Senior DevOps Engineer II – Platform & Full Stack Engineering

Description

The role is a hands-on technical position covering CI/CD pipeline engineering, full stack application development, and platform integration, all aimed at fast, automated, and governed software delivery in scalable, compliant environments.

A central part of the work is bringing agentic, AI-supported development into the software lifecycle, with reproducibility, traceability, and compliance built in from the start.

You will build end-to-end solutions across the application and platform layers and keep improving engineering practices, tooling, and delivery standards to meet enterprise IT and regulatory requirements.

The company develops innovative medicines and solutions for immunology, oncology, and neuroscience, and also runs an aesthetics portfolio.

Responsibilities

• Build, run, and refine CI/CD pipelines and automated workflows so that builds, integration, testing, and deployments are reliable and repeatable.
• Develop backend services and frontend components as part of full stack solutions.
• Write modular, testable, and scalable code backed by suitable testing practices.
• Connect and standardize the toolchain across the SDLC, covering version control, build automation, artifact management, and security scanning.
• Measure and tune pipeline and application performance using observability tools.
• Build security, compliance, and quality controls into the work in line with enterprise and regulatory rules.
• Help shape architecture and technical design decisions.
• Apply DevOps and platform engineering methods, including containers and infrastructure as code (IaC).
• Assess new technologies, including AI-assisted development, and adopt the useful ones.
• Lead ongoing improvements to development processes, tools, and standards.
• Write and maintain technical documentation.
• Work with cross-functional and global teams.
• Help put governance, traceability, and validation practices in place for AI-assisted development in a regulated setting.

Requirements

• Required: A bachelor's degree in computer science and 7 years of experience, or a master's degree in CS and 6 years of experience, or a PhD and 2 years of experience.
• Required: Hands-on use of AI-assisted coding tools such as GitHub Copilot, Claude Code, or OpenAI, plus a solid grasp of emerging agentic development workflows.
• Required: Work done on CI/CD pipelines in cloud or hybrid setups.
• Required: Strong backend programming and working familiarity with frontend frameworks.
• Required: Working knowledge of DevOps toolchains and Git-based workflows.
• Required: Experience deploying and supporting containerized applications on Docker and Kubernetes.
• Required: Understanding of SDLC practices, documentation, traceability, and validation in regulated environments.
• Required: Willingness and ability to pick up new technologies.
• Required: Strong communication and collaboration skills.
• Required: A structured, detail-oriented way of working.
• Preferred: Cloud-native development and deployment on AWS or Azure.
• Preferred: Infrastructure as Code work with tools such as Terraform or CloudFormation.
• Preferred: Familiarity with DevSecOps, including vulnerability scanning, secrets management, and secure coding standards.
• Preferred: Building REST APIs, microservices, and modern web apps with frameworks such as.NET, Python, React, or similar.
• Preferred: Use of observability and monitoring platforms such as Datadog, Grafana, Splunk, OpenTelemetry, or similar.
• Preferred: Relevant certifications in DevOps, cloud, Kubernetes, IaC, or DevSecOps, such as AWS Certified DevOps Engineer, Microsoft Certified: DevOps Engineer Expert, CKA, CKAD, CKS, HashiCorp Terraform Associate, or a GitHub Actions certification.
• Preferred: Experience in the pharmaceutical industry.

Conditions

If you are applying to a location with pay disclosure rules under state or local law, the posted range is the base pay the company expects in good faith to pay for this job grade at the time of posting.

Actual pay within that range depends on factors such as geographic location, and the company may pay above or below the range, which may also change over time.

Bonuses, commissions, incentives, and benefits are at the company's sole discretion, may change under applicable law, and are not considered earned pay until actually paid.

The role is eligible for long-term incentive programs.

The company is an equal opportunity employer and welcomes veterans and people with disabilities.

This role is limited to applicants in the US and Puerto Rico.

Benefits

• Eligible employees receive a broad package with paid time off for vacation, holidays, and sick leave, medical, dental, and vision insurance, and a 401(k) plan.