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 solid 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.

📌 Senior Full Stack Engineer Cloud & AI Applications (Mumbai)
🏢 Husqvarna Group
📍 Mumbai