Software Engineer - Fullstack
Roche · Hyderabad
- Experience8–12 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelexecutive
- Posted2 Sept 2026
About Roche
Roche is hiring in Hyderabad in pharma biotech. This role looks for around 8+ years of experience.
Skills
- Python
- TypeScript
- AWS
- Docker
- Terraform
- React
- Angular
- CI/CD
- Microservices
- REST API Design
- Generative AI
- Model Context Protocol
- Snowflake
- OpenSearch
- Test-Driven Development
- Identity and Access Management
- Responsible AI
The role
A full stack developer at a pharmaceutical technology company builds AI / ML Engineer solutions with Python, TypeScript, and AWS. Generative AI Engineer work connects LLM-powered applications to real-time interfaces and secure enterprise systems.
Full job description
Requirements:
7+ years of strong software engineering experience with a demonstrable focus on backend development, cloud infrastructure, advanced frontend architecture, and DevOps.
AI Integration Experience: Proven experience building backends for complex solutions and LLM-powered applications, managing streaming responses, and translating non-deterministic AI outputs into safe, functional user interfaces.
Agentic Workflow: Proven experience leveraging AI coding agents within an agentic SDLC to accelerate feature delivery.
Hold a B. Sc., B. Eng., M. Sc., M. Eng., PhD, or equivalent in Computer Science, Software Engineering, or a related field.
Be a passionate builder, staying continuously up-to-date with the latest developments in cloud computing, backend architectures, frontend paradigms, and AI integrations.
Be team-oriented, proactive, and collaborative, thriving in a fast-paced environment where roles are fluid and multidisciplinary.
Have a deep sense of accountability, capable of diagnosing complex system-level issues across the entire stack, and able to step into a Tech Lead role when necessary.
Technical Skills:
Frontend and User Interface: Deep expertise in TypeScript and a major framework (React/Next.js or Angular 16+). Strong capability in complex state management and handling real-time data flow.
Backend Programming: Advanced, production-grade proficiency in Python. Excellent enterprise API design and microservices architecture skills.
Cloud and DevOps: Deep expertise in AWS (IAM, Lambda, S3 ECS, etc. ), Docker, CI/CD tools (e. g., GitHub Actions), and Terraform.
Data and AI Tooling: Experience integrating with modern databases (Snowflake, OpenSearch). Familiarity with the Model Context Protocol (MCP), graph databases and Generative UI libraries.
Software Engineering Best Practices: Robust automated testing (TDD) to verify both code written by AI agents and dynamic UI components generated at runtime.
Additional Qualifications:
Security Mindset: Strong understanding of enterprise security risks, IAM, and safe data handling, along with a strong understanding of responsible AI deployment.
Communication: Be an excellent problem solver, detail-oriented, and a great communicator, able to present complex technical matters clearly to diverse audiences. Be able to communicate in English at the level of C1+.
Working Hours: Be ready to span work times across the Central European Timezone on occasion, when necessary.