Digital R&D Software Engineering Lead
Skills
About the role
Job Title: Digital R&D Software Engineering Lead
Location: Hyderabad
Job type: Permanent, Full time
About the Team
We are an innovative global healthcare company driven by one purpose - to chase the miracles of science to improve people’s lives. With a presence in over 100 countries, our teams are dedicated to transforming the practice of medicine and turning the impossible into the possible. We deliver life-changing treatments and life-saving vaccines to millions worldwide, while embedding sustainability and social responsibility at the heart of everything we do.
Sanofi has embarked on an ambitious digital transformation journey, with a strong focus on accelerating data-driven innovation and the adoption of Artificial Intelligence (AI) and Machine Learning (ML) to enhance R&D, manufacturing, and commercial performance. This transformation aims to bring breakthrough medicines and vaccines to patients faster and more efficiently.
Join our team as a Software Engineering Lead and play a key role in advancing engineering excellence across Digital R&D. You’ll contribute to shaping Sanofi’s global digital future, collaborating closely within our expanding Hyderabad hub.
About the Role
At Sanofi, we are driven by one purpose: to chase the miracles of science and improve people’s lives. We are seeking a Software Engineering Manager to drive the architecture, development, and delivery of scalable, secure, and high-performance applications across our digital R&D platforms. In this role, you will provide technical leadership, mentor multiple pods/teams, promote innovation, and ensure compliance with regulatory and quality standards - all while contributing to Sanofi’s mission of delivering life-changing therapies and vaccines to patients worldwide.
Key Responsibilities
Application Design & Development: Lead design and development of enterprise-scale applications and services, including complex full-stack solutions with scalable frontends, robust backend services, and optimized APIs.
Technical Delivery & Collaboration: Partner with Design, Data Science, Product, and Platform teams to deliver end-to-end solutions using agile methodologies; contribute to architectural discussions and technical solution discovery.
Quality, Security & Standards: Ensure software quality, implement security-by-design, and maintain compliance with GxP, Data Privacy, and regulatory requirements; establish reusable component libraries and development standards.
DevOps & Cloud Engineering: Drive CI/CD pipelines, containerization, cloud deployment (AWS), monitoring, and automation to optimize delivery and operational efficiency.
Mentorship & Team Leadership: Mentor junior and mid-level engineers, manage multiple pods/teams, foster knowledge sharing, and promote a culture of innovation and technical excellence.
Continuous Improvement & Innovation: Stay current with emerging technologies, propose process improvements, lead proof-of-concepts, and contribute to innovation initiatives.
Required Skills & Qualifications
Bachelor’s or master's in computer science, Engineering, or related field.
10+ years of professional software engineering experience with leadership in full-stack development and enterprise-grade applications.
Working with LLM & Agentic AI Systems.
Design and implement: RAG pipelines, AI agents, multi-agent orchestration, Tool calling systems, Memory frameworks, Autonomous workflows.
Build prompt engineering and evaluation frameworks.
Integrate external APIs, MCP servers, vector databases, and enterprise tools.
Having good implementation knowledge of LLM Frameworks Lang Chain, Lang Graph, Llama Index, Agent Core, Vector Databases, AWS Bedrock, Sage maker, MCP servers, A2A protocol.
Strong expertise in React.js, Python, Node.js, FastAPI, microservices, RESTful APIs, Decoupled System Designs, WebSocket implementations.
Experience with CI/CD, AWS services (EC2, Lambda, S3 RDS etc.), containerization (Docker/Kubernetes), cloud-native applications, and DevOps practices.
Version control tools GitHub, Branching strategies
Knowledge of software design principles, distributed systems, security, and regulatory compliance (GxP, GDPR).
Proven ability to mentor teams, manage multiple pods, and drive cross-functional collaboration.
Strong communication, problem-solving, and stakeholder management skills.
Experience in healthcare or life sciences domain is a plus.
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