Senior Principal Forward Deployed DevSecOps Engineer
GSK (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 38–60 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of digital lab products by collaborating with scientists, product owners, and data teams to automate and orchestrate lab workflows and reduce manual effort.
- Own end-to-end engineering including prototyping, production deployment, DevSecOps, security, monitoring, and cloud infrastructure to enable frequent, reliable releases in a regulated environment.
- Mentor other engineers, contribute reusable patterns, and integrate AI-native engineering practices such as agentic workflows and GenAI in software solutions for lab automation and decision support.
Minimum Requirements
- Minimum 8 years of software, data, or AI/ML engineering experience with leadership or ownership of production systems.
- Strong proficiency in Python plus at least one of TypeScript/JavaScript, Go, Java; solid API integration and cloud engineering experience.
- Hands-on experience with GenAI (agents, multi-agent workflows, retrieval-augmented generation) and DevSecOps including CI/CD pipelines, automated testing, and security scanning.
- Experience with cloud platforms (Azure, GCP, or AWS), infrastructure as code (Terraform), container orchestration (Kubernetes/Helm), and working in regulated environments with GxP, security, privacy, quality, and compliance requirements.
Ideal Candidate Profile
- Experienced engineer capable of fast prototyping and full ownership from discovery through production in regulated life sciences R&D settings.
- Strong cross-functional collaborator who can translate scientific and product needs into technical solutions integrating lab automation, data engineering, and AI.
- Skilled in building reusable engineering patterns and mentoring peers, with familiarity working across distributed teams and integrating AI coding tools in development workflows.