Senior DevOps Engineer

• Design, build, automate, and operate Azure-based cloud infrastructure and platform services using Infrastructure as Code (e.g., Terraform, Pulumi), delivering repeatable, scalable, governed, and auditable environments that support data, engineering, and AI/ML workloads.

• Develop and maintain secure, reliable CI/CD pipelines and self-service platform capabilities that enable data scientists and engineers to provision compute, data, and machine learning resources efficiently, accelerating delivery while reducing the need for deep infrastructure expertise.

• Embed security, compliance, data governance, quality, and operational best practices into platform architecture by design, while building and maintaining observability, monitoring, alerting, and platform support capabilities to ensure resilience and operational excellence.

• Evaluate, recommend, and implement emerging technologies, tools, and services to continuously improve platform capabilities, performance, scalability, and alignment with evolving business and technical needs.

• Partner closely with platform leadership, platform engineers, and internal customer teams to translate requirements into well-engineered solutions, while contributing to technical standards, documentation, engineer onboarding, and a culture of technical rigor, collaboration, and continuous learning.

The essential requirements of the job include: 

• 3+ years of software, platform, or infrastructure engineering experience, including exposure to data and/or AI/ML infrastructure work; CS/Engineering degree or equivalent practical experience. 

• Hands-on experience with at least one major cloud platform (AWS or Azure), including its core compute, networking, storage, and identity services. 

• Working experience with Infrastructure as Code (e.g., Terraform / Pulumi), CI/CD tooling (e.g., GitHub Actions, GitLab CI, etc), and containerization/orchestration (Docker, Kubernetes), with proficiency in at least one language (Python, Go, Bash) for automation and tooling. 

• Solid security and networking fundamentals for provisioning secure cloud resources, and experience operating production systems: monitoring, observability, incident response, and reliability practices. 

• Ability to own and deliver well-scoped platform components end to end, working independently within established architecture and standards and partnering effectively across teams. 

Travel, Motor Vehicle Record & Physical/Environment Requirements:  

• Ability to travel – up to 10%. 

It would be a plus if you also possess previous experience in: 

• Life sciences, diagnostics, or biotechnology (e.g., partnering with R&D, quality, clinical, manufacturing, or commercial teams) 

• Data and engineering practices in industries governed by regulatory standards (e.g., HIPAA, GxP), compliance frameworks (e.g., SOX), and rigorous data governance requirements. 

• Working in a matrixed environment. 

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