DevOps Engineer Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D

Overview

Senior DevOps and Cloud Engineer role within the Clinical Submission Data and Content Generation & Reuse function in Pharma R&D, leading the cloud architecture and MLOps/DevOps foundation for agentic AI platforms that automate regulatory submission workflows.

What you'll do

• Architect and deploy scalable infrastructure from scratch for greenfield AI-driven clinical authoring products with minimal initial guidance.
• Optimize and automate cloud and platform services, manage infrastructure using IaC principles, and implement robust security and monitoring practices.
• Establish end-to-end observability (tracing, metrics, logging) to reduce mean-time-to-resolution (MTTR) for critical submission pipelines.
• Challenge the status quo and identify process gaps at the company level, bringing in outside best practices to improve current methodologies.
• Prioritize and communicate effectively with stakeholders, maintaining a bigger-picture view of how technical components fit into product strategy and organizational goals.
• Act as a technical mentor to junior engineers and actively share knowledge in internal and external events (e.g., DevOps Days, Tech Talks).
• Align personal and team development plans with the global strategy and participate in initiatives reaching outside the regular project scope.
• Operate at the Product or Site level, managing complex infrastructures, CI/CD pipelines, and scripts for large workloads and products in Production environments.
• Formulate and implement technical strategies aligned with organizational objectives while maintaining the highest engineering quality.

What you'll need

• Demonstrated experience in Production environments managing large workloads and products across traditional and cloud application architectures (Serverless, Kubernetes, Cloud DB Services).
• Proven track record of mentoring junior engineers, fostering good collaboration, and skillfully navigating group dynamics.
• Experience identifying gaps in Agile and DevOps principles at the company level and successfully implementing external best practices.
• Core stack: AWS, Kubernetes, Terraform, Python, GitHub Actions/GitLab CI, Grafana/ELK.
• Advanced knowledge of at least one programming language (Python, JavaScript) and advanced terminal skills (Bash/PowerShell scripting, networking tools, process monitoring).
• High proficiency in Infrastructure as Code (Terraform, CDK, CloudFormation), advanced Docker containerization, and Version Control (Git), with the ability to troubleshoot complex issues and implement best practices.
• Expertise in CI/CD platforms (GitLab CI, Jenkins, or GitHub Actions) and advanced monitoring, logging, metrics, and tracing tools (Elastic Stack, Grafana).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of cloud networking concepts including VPC/VNet, subnets, routing, DNS, firewalls/security groups, load balancers, and private connectivity.
• Strong communication and stakeholder management skills, with the ability to adjust communication styles based on the audience.
• Proactive mindset dedicated to continuous improvement, identifying technical opportunities, and independently leading complex troubleshooting efforts across multiple teams.

Nice to have

• Multi-cloud routing, Jaeger/tracing, Rust/JS.
• Familiarity with GxP compliance, CSV (Computer Systems Validation), or automated compliance testing within CI/CD pipelines.
• Experience supporting data/ML workloads (e.g., orchestrating vector databases, managing GPU-backed Kubernetes nodes, or deploying MLOps/LLMOps pipelines).

Details

• Location: Hyderabad.
• Shift: CET time zone.