Senior Full Stack Engineer – Cloud & AI Applications

Last date to apply:

10 March 2026

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Senior Full Stack Engineer – Cloud & AI Applications

Job Family: Digital / Software Engineering
Location: Navi Mumbai

Role Overview

We are looking for a highly capable Senior  Full Stack Engineer with strong foundations in front end development, cloud engineering, data pipelines, and modern software architecture, and a growing or established focus on AI-enabled applications.

This role spans frontend development, backend systems, cloud infrastructure, and AI integrations. You will design and build secure, scalable digital products that leverage modern cloud platforms and AI/ML capabilities to drive intelligent workflows and user experiences.

Key Responsibilities

1. Full Stack Application Development

• Design and build scalable web applications using React with strong HTML/CSS fundamentals.

• Develop and maintain robust backend services using Node.js (TypeScript) or Python.

• Design and manage RESTful APIs, including lifecycle management and versioning.

• Implement reliability patterns such as idempotency, retries, structured error handling, and resilient service communication.

• Collaborate closely with product, design, and data teams to deliver high-quality user-facing features.

2. Cloud-native Software Engineering (AWS / Azure)

• Design, deploy, and operate applications on AWS or Azure.

• Build and manage container-based platforms (Docker, Kubernetes).

• Work with compute, storage, database services, networking, and traffic management.

• Implement IAM and least-privilege access control.

• Define and manage infrastructure using Infrastructure as Code (IaC).

• Own CI/CD pipelines, including multi-environment promotion (dev/QA/prod), rollback strategies, and production safeguards.

3. Software Engineering for AI

• Design and operate scalable data pipelines using Databricks or Python-based ETL frameworks.

• Work with PostgreSQL/SQL databases, NoSQL systems, and modern lakehouse architectures.

• Integrate AI/ML services into applications (LLM-based services, embeddings, inference APIs).

• Build systems that support near-real-time data ingestion for AI-enabled workflows.

• Collaborate on AI system observability, evaluation, and monitoring in production environments.

4. Frontend & UI/UX

• Advanced UI architecture patterns (micro-frontends, design systems).

• Strong UX sensibility and experience working closely with product/design teams.

• Performance optimization and frontend observability.

• Experience building AI-driven UI components (chat interfaces, dynamic workflows).

 

5. Security, Governance & Operational Excellence

• Apply security-by-design and zero-trust architecture principles across cloud and APIs.

• Implement OAuth2 / JWT-based authentication and authorization.

• Ensure safe API exposure and external system integration.

• Contribute to monitoring, alerting, incident response, and root-cause analysis.

• Make reliability, performance, and cost-aware engineering decisions.

6. Engineering Practices & Collaboration

• Follow structured Git workflows and strong documentation practices.

• Use agentic AI-supported coding tools responsibly to improve delivery quality.

• Communicate clearly with cross-functional stakeholders.

• (Lead) Define engineering standards and mentor junior engineers.

• (Lead) Drive architectural alignment across frontend, backend, cloud, and AI components.

Required Skills & Experience

• Strong experience as a Full Stack Engineer in production environments.

• Expertise in React, modern JavaScript/TypeScript, and UI integration.

• Strong backend development experience (Node.js/TypeScript or Python).

• Hands-on experience with AWS or Azure, Docker, and CI/CD.

• Experience designing secure, scalable APIs with OAuth2/JWT.

• Solid understanding of cloud networking, IAM, and secure architecture.

• Experience working with structured data systems (PostgreSQL/SQL).

• Strong problem-solving skills and ownership mindset.

 

 

 

Good to Have (Preferred Capabilities)

 

A. Cloud & Platform Engineering

• Deep Kubernetes expertise and production-grade cluster operations.

• Advanced Infrastructure as Code (Terraform/Bicep/CloudFormation).

• Experience with secrets management and network isolation strategies.

• Cost optimization and performance tuning in cloud-native environments.

• Experience operating distributed systems at scale.

C. AI / ML & Agentic Systems

• Experience building or integrating LLM-based applications.

• Knowledge of RAG architectures, embeddings, and vector databases.

• Experience with frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.

• Familiarity with Databricks-based ML pipelines.

• Understanding of MLOps / LLMOps, model lifecycle management, and observability.

• Experience designing multi-agent or agentic workflows.

• NLP or language-centric AI experience.

Who You Are

• You combine strong software engineering fundamentals with modern cloud capabilities.

• You are comfortable moving between frontend, backend, infrastructure, and AI integration.

• You think in systems, not just features.

• You take ownership from design to production.

You are pragmatic and and able to make sound architectural trade-offs.