Full-Stack Software Engineer (Frontend, Backend & Cloud) – Applied & Agentic AI Systems

F. Hoffmann-La Roche AG; Hyderabad; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Roche Digital Technology is seeking a highly skilled Full-Stack Software Engineer to cover frontend UI, backend architecture, cloud deployment, and DevOps. You will build robust interfaces, scalable backends, and secure infrastructure to support AI-driven solutions in healthcare.

The role involves working in small agile teams and collaborating across disciplines. Requirements include 7+ years in software engineering, strong Python backend and frontend expertise, and experience with AWS,

Qualifications

• 7+ years of software engineering with backend, cloud, frontend, and DevOps focus.
• Experience building backends for AI/LLM-powered solutions and streaming outputs.
• Experience using AI coding agents within an agentic SDLC is a plus.
• Degree in CS/Software Engineering or related field.

Responsibilities

• Develop scalable frontend components with TypeScript in React/Next.js or Angular 16+.
• Design and build scalable Python backends and APIs for multi-agent workflows.
• Implement AWS-based secure cloud infrastructure and Terraform IaC.
• Lead code reviews for human and AI-generated code.

Skills

Frontend UI

Backend API design

Cloud deployment

DevOps

Python

TypeScript

React/Next.js

Angular 16+

AWS

Docker

Terraform

CI/CD

OpenAI/LLM integration

MCP (Model Context Protocol)

Snowflake/OpenSearch

English communication

Education

B.Sc./B.Eng./M.Sc./M.Eng./PhD in CS/SE or related

Tools

Snowflake

OpenSearch

GitHub Actions

Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position Job description

We are looking for a highly skilled, deeply hands-on Full-Stack Software Engineer who will cover frontend UI, backend architecture, cloud deployment, and DevOps engineering all under one hat. Since our team already includes dedicated AI Engineers and Data Engineers, your primary mission is to be the foundational software engineering anchor: building the robust, scalable, and secure user interfaces, infrastructure, integrations, and server-side logic that allows our AI solutions to thrive in a production environment.

Description of the area

At Roche Digital Technology, we are advancing the boundaries of Applied AI. As part of our strategic initiatives, we are enabling high-value AI solutions spanning advanced agentic frameworks, Generative AI applications, and classical Machine Learning. The Applied AI Engineering Team is tasked with building these innovative AI applications end-to-end to solve complex business challenges in healthcare. In the 2026 tech landscape, the lines between traditional disciplines have blurred. We operate in small agile teams (e.g., ~6 members) powered by advanced coding agents (like Claude Code) to develop and ship solutions faster than ever before (Agentic SDLC).

Job Responsibilities

• Frontend Architecture & Generative UI: Develop highly scalable, reusable UI components using expert-level TypeScript and modern frameworks (React/Next.js or Angular 16+). Shift from static layouts to flexible, dynamic interfaces that gracefully handle unpredictable data and real-time LLM streams.
• Core Backend Engineering & API Design: Design and build highly scalable, reusable backend services and APIs (using Python) that serve as the backbone for multi-agent workflows and GenAI applications. Build, host, and secure Model Context Protocol (MCP) servers and standard APIs to standardize data exchange.
• Cloud Architecture & DevOps Excellence: Design, implement, and manage secure and scalable cloud infrastructure (primarily AWS) tailored for diverse AI workloads. Apply Infrastructure-as-Code (IaC) practices using Terraform. Build, maintain, and optimize fully automated CI/CD pipelines and manage application containerization (Docker).
• Agentic SDLC & Engineering Excellence: Leverage AI coding assistants and autonomous agents (e.g., Claude Code, Ona) daily to accelerate full-stack development cycles. Conduct rigorous code reviews for both human-written and AI-generated code.

Qualifications / Education / Experience

• Experience: 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 & 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 & DevOps: Deep expertise in AWS (IAM, Lambda, S3, ECS, etc.), Docker, CI/CD tools (e.g. GitHub Actions), and Terraform.
• Data & 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.
• 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.

#Hyderabad2026

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.