Engineering Manager - DevOps, DevSecOps and Virtual Machine Infrastructure Platforms

Engineering Manager – DevOps, DevSecOps & VM Infrastructure Platforms (Python)

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Description

When you join us at Thermo Fisher Scientific, you’ll become a member of a hard-working, motivated team that aligns with your enthusiasm for exploration and discovery. With revenues exceeding $40 billion and the largest investment in R&D in the industry, we provide our people with resources and opportunities to make significant contributions to the world.

How will you make an impact

Microscopy is evolving rapidly, and customers expect faster results, stronger security, and more reliable remote operation—driving upgrades across compute, connectivity, peripherals, and software tooling. We’re seeking an Engineering Manager (10–15 years) to lead a multi-disciplinary team delivering enterprise-grade platforms across DevOps (CI/CD, containers, IaC, monitoring/logging), DevSecOps (SBOM, SAST, secret scanning, CI/CD security automation), and VM infrastructure automation (lifecycle management and CI-based provisioning). You’ll partner with QA, Automation, Infrastructure, Security, and Product Engineering to build scalable, secure, and dependable delivery platforms while raising engineering maturity and operational excellence.

What will you do

People Leadership & Delivery Ownership

• Lead, coach, and grow a team of engineers across automation, DevOps tooling, and infrastructure automation.
• Own roadmap planning and delivery across platform domains, balancing feature velocity with reliability and technical debt reduction.
• Establish strong engineering standards: design reviews, code quality gates, CI enforcement, testing discipline, documentation, and operational readiness.
• Build a culture of accountability, observability, and continuous improvement.

DevOps Delivery

• Proficiency in scripting and automation using Python and Bash to build reliable tooling and workflows.
• Hands-on experience designing and maintaining CI/CD pipelines using Jenkins and GitLab, including build, test, and deployment automation.
• Strong experience with containerization and orchestration using Docker and Kubernetes to enable reproducible environments and scalable execution.
• Experience with Infrastructure as Code (IaC) using Terraform and Ansible for consistent provisioning and configuration management.
• Working knowledge of monitoring, logging, and alerting using tools such as Prometheus and Grafana to support operational visibility and incident response.
• Proficient with version control systems (e.g., Git), including branching strategies and collaboration workflows.

DevSecOps & Secure Software Delivery

• Lead integration of security controls into CI/CD pipelines, including:
  • SBOM generation and quality improvement
  • Secret scanning
  • SAST integration
• Define measurable KPIs for SBOM coverage, dependency completeness, and vulnerability ingestion.
• Oversee automated publishing of security findings into centralized systems (e.g., Dependency-Track, DefectDojo, or equivalent).
• Partner with Security to improve remediation workflows, signal quality, and compliance reporting.

VM Infrastructure & Distributed Automation

• Provide architectural oversight for VM lifecycle management platforms, including:
• Guide implementation of message-driven systems (e.g., RabbitMQ/AMQP) for VM operations and automation tasks.

Desirable Skills

• Experience managing teams building developer platforms or internal infrastructure products.
• Strong background in Python-based automation platforms and DevOps tooling.
• Drive architecture and scalability of automation frameworks supporting reliable end-to-end execution and platform quality.
• Focus on automation reliability, maintainability, and scalable execution rather than test case authoring.
• Guide implementation and adoption of BDD-based automation frameworks, including reusable step libraries and structured test data standards.
• Experience scaling cross-functional engineering teams in complex enterprise ecosystems.
• Exposure to AI-assisted engineering practices, including GitHub Copilot (GHCP) or similar tools.

Preferred Qualifications

• BTech degree in Computer Science, Electronics, or a related technical field (or equivalent practical experience).
• At least 3 years of experience in leading Software Engineering teams.
• Experience operating in regulated or security-focused environments require auditability and traceability.

Experience Level

Mid Level