Senior DevOps Engineer

Job summary

The Senior DevOps Engineer builds and operates the infrastructure, deployment, and reliability foundation for a platform supporting sensitive biopharma and life sciences due diligence and valuation workflows. The role covers AWS infrastructure as code, CI/CD for frontend, backend, and machine learning services, Grafana observability, incident response, security, cloud cost optimization, and data infrastructure reliability.

Benefits

Qualifications

• Production cloud infrastructure experience, including networking, compute, storage, and identity and access management.
• Hands-on experience with Terraform, CloudFormation, or similar infrastructure-as-code tools.
• Experience building CI/CD pipelines and automating build, test, and deployment workflows.
• Experience implementing monitoring, logging, and alerting, and using them to improve detection and recovery times.
• Familiarity with DORA metric tracking.
• Experience with relational and NoSQL databases, including backup, replication, and performance considerations.
• Knowledge of secure infrastructure, secrets management, and compliance practices.
• Proficiency in at least one scripting or programming language, such as Python, Bash, or Go.
• Strong problem-solving, analytical, communication, and collaboration skills.
• Ability to work autonomously, take ownership, and present security architecture to client security teams.

Responsibilities

• Design, build, and maintain scalable, reproducible cloud infrastructure using infrastructure-as-code tools.
• Build and maintain CI/CD pipelines for frontend, backend, and machine learning orchestration services.
• Implement monitoring, logging, and alerting to provide visibility into system health.
• Establish reliability practices, uptime targets, service-level objectives, incident response, on-call rotations, and post-incident reviews.
• Implement infrastructure security practices, including network security, secrets management, access controls, and data protection.
• Monitor and optimize cloud spending and system performance.
• Partner with engineering to scale databases and data pipelines, and manage backups, disaster recovery, and performance tuning.
• Build developer tooling and self-service deployment, testing, and debugging workflows.
• Collaborate with software engineers, machine learning engineers, product leads, and domain experts on infrastructure investments.

Skills

Degrees

Languages

Work schedule

Industry

Relocation