your architecture directly powers millions of users

● Leadership Opportunity: Shape engineering culture and direction

● Learning Environment: Stay at the forefront of backend engineering

● Backed by AWS, Microsoft, Google

Location & Work Culture:

● Location: Bengaluru

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

● Culture: Builder mindset, strong ownership, technical excellence

● Team: Small, highly skilled backend and infra team

● Resources: AWS credits, latest tooling, learning budget

About Us

Euphoric Thought Technologies is a fast-growing technology company focused on delivering scalable, high-performance digital solutions. We are looking for a skilled Backend Developer to join our dynamic team and contribute to building robust and efficient systems.

Key Responsibilities

 Design, develop, and maintain scalable backend services and APIs

 Write clean, maintainable, and efficient code

 Collaborate with frontend developers, DevOps, and product teams

 Optimize applications for maximum speed and scalability

 Troubleshoot, debug, and upgrade existing systems

 Implement security and data protection best practices

 Participate in code reviews and technical discussions

Required Skills & Qualifications

 4–5 years of hands-on experience in backend development

 Strong proficiency in at least one backend language such as Java and Core Java

 Experience with frameworks like Spring Boot, Django, Express.js, etc.

 Good understanding of RESTful APIs and Microservices architecture

 Strong experience with databases (MySQL, PostgreSQL, MongoDB)

 Familiarity with version control systems (Git)

 Experience with cloud platforms (AWS/Azure/GCP) is a plus

 Knowledge of Docker, Kubernetes, CI/CD pipelines is an added advantage

 Strong problem-solving and analytical skills

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

About the Role

We are looking for an experienced Senior Backend Developer to design and build scalable, secure, and high-performance backend systems. The ideal candidate will have deep expertise in Python/Django, microservices architecture, and cloud technologies, along with strong problem-solving skills and leadership capabilities.

Key Responsibilities

•Design and develop backend services using Django and Python.

•Architect and implement microservices-based solutions for scalability and maintainability.

•Work with PostgreSQL and Redis for efficient data storage and caching.

•Build and maintain RESTful APIs and ensure robust API design principles.

•Implement system design best practices for high availability and fault tolerance.

•Containerize applications using Docker and manage deployments with Kubernetes.

•Integrate with cloud platforms (AWS/Azure) for hosting and infrastructure management.

•Apply security best practices to protect data and application integrity.

•Collaborate with frontend, QA, and DevOps teams for seamless delivery.

•Mentor junior developers and conduct code reviews to maintain quality standards.

Required Skills & Expertise

•Django/Python – Advanced proficiency in backend development.

•Microservices Architecture – Strong understanding of distributed systems.

•PostgreSQL & Redis – Expertise in relational and in-memory databases.

•Docker/Kubernetes – Hands-on experience with containerization and orchestration.

•API Design & System Design – Ability to design scalable and secure systems.

•Cloud (AWS/Azure) – Practical experience with cloud services and deployments.

•Security Best Practices – Knowledge of authentication, authorization, and data protection.

Preferred Qualifications

•Experience with CI/CD pipelines and DevOps practices.

•Familiarity with message queues (e.g., RabbitMQ, Kafka).

•Exposure to monitoring tools (Prometheus, Grafana).

What We Offer

•Competitive salary and benefits.

•Opportunity to work on cutting-edge backend technologies.

•Collaborative and growth-oriented work environment.

About Us:

REConnect Energy’s GRIDConnect platform helps integrate and manage energy generation and consumption for 1000s of renewable energy assets and grid operators. We are currently serving customers across India, Bhutan and the Middle East with expansion planned in US and European markets.

We are headquartered in Central Bangalore with a team of 150+ and growing. You will join the Bangalore based Engineering team as a senior member and work at the intersection of Energy, Weather & Climate Sciences and AI. 

Responsibilities:

● Engineering - Take complete ownership of engineering stacks including Data Engineering and MLOps. Define and maintain software systems architecture for high availability 24x7 systems.

● Leadership - Lead a team of engineers and analysts managing engineering development as well as round the clock service delivery. Provide mentorship and technical guidance to team members and contribute towards their professional growth. Manage weekly and monthly reviews with team members and senior management.

● Product Development - Contribute towards new product development through engineering solutions to product requirements. Interact with cross-functional teams to bring forward a technology perspective.

● Operations - Manage delivery of critical services to power utilities with expectations of zero downtime. Take ownership for uninterrupted product uptime. 

Requirements:

● 4-5 years of experience building highly available systems

● 2-3 years experience leading a team of engineers and analysts

● Bachelors or Master’s degree in Computer Science, Software Engineering, Electrical Engineering or equivalent

● Proficient in python programming skills and expertise with data engineering and machine learning deployment

● Experience in databases including MySQL and NoSQL

● Experience in developing and maintaining critical and high availability systems will be given strong preference

● Experience in software design using design principles and architectural modeling.

● Experience working with AWS cloud platform.

● Strong analytical and data driven approach to problem solving 

Description:

Experience in backend development with a strong focus on Java, Microservices and Java Migration

Java Microservices Back end Developer, Angular UI experience

Java Sprint boot Microservices with expected knowledge and Basic knowledge of Database.

Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST

Drive analysis of business requirements, functional requirements, and technical specification documents to design

and develop technical solutions that meet business needs

Assess opportunities for application and process improvement and obtain broader buy-in across global stakeholders

Pro-actively share and report risks, issues, challenges, blockers and forthcoming tasks with the stakeholders and team. Strong JavaScript (ES6+), HTML5, and CSS3 fundamentals, Familiar with matrix operations or nested data structures (arrays, objects, maps), Strong debugging and optimization skills

Having knowledge of some framework for TDD

Good to have Graph QL knowledge

Immediate hiring for Senior Data Engineer

📍 Location: Hyderabad/Bangalore

💼 Experience: 7+Years

🕒 Employment Type: Full-Time

🏢 Work Mode: Hybrid

📅 Notice Period: 0-1Month serving notice only

   We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our enterprise-wide data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions.

🔎 Key Responsibilities:

• Data Pipeline Development
• Data Modeling and Architecture
• Data Integration and API Development
• Data Infrastructure Management
• Collaboration and Documentation

🎯 Required Skills:

• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
• 7+ years of proven experience in data engineering, software development, or related technical roles.
• 7+ years of experience in programming languages commonly used in data engineering (Python, Java, SQL, Stored Procedures, Scala, etc.).
• 7+ years of experience with database systems, data modeling, and advanced SQL.
• 7+ years of experience with ETL tools such as SSIS, Snowflake, Databricks, Azure Data Factory, Stored Procedures, etc.
• Experience with big data technologies such as Hadoop, Spark, Kafka, etc.
• 5+ years of experience working with cloud platforms like Azure, AWS, or Google Cloud.
• Strong analytical, problem-solving, and debugging skills with high attention to detail.
• Excellent communication and collaboration skills in a team-oriented, fast-paced environment.
• Ability to adapt to rapidly evolving technologies and business requirements.

The Software Engineer – SRE will be responsible for building and maintaining highly reliable, scalable, and secure infrastructure that powers the Albert platform. This role focuses on automation, observability, and operational excellence to ensure seamless deployment, performance, and reliability of core platform services.

Responsibilities

• Act as a passionate representative of the Albert product and brand.
• Work closely with Product Engineering and other stakeholders to plan and deliver core platform capabilities that enable scalability, reliability, and developer productivity.
• Work with the Site Reliability Engineering (SRE) team on shared full-stack ownership of a collection of services and/or technology areas.
• Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of all microservices.
• Be responsible for the design and delivery of the mission-critical stack with a focus on security, resiliency, scale, and performance.
• Own end-to-end performance and operability.
• Demonstrate a clear understanding of automation and orchestration principles.
• Act as the escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs).
• Use a deep understanding of service topology and dependencies to troubleshoot issues and define mitigations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 1+ years of software engineering experience, with at least 1 year in an SRE role focused on automation.
• Strong experience with Infrastructure as Code (IaC), preferably using Terraform.
• Strong expertise in Python or Node.js, including designing RESTful APIs and microservices architecture.
• Strong expertise in cloud infrastructure (AWS) and platform technologies including microservices, APIs, and distributed systems.
• Hands-on experience with observability stacks including centralized log management, metrics, and tracing.
• Familiarity with CI/CD tools such as CircleCI and performance testing using K6.
• Passion for bringing more automation and engineering standards to organizations.
• Experience building high-performance APIs with low latency (<200 ms).
• Ability to work in a fast-paced environment and collaborate with peers and leaders.
• Ability to lead technically, mentor engineers, and contribute to hiring and team growth.

Good to Have

• Experience with Kubernetes and container orchestration.
• Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry, Datadog.
• Experience building internal developer platforms (IDPs) or reusable engineering frameworks.
• Exposure to ML infrastructure or data engineering workflows.
• Experience working in compliance-heavy environments (SOC2, HIPAA, etc.).

About Albert Invent

Albert Invent is a cutting-edge AI-driven software company headquartered in Oakland, California, on a mission to empower scientists and innovators in chemistry and materials science to invent the future faster. Scientists in 30+ countries use Albert to accelerate R&D with AI trained like a chemist, helping bring better products to market faster.

Why Join Albert Invent

• Work with a mission-driven, fast-growing global team at the intersection of AI, data, and advanced materials science.
• Collaborate with world-class scientists and technologists to redefine how new materials are discovered and developed.
• Culture built on curiosity, collaboration, ownership, and continuous learning.
• Opportunity to build cutting-edge AI tools that accelerate real-world R&D and solve global challenges such as sustainability and advanced manufacturing.

Location: Bangalore

Experience required: 7-10 years.

Key skills: .NET core, ASP .NET, Microsoft Azure, MVC, AWS

"At Pace Wisdom Solutions, our .NET team is a dynamic and collaborative group of experts specializing in end-to-end development. With a focus on both front-end and back-end technologies, we leverage the robust .NET framework and Azure to deliver innovative and scalable solutions. Our agile approach ensures adaptability to industry changes, empowering us to provide clients with cutting-edge and tailored applications."

We are seeking a highly skilled and experienced Senior .NET Developer with a minimum of 7 years of hands-on experience. The ideal candidate will possess expertise in both front-end and back-end development, with a strong background in MVC architecture and exposure to Microsoft Azure technologies. The role requires an individual who can work independently, lead a team effectively, and contribute to the successful delivery of projects.

Engineering Culture at Pace Wisdom:

We foster a collaborative and communicative environment where engineers are empowered to share ideas freely. Teamwork is paramount, and we believe the best solutions come from diverse perspectives. We are committed to promoting from within, providing clear career paths and mentorship opportunities to help our engineers reach their full potential. Our culture prioritizes continuous learning and growth, offering a safe space to experiment, innovate, and refine your skills.

Responsibilities:

• Create scalable solutions by understanding business requirements, write code, test according to best practices.

• Own and Collaborate with the team including our customers, QA, design, and other stakeholders to drive successful project delivery.

• Advocate and mentor teams to follow best practices around: documentation, unit testing, code reviews etc.

• Comply with security policies and processes.

Qualifications:

• 7-10 years of professional experience in developing applications using .NET framework, .NET Core, Azure Services, Entity Framework

• Good knowledge of common software architecture design patterns, Object Oriented Programming, Data structures, Algorithms, Database design patterns and other best practices.

• Exposure to Cloud technologies (AWS, Azure, Google Cloud - at least one of them)

• Exposure to developing SPA on React, Angular or VueJS

• Experience with micro services, messaging systems (RabbitMQ/Kafka)

• Proven ability to lead and mentor development teams.

• Effective communication and interpersonal skills.

About the Company:

Pace Wisdom Solutions is a deep-tech Product engineering and consulting firm. We have offices in San Francisco, Bengaluru, and Singapore. We specialize in designing and developing bespoke software solutions that cater to solving niche business problems.

We engage with our clients at various stages:

• Right from the idea stage to scope out business requirements.

• Design & architect the right solution and define tangible milestones.

• Setup dedicated and on-demand tech teams for agile delivery.

• Take accountability for successful deployments to ensure efficient go-to-market Implementations.

Pace Wisdom has been working with Fortune 500 Enterprises and growth-stage startups/SMEs since 2012. We also work as an extended Tech team and at times we have played the role of a Virtual CTO too. We believe in building lasting relationships and providing value-add every time and going beyond business. 

We’re Hiring Backend Developers | Java / Go / Python | 3–5 Years | Bangalore

We are expanding our engineering team and looking for talented Backend Developers with 3–5 years of experience to join us in Bangalore.

If you enjoy building scalable systems, working with modern cloud technologies, and solving complex problems, this opportunity is for you!

💼 Position

Backend Developer (Java / Go / Python)

📍 Location: Bangalore

👨‍💻 Experience: 3–5 Years

🔎 What You Bring

✔ Strong proficiency in Go or similar backend languages like Python with Fast API or JAVA with Springboot .

✔ Experience designing RESTful APIs

✔ Hands-on experience with AWS / GCP

✔ Experience working with PostgreSQL, Redis, Kafka, or SQS

✔ Strong experience with Microservices architecture

✔ Hands-on experience with CI/CD pipelines

✔ Experience with containerized environments (Docker / Kubernetes)

✔ Familiarity with monitoring tools like Prometheus, Grafana, and Spring Actuator

✔ Strong understanding of data structures, algorithms, and system design fundamentals

✔ Ability to own features end-to-end and solve complex engineering problems

✔ Strong focus on code quality, observability, and operational ownership

✔ Comfortable working in fast-paced, high-growth environments

AWS DevOps Engineer (1–2 Years Experience)

We are looking for a motivated AWS DevOps Engineer with 1–2 years of experience to join our team. The ideal candidate should have hands-on experience with cloud infrastructure, CI/CD pipelines, and automation tools.

Key Responsibilities

• Manage and maintain cloud infrastructure on Amazon Web Services
• Build and manage CI/CD pipelines for automated deployments
• Work with containerization tools like Docker
• Assist in deployment and orchestration using Kubernetes
• Monitor applications and infrastructure performance
• Collaborate with development teams to improve deployment processes
• Automate infrastructure using scripts and DevOps tools

Required Skills

• 1–2 years experience in DevOps or Cloud Engineering
• Strong knowledge of Amazon Web Services services such as EC2, S3, IAM
• Experience with CI/CD tools like Jenkins or GitHub Actions
• Knowledge of container tools like Docker
• Familiarity with version control systems like Git
• Basic scripting knowledge (Shell / Python)

Good to Have

• Experience with Infrastructure as Code tools like Terraform
• Knowledge of monitoring tools such as Prometheus or Grafana
• Understanding of Linux environments

FULL STACK DEVELOPER

JOB DESCRIPTION – FULL STACK DEVELOPER 

Location: Bangalore 

Key Responsibilities:       

Establish processes, SLAs, and escalation protocols for the support & maintenance of web applications       

Manage stakeholders with effective communication & collaborate with cross functional teams to address issues and maintain business continuity.      

Design, implement, unit test, and build business applications using React, React-Native, .Net Core, .Net 8, Azure/AWS and leveraging an agile methodology and latest tech like Agentic AI & Gihub Copilot.     

Facilitate scrum ceremonies including sprint planning, retrospectives, reviews, and daily stand-ups·       

Facilitate discussion, assessment of alternatives or different approaches, decision making, and conflict resolution within the development team       

Develop and administer CI/CD pipelines in cloud-hosted Git repositories, and source control artifacts via Git in alignment with common branching strategies and workflows    

Assist Software Designer/Implementers with the creation of detailed software design specifications      

Participate in the system specification review process to ensure system requirements can be translated into valid software architecture       

Integrate internal and external product designs into a cohesive user experience       

Identify and keep track of metrics that indicate how software is performing     

Handle technical and non-technical queries from the development team and stakeholders      

Ensure that all development practices follow best practices and any relevant policies / procedures 

Other Duties·       Maintain project reporting including dashboards, status reports, road maps, burn down, velocity, and resource utilization.    

Own the technical solution and ensure all technical aspects are implemented as designed. ·       

Partner with the customer success team and aid in triaging and troubleshooting customer support issues spanning across a range of software components, infrastructure, integrations, and services, some of which target 24/7/365 availability     

Flexible to work in rotational shift   

Required Qualification     

Previous experience of leading full stack technology projects with scrum teams and stakeholder management·       

BTech or MTech in computer science, or related field·       

3-5 years of experience.  

Required Knowledge, Skills and Abilities: (Include any required computer skills, certifications, licenses, languages, etc)·      

With Proficiency in .NET Core/.Net 8/, React, React-Native, Redux, Material, Bootstrap, Typescript, SCSS, Microservices, EF, LINQ, SQL, Azure/AWS, CI CD, Agile, Agentic AI, Github Copilot·       

Azure Dev Ops, Design System, Micro front ends, Data Science·       

Stakeholder management & excellent communication skills.    

Must have skills

React - 3 years

React Native - 3 years

Redux - 1 years

Material UI - 1 years

Typescript - 1 years

Bootstrap - 1 years

Microservices - 2 years

SQL - 1 years

Azure - 1 years

Nice to have skills

.NET Core - 3 years

NET 8 - 3 years

AWS - 1 years

LINQ - 1 years

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)

We are looking for an experienced Data Engineer with strong expertise in AWS, DBT, Databricks, and Apache Airflow to join our growing data engineering team.

Immediate joiners preferred

Role Overview 

The ideal candidate will design, develop, and maintain scalable data pipelines and data platforms to support analytics and business intelligence initiatives.

Key Responsibilities

1. Design and build scalable data pipelines using AWS, Databricks, DBT, and Airflow.
2. Develop and optimize ETL/ELT workflows for large-scale data processing.
3. Implement data transformation models using DBT.
4. Orchestrate workflows using Apache Airflow.
5. Work with Databricks for big data processing and analytics.
6. Ensure data quality, reliability, and performance optimization.
7. Collaborate with data analysts, engineers, and business teams.

Required Skills

1. Strong experience with AWS data services
2. Hands-on experience with Databricks
3. Experience in DBT (Data Build Tool)
4. Workflow orchestration using Apache Airflow
5. Strong SQL and Python skills
6. Experience in data warehousing and ETL pipelines

Great Opportunity for .NET Developer

📍 Location: Hyderabad/Bangalore

💼 Experience: 3-10Years

🕒 Employment Type: Full-Time

🏢 Work Mode: Hybrid

📅 Notice Period: 0-1Month

Responsibilities:

· Lead moderately complex initiatives and deliverables within technical domain environments

· Contribute to large scale planning of strategies

· Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments

· Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures

· Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements

· Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

· Contributes heavily projects and act as an escalation point, provide guidance and direction to less experienced staff

· Participate in daily scrum activities.

Required Qualifications:

· 3+ years of Software Engineering experience, or equivalent demonstrated through work experience

· 2+ years of experience in C#, Web Forms, .NET, .NET Framework, .NET Core

· 2+ years of experience in Angular/React.js

· 2+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc.

Desired Qualifications:

· Bachelor's/Master's Degree in Computer Science or equivalent

· 2+ Years of experience in Enterprise Architecture

· 2+ years of DevOps tool set based continuous incremental delivery experience

· 2+ years working in Azure Public Cloud Platform

· 2+ years working in Micro Front End Architecture

· 2+ years using SQL Server or Oracle DB.

Skillset:

· SQL (PL/SQL and T-SQL)

· CI/CD

· REST API’s

· C#, Web Forms, .NET, .NET Framework, .NET Core

· Angular/React.js

· Web Form

About the role

We are seeking a seasoned Backend Tech Lead with deep expertise in Golang and Python to lead our backend team. The ideal candidate has 6+ years of experience in backend technologies and 2–3 years of proven engineering mentoring experience, having successfully scaled systems and shipped B2C applications in collaboration with product teams.

Responsibilities

Technical & Product Delivery

● Oversee design and development of backend systems operating at 10K+ RPM scale.

● Guide the team in building transactional systems (payments, orders, etc.) and behavioral systems (analytics, personalization, engagement tracking).

● Partner with product managers to scope, prioritize, and release B2C product features and applications.

● Ensure architectural best practices, high-quality code standards, and robust testing practices.

● Own delivery of projects end-to-end with a focus on scalability, reliability, and business impact.

Operational Excellence

● Champion observability, monitoring, and reliability across backend services.

● Continuously improve system performance, scalability, and resilience.

● Streamline development workflows and engineering processes for speed and quality.

Requirements

● Experience:

7+ years of professional experience in backend technologies.

2-3 years as Tech lead and driving delivery.

● Technical Skills:

Strong hands-on expertise in Golang and Python.

Proven track record with high-scale systems (≥10K RPM).

Solid understanding of distributed systems, APIs, SQL/NoSQL databases, and cloud platforms.

● Leadership Skills:

Demonstrated success in managing teams through 2–3 appraisal cycles.

Strong experience working with product managers to deliver consumer-facing applications.

● Excellent communication and stakeholder management abilities.

Nice-to-Have

● Familiarity with containerization and orchestration (Docker, Kubernetes).

● Experience with observability tools (Prometheus, Grafana, OpenTelemetry).

● Previous leadership experience in B2C product companies operating at scale.

What We Offer

● Opportunity to lead and shape a backend engineering team building at scale.

● A culture of ownership, innovation, and continuous learning.

● Competitive compensation, benefits, and career growth opportunities.

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

Hiring: AWS DevOps Developer

📍 Location: Bangalore

🧑‍💻 Experience: 4–7 Years

📌 Job Summary

We are looking for a skilled AWS DevOps Developer with strong experience in AWS cloud infrastructure, CI/CD automation, containerization, and Infrastructure as Code. The ideal candidate should have hands-on experience building scalable and secure cloud environments.

🛠 Required Technical Skills

☁️ AWS Services

• Amazon EC2
• Amazon S3
• IAM
• VPC
• Amazon EKS
• RDS
• Route 53
• CloudWatch
• AWS Lambda

🔄 DevOps & CI/CD

• Jenkins (Pipelines, Shared Libraries)
• Git / GitHub
• Maven / Build tools
• CI/CD pipeline design & implementation

🐳 Containers & Orchestration

• Docker
• Kubernetes (EKS preferred)
• Helm

🏗 Infrastructure as Code

• Terraform
• Ansible

📊 Monitoring & Logging

• CloudWatch
• Prometheus
• Grafana

📋 Roles & Responsibilities

• Design and implement scalable AWS infrastructure
• Build and maintain CI/CD pipelines
• Deploy containerized applications using Docker & Kubernetes
• Automate infrastructure provisioning using Terraform
• Implement monitoring and alerting solutions
• Ensure security, compliance, and cost optimization
• Troubleshoot production issues and improve system reliability

➕ Good to Have

• AWS Certification (Solutions Architect / DevOps Engineer)
• Experience with Microservices architecture
• Knowledge of DevSecOps practices
• Experience in Agile methodology

Job Title: Senior Full-stack Developer (Python,React)

Location: Hyderabad, India (On-site Only)

Employment Type: Full-Time

Work Mode: Office-Based; Remote or Hybrid Not Allowed

Role Summary

We are looking for a skilled Senior Fullstack Developer with expertise in Django (Python),React, RESTful APIs, GraphQL, microservices architecture, Redis, and AWS services (SNS, SQS, etc.). The ideal candidate will be responsible for designing, developing, and maintaining scalable backend systems and APIs to support dynamic frontend applications and services.

 Required Skillset:

l 9+ years of professional experience writing production-grade software, including experience leading the design of complex systems.

l Strong expertise in Python (Django or equivalent frameworks) and REST API development.

l Solid exp of frontend frameworks such as React and TypeScript.

l Strong understanding of relational databases (MySQL or PostgreSQL preferred).

l Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

l Hands-on experience with cloud infrastructure (AWS preferred)

l Proven experience debugging complex production issues and improving observability.

Preferred Skillset:

l Experience in enterprise SaaS or B2B systems with multi-tenancy, authentication (OAuth, SSO, SAML), and data partitioning. Exposure to Kafka or RabbitMQ, microservices.

l Knowledge of event-driven architecture, A/B testing frameworks, and analytics pipelines.

l Familiarity with accessibility standards and best practices Agile/Scrum methodologies.

l Exposure to the Open edX ecosystem or open-source contributions in education tech.

l Demonstrated history of technical mentorship, team leadership, or cross-team collaboration.

Tech Stack:

l Backend: Python (Django), (Celery,Redis Asynchronous workflows), REST APIs

l Frontend: React, TypeScript, SCSS

l Data: MySQL, Snowflake, Elasticsearch

l DevOps/Cloud: Docker,Kubernetes,GitHub Actions,AWS

l Monitoring: Datadog 

l Collaboration Tools: GitHub, Jira, Slack, Segment

Primary Responsibilities:

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

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

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

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

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

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

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

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

Key Responsibilities:

• Design and develop backend components and sub-systems for large-scale platforms under guidance from senior engineers.
• Contribute to building and evolving the next-generation customer data platform.
• Write clean, efficient, and well-tested code with a focus on scalability and performance.
• Explore and experiment with modern technologies—especially open-source frameworks—
• and build small prototypes or proof-of-concepts.
• Use AI-assisted development tools to accelerate coding, testing, debugging, and learning while adhering to engineering best practices.
• Participate in code reviews, design discussions, and continuous improvement of the platform.

Qualifications:

• 0–2 years of experience (or strong academic/project background) in backend development with Java.
• Good fundamentals in algorithms, data structures, and basic performance optimizations.
• Bachelor’s or Master’s degree in Computer Science or IT (B.E / B.Tech / M.Tech / M.S) from premier institutes.

Technical Skill Set:

• Strong aptitude and analytical skills with emphasis on problem solving and clean coding.
• Working knowledge of SQL and NoSQL databases.
• Familiarity with unit testing frameworks and writing testable code is a plus.
• Basic understanding of distributed systems, messaging, or streaming platforms is a bonus.

AI-Assisted Engineering (LLM-Era Skills):

• Familiarity with modern AI coding tools such as Cursor, Claude Code, Codex, Windsurf, Opencode, or similar.
• Ability to use AI tools for code generation, refactoring, test creation, and learning new systems responsibly.
• Willingness to learn how to combine human judgment with AI assistance for high-quality engineering outcomes.

Soft Skills & Nice to Have

• Appreciation for technology and its ability to create real business value, especially in data and marketing platforms.
• Clear written and verbal communication skills.
• Strong ownership mindset and ability to execute in fast-paced environments.
• Prior internship or startup experience is a plus.

Job Summary

We are looking for a highly skilled Senior Java/Kotlin Developer with strong experience in Microservices Architecture and AWS Cloud. The ideal candidate should have hands-on expertise in designing, developing, and deploying scalable microservices-based applications using Java/Kotlin and AWS services.

Key Responsibilities

• Design and develop scalable, secure, and high-performance microservices using Java and/or Kotlin
• Build RESTful APIs using frameworks like Spring Boot / Spring Cloud
• Develop and deploy cloud-native applications on AWS
• Implement containerized applications using Docker and orchestrate using Kubernetes / EKS
• Work with messaging systems like Kafka / SQS
• Implement CI/CD pipelines using tools like Jenkins / GitHub Actions
• Ensure best practices in system design, code quality, testing, and security
• Collaborate with cross-functional teams (DevOps, QA, Product)
• Participate in code reviews and mentor junior developers

Required Skills

• 5+ years of strong experience in Java development
• Hands-on experience in Kotlin
• Strong knowledge of Microservices Architecture
• Experience with Spring Boot, Spring MVC, Spring Security
• Strong experience in AWS services such as:
• EC2
• S3
• RDS
• Lambda
• ECS/EKS
• API Gateway
• SQS/SNS
• Experience with Docker & Kubernetes
• Strong understanding of REST APIs and distributed systems
• Experience with relational databases (MySQL/PostgreSQL) and NoSQL (MongoDB/DynamoDB)
• Good understanding of design patterns and clean architecture
• Experience in Agile/Scrum methodology

Build AI Systems That Change How Industries Operate

Tailored AI is not just another tech company. We’re building the McKinsey of AI systems a new kind of firm, made up of engineers who understand business deeply and use AI as a force multiplier.

As an SDE 2, you’ll lead and own the engineering for an entire product track, often working directly with clients and stakeholders. You’ll be the architect, the executor, and the problem-solver-in-chief. You’ll take vague problem statements, turn them into elegant solutions, and bring them to life in production.

What You’ll Do

• Architect and build AI-powered software solutions from scratch
• Own a full engineering track—backend, infra, integrations, and LLM workflows
• Interface with customers to align on specs, iterate fast, and deploy with confidence
• Mentor SDE 1s and Interns, conduct code reviews, and guide engineering quality
• Stay on top of AI trends, contribute to internal tooling and shared best practices

What You’ll Gain

• Leadership opportunties and fast progression to Senior SDE roles
• Deep knowledge of how AI is transforming industries while actually building it
• High ownership, zero bureaucracy, and direct influence on product direction
• Exposure to multi-agent AI systems, enterprise integrations, and scalable infra

Who You Are

• 2–3 years of strong backend engineering experience
• Proven track record of owning software modules and delivering in production
• Skilled in Python, Django/FastAPI, Postgres, AWS
• Exposure to system design and performance optimization
• Interest in AI tools like Langchain, OpenAI, vector DBs, etc.
• Strong analytical and communication skills

Tech Stack You’ll Work With

• Python, Django, FastAPI
• Postgres, Redis, S3
• EC2, Lambda, Cloudwatch
• Langchain, LLM APIs, Vector DBs
• REST APIs, Microservices, GitHub Actions

Some Real Problems You Might Work On

• Building a multi-agent career coaching assistant that guides users and automates job hunting
• Deploying a chatbot that generates employee performance reviews on-demand from HR data
• Designing an LLM pipeline to help Indian lawyers access precedents, statutes, and case law in seconds

Interview Process

1. Screening – A quick call with a Co-Founder to align on fit
2. CV + Puzzle + Programming – 1 hour round to gauge problem-solving and fundamentals
3. Live Coding – Solve a coding task using Python + docs
4. System Design – For SDE 2, a take-home problem and a detailed discussion round

Job Title: Java Full Stack Developer

Location: Bangalore

Experience: 3–9 Years

Employment Type: Full-Time

Role Overview

We are looking for an experienced Java Full Stack Developer with strong backend expertise in Java and frontend experience in modern UI frameworks. The ideal candidate should be capable of designing scalable backend services and developing responsive user interfaces.

Key Responsibilities

• Develop and maintain scalable applications using Java (8/11/17)
• Build RESTful APIs using Spring Boot / Spring MVC
• Design and develop frontend applications using Angular / React / Vue.js
• Work with relational databases like MySQL / PostgreSQL / Oracle
• Implement Microservices architecture
• Integrate third-party APIs and external systems
• Write unit and integration test cases
• Participate in code reviews and Agile ceremonies
• Ensure application performance, security, and scalability
• Work with CI/CD pipelines for deployment

Required Skills

Backend:

• Strong knowledge of Core Java
• Spring Boot, Spring MVC, Spring Security
• REST API development
• Microservices architecture
• Hibernate / JPA
• SQL & Database design

Frontend:

• Angular (8+) or React.js
• HTML5, CSS3, JavaScript, TypeScript
• Bootstrap / Material UI

DevOps & Tools:

• Git
• Maven / Gradle
• Jenkins / Azure DevOps
• Docker (Good to have)
• Kubernetes (Preferred)

Preferred Skills

• Cloud experience (AWS / Azure / GCP)
• Kafka / Messaging systems
• Redis / Caching mechanisms
• Agile/Scrum methodology

Job Title: Java Backend Developer

Experience: ~3-6 years (Mid-to-Senior)

Employment Type: Full-time, Permanent

Location : Bangalore

Role Overview

As a Java Backend Developer, you’ll be responsible for designing, developing, and maintaining scalable backend systems and microservices. You’ll work with cross-functional teams to build high-performance distributed services, APIs, and data-driven applications that power business solutions.

Key Responsibilities

• Design and implement microservices and backend components using Java (8+) and Spring Boot.
• Build and consume RESTful APIs and integrate with internal/external services.
• Work with event-driven systems and messaging using Apache Kafka (producers/consumers).
• Develop and optimize databases, including SQL (e.g., MySQL/PostgreSQL) and NoSQL (e.g., MongoDB/Cassandra).
• Participate in CI/CD pipelines, automated builds, and deployments using tools like Git, Maven, Jenkins.
• Ensure code quality through unit and integration testing, documentation, and code reviews.
• Collaborate with frontend developers, QA, DevOps, and product teams following Agile methodologies.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven hands-on experience with Core Java and Spring Boot development.
• Strong understanding of microservices architecture, REST APIs, and distributed systems.
• Experience with message queues/event streaming (Apache Kafka).
• Skilled in relational and NoSQL databases and writing optimized queries.
• Comfortable with CI/CD tools (e.g., Git, Maven, Jenkins) and version control.
• Good problem-solving, debugging, and collaboration skills.

Preferred / Nice-to-Have

• Cloud platform experience (AWS / Azure / GCP).
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Knowledge of performance tuning, caching strategies, observability (metrics/logging).
• Agile/Scrum development experience.

About the role:

We are looking for a skilled and driven Security Engineer to join our growing security team. This role requires a hands-on professional who can evaluate and strengthen the security posture of our

applications and infrastructure across Web, Android, iOS, APIs, and cloud-native environments.

The ideal candidate will also lead technical triage from our bug bounty program, integrate security into the DevOps lifecycle, and contribute to building a security-first engineering culture.

Required Skills & Experience:

● 3 to 6 years of solid hands-on experience in the VAPT domain

● Solid understanding of Web, Android, and iOS application security

● Experience with DevSecOps tools and integrating security into CI/CD

● Strong knowledge of cloud platforms (AWS/GCP/Azure) and their security models

● Familiarity with bug bounty programs and responsible disclosure practices

● Familiarity with tools like Burp Suite, MobSF, OWASP ZAP, Terraform, Checkov..etc

● Good knowledge of API security

● Scripting experience (Python, Bash, or similar) for automation tasks

Preferred Qualifications:

● OSCP, CEH, AWS Security Specialty, or similar certifications

● Experience working in a regulated environment (e.g., FinTech, InsurTech)

Responsibilities:

● Perform Security reviews, Vulnerability Assessments & Penetration Testing for Web,

Android, iOS, and API endpoints

● Perform Threat Modelling & anticipate potential attack vectors and improve security

architecture on complex or cross-functional components

● Identify and remediate OWASP Top 10 and mobile-specific vulnerabilities

● Conduct secure code reviews and red team assessments

● Integrate SAST, DAST, SCA, and secret scanning tools into CI/CD pipelines

● Automate security checks using tools like SonarQube, Snyk, Trivy, etc.

● Maintain and manage vulnerability scanning infrastructure

● Perform security assessments of AWS, Azure, and GCP environments, with an emphasis

on container security, particularly for Docker and Kubernetes.

● Implement guardrails for IAM, network segmentation, encryption, and cloud monitoring

● Contribute to infrastructure hardening for containers, Kubernetes, and virtual machines

● Triage bug bounty reports and coordinate remediation with engineering teams

● Act as the primary responder for external security disclosures

● Maintain documentation and metrics related to bug bounty and penetration testing

activities

● Collaborate with developers and architects to ensure secure design decisions

● Lead security design reviews for new features and products

● Provide actionable risk assessments and mitigation plans to stakeholders

🚀 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.

⭐ Preferred Background :

• Experience in product-based companies.
• Exposure to high-throughput or event-driven systems.
• Strong focus on code quality, observability, and reliability.
• Comfortable working in high-growth, fast-paced environments.

🧑‍💻 Interview Process :

• 1 Internal Screening Round
• HR Discussion (Project & Communication Evaluation)
• 3 Technical Rounds with Client

This is a fresh requirement, and interviews will be scheduled immediately.

JOB DETAILS:

* Job Title: Principal Data Scientist

* Industry: Healthcare

* Salary: Best in Industry

* Experience: 6-10 years

* Location: Bengaluru

Preferred Skills: Generative AI, NLP & ASR, Transformer Models, Cloud Deployment, MLOps

Criteria:

1. Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
2. Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
3. Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
4. Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
5. Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.

Job Description

Principal Data Scientist

(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)

Job Details

• Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)
• Location: Hebbal Ring Road, Bengaluru
• Work Mode: Work from Office
• Shift: Day Shift
• Reporting To: SVP
• Compensation: Best in the industry (for suitable candidates)

Educational Qualifications

• Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage

Experience Required

• 7+ years of experience solving real-world problems using:
• Natural Language Processing (NLP)
• Automatic Speech Recognition (ASR)
• Large Language Models (LLMs)
• Machine Learning (ML)
• Preferably within the healthcare domain
• Experience in Agentic AI, cloud deployments, and fine-tuning transformer-based models is highly desirable

Role Overview

This position is part of company, a healthcare division of Focus Group specializing in medical coding and scribing.

We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:

• Reduce administrative burden in EMR data entry
• Improve provider satisfaction and productivity
• Enhance quality of care and patient outcomes

Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.

The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.

Key Responsibilities

AI Strategy & Solution Development

• Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI
• Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation
• Develop and integrate Agentic AI frameworks enabling multi-agent collaboration
• Design scalable, reusable, and production-ready AI frameworks for speech and text analytics

Model Development & Optimization

• Fine-tune, train, and optimize large-scale NLP and ASR models
• Develop and optimize ML algorithms for speech, text, and structured healthcare data
• Conduct rigorous testing and validation to ensure high clinical accuracy and performance
• Continuously evaluate and enhance model efficiency and reliability

Cloud & MLOps Implementation

• Architect and deploy AI models on AWS, Azure, or GCP
• Deploy and manage models using containerization, Kubernetes, and serverless architectures
• Design and implement robust MLOps strategies for lifecycle management

Integration & Compliance

• Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR
• Integrate AI systems with EHR/EMR platforms
• Implement ethical AI practices, regulatory compliance, and bias mitigation techniques

Collaboration & Leadership

• Work closely with business analysts, healthcare professionals, software engineers, and ML engineers
• Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures
• Mentor and lead junior data scientists and engineers
• Contribute to AI research, publications, patents, and long-term AI strategy

Required Skills & Competencies

• Expertise in Machine Learning, Deep Learning, and Generative AI
• Strong Python programming skills
• Hands-on experience with PyTorch and TensorFlow
• Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)
• Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)
• Experience with text embeddings and vector databases
• Proficiency in cloud platforms (AWS, Azure, GCP)
• Experience with LangChain, OpenAI APIs, and RAG architectures
• Knowledge of agentic AI frameworks and reinforcement learning
• Familiarity with Docker, Kubernetes, and MLOps best practices
• Understanding of FHIR, HL7, HIPAA, and healthcare system integrations
• Strong communication, collaboration, and mentoring skills

Job Role: Teamcenter Admin

• Teamcenter and CAD (NX) Configuration Management

• Advanced debugging and root-cause analysis beyond L2

• Code fixes and minor defect remediation

• AWS knowledge, which is foundational to our Teamcenter architecture

• Experience supporting weekend and holiday code deployments

• Operational administration (break/fix, handle ticket escalations, problem management

• Support for project activities

• Deployment and code release support

• Hypercare support following deployment, which is expected to onboard approximately 1,000+ additional users

JOB DETAILS:

* Job Title: Specialist I - DevOps Engineering

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 7-10 years

* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram

Job Description

Job Summary:

As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.

The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.

Key Responsibilities:

• Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
• Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
• Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
• Define migration scope — determine how much history to migrate and plan the repository structure.
• Manage branch renaming and repository organization for optimized post-migration workflows.
• Collaborate with development teams to determine migration points and finalize migration strategies.
• Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.

Required Qualifications:

• Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
• Hands-on experience with P4-Fusion.
• Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
• Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
• Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
• Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
• Familiarity with CI/CD pipeline integration to validate workflows post-migration.
• Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
• Excellent communication and collaboration skills for cross-team coordination and migration planning.
• Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.

Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools

Must-Haves

Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)

Job Description -

Profile: .Net Full Stack Lead

Experience Required: 7–12 Years

Location: Pune, Bangalore, Chennai, Coimbatore, Delhi, Hosur, Hyderabad, Kochi, Kolkata, Trivandrum

Work Mode: Hybrid

Shift: Normal Shift

Key Responsibilities:

• Design, develop, and deploy scalable microservices using .NET Core and C#
• Build and maintain serverless applications using AWS services (Lambda, SQS, SNS)
• Develop RESTful APIs and integrate them with front-end applications
• Work with both SQL and NoSQL databases to optimize data storage and retrieval
• Implement Entity Framework for efficient database operations and ORM
• Lead technical discussions and provide architectural guidance to the team
• Write clean, maintainable, and testable code following best practices
• Collaborate with cross-functional teams to deliver high-quality solutions
• Participate in code reviews and mentor junior developers
• Troubleshoot and resolve production issues in a timely manner

Required Skills & Qualifications:

• 7–12 years of hands-on experience in .NET development
• Strong proficiency in .NET Framework, .NET Core, and C#
• Proven expertise with AWS services (Lambda, SQS, SNS)
• Solid understanding of SQL and NoSQL databases (SQL Server, MongoDB, DynamoDB, etc.)
• Experience building and deploying Microservices architecture
• Proficiency in Entity Framework or EF Core
• Strong knowledge of RESTful API design and development
• Experience with React or Angular is a good to have
• Understanding of CI/CD pipelines and DevOps practices
• Strong debugging, performance optimization, and problem-solving skills
• Experience with design patterns, SOLID principles, and best coding practices
• Excellent communication and team leadership skills

• Minimum 4+ years of years

• Experience in designing, developing, and maintain backend services using C# 12 and .NET 8 or .NET 9

• Experience in building and operating cloud native and serverless applications on AWS

• Experience in developing and integrating services using AWS lambda, API Gateway , dynamo DB, Eventbridge, CloudWatch, SQS, SNS, Kinesis, Secret Manager, S3 storage, server architectural models etc.

Experience in integrating services using AWS SDK

• Should be cognizant of the OMS paradigms including Inventory Management, Inventory publish, supply feed processing, control mechanisms, ATP publish, Order Orchestration, workflow set up and customizations, integrations with tax, AVS, payment engines, sourcing algorithms and managing reservations with back orders, schedule mechanisms, flash sales management etc.

• Should have a decent End to End knowledge of various Commerce subsystems which include Storefront, Core Commerce back end, Post Purchase processing, OMS, Store / Warehouse Management processes, Supply Chain and Logistic processes. This is to ascertain candidates knowhow on the overall Retail landscape of any customer.

• Strong knowledge in Querying in Oracle DB and SQL Server

• Able to read, write and manage PLSQL procedures in oracle.

• Strong debugging, performance tuning and problem solving skills

• Experience with event driven and micro services architectures

Job Details

- Job Title: SDE-3

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 5-8 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Role & Responsibilities

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

Key Responsibilities:

Technical Leadership-

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

System Architecture and Design-

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

Problem Solving and Optimization-

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

Innovation and Continuous Improvement-

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

Collaboration and Communication-

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

Ideal Candidate

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

Job Details

- Job Title: Staff Engineer

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 9-12 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Role & Responsibilities

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

Key Responsibilities-

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

Ideal Candidate

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

Role- Sr Software Developer (Fullstack)

Location- Gurgaon/ Bangalore

Mode- Hybrid

Job Description: Sr Software Developer (Golang expertise) – 5+ years 

Role Summary:-

We are seeking an experienced Senior Engineer with strong expertise in Golang and cloud-based web applications. The ideal candidate will work across multiple backend services, contribute to architectural decisions, ensure quality through best practices, and collaborate effectively with cross-functional teams. 

Key Responsibilities:- 

• Design, develop, and maintain backend services using Golang. 

• Work across multiple Golang applications and microservices. 

• Have good understanding of internal enterprise services such as SSO, authorization, and user management. 

• Collaborate with cloud engineering teams to build and manage applications on AWS or Azure. 

• Follow and enforce backend development best practices including CI/CD, coding guidelines, and code reviews. 

• Use tools like SonarQube for static and dynamic code analysis. 

• Write high‑quality unit tests and maintain test coverage. 

• Document system designs, APIs, and technical workflows. 

• Mentor junior team members and contribute to overall team maturity.

Required Skills:-

• Strong, hands‑on experience with Golang across multiple real‑world projects.

• Good experience with dell cloud 

• Good understanding of cloud services (AWS or Azure) for web application development. 

• Knowledge of SSO, authorization services, and internal service integrations. 

• Excellent communication and collaboration skills. 

• Experience with CI/CD pipelines, coding standards, and automated testing. 

• Familiarity with code quality tools such as SonarQube. 

• Strong documentation skills. 

Good-to-Have Skills:-

• Knowledge of Python or JavaScript. 

• Understanding of frontend technologies (react.js). 

• Experience mentoring or guiding team members.

Note- We are looking out immediate joiners.

ROLE: Ai ML Senior Developer

Exp: 5 to 8 Years

Location: Bangalore (Onsite)

About ProductNova

ProductNova is a fast-growing product development organization that partners with

ambitious companies to build, modernize, and scale high-impact digital products. Our teams

of product leaders, engineers, AI specialists, and growth experts work at the intersection of

strategy, technology, and execution to help organizations create differentiated product

portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+

large-scale, AI-powered products and platforms across industries. We specialize in solving

complex business problems through thoughtful product design, robust engineering, and

responsible use of AI.

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply

aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

1. Product discovery and problem definition

2. User research and product strategy

3. Experience design and rapid prototyping

4. AI-enabled engineering, testing, and platform architecture

5. Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are

resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with

customers to iterate based on user feedback and expand products across new use cases,

customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into

viable products, identifying target customers, achieving product-market fit, and supporting

go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying

opportunities to modernize and scale existing products, enter new geographies, and build

entirely new product lines. Our teams enable innovation through AI, platform re-

architecture, and portfolio expansion to support sustained business growth.

Role Overview:

We are seeking an experienced AI / ML Senior Developer with strong hands-on expertise in large language models (LLMs) and AI-driven application development. The ideal candidate will have practical experience working with GPT and Anthropic models, building and training B2B products powered by AI, and leveraging AI-assisted development tools to deliver scalable and intelligent solutions.

Key Responsibilities:

1. Model Analysis & Optimization

Analyze, customize, and optimize GPT and Anthropic-based models to ensure reliability, scalability, and performance for real-world business use cases.

2. AI Product Design & Development

Design and build AI-powered products, including model training, fine-tuning, evaluation, and performance optimization across development lifecycles.

3. Prompt Engineering & Response Quality

Develop and refine prompt engineering strategies to improve model accuracy, consistency, relevance, and contextual understanding.

4. AI Service Integration

Build, integrate, and deploy AI services into applications using modern development practices, APIs, and scalable architectures.

5. AI-Assisted Development Productivity

Leverage AI-enabled coding tools such as Cursor and GitHub Copilot to accelerate development, improve code quality, and enhance efficiency.

6. Cross-Functional Collaboration

Work closely with product, business, and engineering teams to translate business requirements into effective AI-driven solutions.

7. Model Monitoring & Continuous Improvement

Monitor model performance, analyze outputs, and iteratively improve accuracy, safety, and overall system effectiveness.

Qualifications:

1. Hands-on experience analyzing, developing, fine-tuning, and optimizing GPT and Anthropic-based large language models.

2. Strong expertise in prompt design, experimentation, and optimization to enhance response accuracy and reliability.

3. Proven experience building, training, and deploying chatbots or conversational AI systems.

4. Practical experience using AI-assisted coding tools such as Cursor or GitHub Copilot in production environments.

5. Solid programming experience in Python, with strong problem-solving and development fundamentals.

6. Experience working with embeddings, similarity search, and vector databases for retrieval-augmented generation (RAG).

7. Knowledge of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.

8. Experience with cloud environments such as Azure, AWS for deploying and managing AI solutions.

9. Experience with APIs, microservices architecture, and system integration for scalable AI applications.

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization

If you are a results-driven AiML Senior Developer with a passion for developing innovative products that drive business growth, we invite you to join our dynamic team at ProductNova.

ROLE - TECH LEAD/ARCHITECT with AI Expertise

Experience: 10–15 Years

Location: Bangalore (Onsite)

Company Type: Product-based | AI B2B SaaS

About ProductNova

ProductNova is a fast-growing product development organization that partners with

ambitious companies to build, modernize, and scale high-impact digital products. Our teams

of product leaders, engineers, AI specialists, and growth experts work at the intersection of

strategy, technology, and execution to help organizations create differentiated product

portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+

large-scale, AI-powered products and platforms across industries. We specialize in solving

complex business problems through thoughtful product design, robust engineering, and

responsible use of AI.

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply

aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

1. Product discovery and problem definition

2. User research and product strategy

3. Experience design and rapid prototyping

4. AI-enabled engineering, testing, and platform architecture

5. Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are

resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with

customers to iterate based on user feedback and expand products across new use cases,

customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into

viable products, identifying target customers, achieving product-market fit, and supporting

go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying

opportunities to modernize and scale existing products, enter new geographies, and build

entirely new product lines. Our teams enable innovation through AI, platform re-

architecture, and portfolio expansion to support sustained business growth.

Role Overview

We are looking for a Tech Lead / Architect to drive the end-to-end technical design and

development of AI-powered B2B SaaS products. This role requires a strong hands-on

technologist who can work closely with ML Engineers and Full Stack Development teams,

own the product architecture, and ensure scalability, security, and compliance across the

platform.

Key Responsibilities

• Lead the end-to-end architecture and development of AI-driven B2B SaaS products

• Collaborate closely with ML Engineers, Data Scientists, and Full Stack Developers to

integrate AI/ML models into production systems

• Define and own the overall product technology stack, including backend, frontend,

data, and cloud infrastructure

• Design scalable, resilient, and high-performance architectures for multi-tenant SaaS

platforms

• Drive cloud-native deployments (Azure) using modern DevOps and CI/CD practices

• Ensure data privacy, security, compliance, and governance (SOC2, GDPR, ISO, etc.)

across the product

• Take ownership of application security, access controls, and compliance

requirements

• Actively contribute hands-on through coding, code reviews, complex feature development and architectural POCs

• Mentor and guide engineering teams, setting best practices for coding, testing, and

system design

• Work closely with Product Management and Leadership to translate business

requirements into technical solutions

Qualifications:

• 10–15 years of overall experience in software engineering and product

development

• Strong experience building B2B SaaS products at scale

• Proven expertise in system architecture, design patterns, and distributed systems

• Hands-on experience with cloud platforms (Azure, AWS/GCP)

• Solid background in backend technologies (Python/ .NET / Node.js / Java) and

modern frontend frameworks like (React, JS, etc.)

• Experience working with AI/ML teams in deploying and tuning ML models into production

environments

• Strong understanding of data security, privacy, and compliance frameworks

• Experience with microservices, APIs, containers, Kubernetes, and cloud-native

architectures

• Strong working knowledge of CI/CD pipelines, DevOps, and infrastructure as code

• Excellent communication and leadership skills with the ability to work cross-

functionally

• Experience in AI-first or data-intensive SaaS platforms

• Exposure to MLOps frameworks and model lifecycle management

• Experience with multi-tenant SaaS security models

• Prior experience in product-based companies or startups

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization

If you are a results-driven Technical Lead with a passion for developing innovative products that drives business growth, we invite you to join our dynamic team at ProductNova.

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

Description :

About the Role :

We're seeking a dynamic and technically strong Engineering Manager to lead, grow, and inspire our high-performing engineering team. In this role, you'll drive technical strategy, deliver scalable systems, and ensure SolarSquare's platforms continue to delight users at scale. You'll combine hands-on technical expertise with a passion for mentoring engineers, shaping culture, and collaborating across functions to bring bold ideas to life in a fast-paced startup environment.

Responsibilities :

- Lead and manage a team of full stack developers (SDE1 to SDE3), fostering a culture of ownership, technical excellence, and continuous learning.

- Drive the technical vision and architectural roadmap for the MERN stack platform, ensuring scalability, security, and high performance.

- Collaborate closely with product, design, and business teams to align engineering priorities with business goals and deliver impactful products.

- Ensure engineering best practices across code reviews, testing strategies, and deployment pipelines (CI/CD).

- Implement robust observability and monitoring systems to proactively identify and resolve issues in production environments.

- Optimize system performance and cost-efficiency in cloud infrastructure (AWS, Azure, GCP).

- Manage technical debt effectively, balancing long-term engineering health with short-term product needs.

- Recruit, onboard, and develop top engineering talent, creating growth paths for team members.

- Drive delivery excellence by setting clear goals, metrics, and expectations, and ensuring timely execution of projects.

- Advocate for secure coding practices and compliance with data protection standards (e.g., OWASP, GDPR).

Requirements :

- 8 to 12 years of experience in full stack development, with at least 2+ years in a technical leadership or people management role.

- Proven expertise in the MERN stack (MongoDB, Express.js, React.js, Node.js) and strong understanding of distributed systems and microservices.

- Hands-on experience designing and scaling high-traffic web applications.

- Deep knowledge of cloud platforms (AWS, Azure, GCP), containerization (Docker), and orchestration tools (Kubernetes).

- Strong understanding of observability practices and tools (Prometheus, Grafana, ELK, Datadog) for maintaining production-grade systems.

- Track record of building and leading high-performing engineering teams in agile environments.

- Excellent communication and stakeholder management skills, with the ability to align technical efforts with business objectives.

- Experience with cost optimization, security best practices, and performance tuning in cloud-native environments.

Bonus : Prior experience in established Product companies or experience with scaling teams in early stage startup and designing systems from scratch.

Work Arrangement :

- Flexible work setup, including hybrid options. Monday to Friday.

What you’ll do

• Build and scale backend services and APIs using Python
• Work on cross-language integrations (Python ↔ PHP)
• Develop frontend features using React (Angular is a plus)
• Deploy, monitor, and manage applications on AWS
• Own features end-to-end: development, performance, and reliability
• Collaborate closely with product, QA, and engineering teams

Tech Stack

• Backend: Python (working knowledge of PHP is a strong plus)
• Frontend: React (Angular is a plus)
• Cloud: AWS
• Version Control: Git / GitHub

Experience

• 
  
• 5–10 years of professional software development experience
• Strong hands-on experience with Python
• Hands-on experience deploying and managing applications on AWS
• Working knowledge of modern frontend frameworks

Review Criteria:

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

Preferred:

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

Role & Responsibilities:

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

The Ideal Candidate Will Be Able To-

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

Ideal Candidate:

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