Husqvarna Group
Website:
husqvarnagroup.com
Job details:
Last date to apply:
10 March 2026
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
- 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.
- 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.
- 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.
- 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).
- 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.
- 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)
- 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.
- 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.
Click on Apply to know more.