Engineering Manager – DevOps, DevSecOps & VM Infrastructure Platforms; Python

Position: Engineering Manager – DevOps, DevSecOps & VM Infrastructure Platforms (Python)
Location: Bengaluru

This job is with Thermo Fisher Scientific, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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  Dev Ops  (CI/CD, containers, IaC, monitoring/logging),  Dev Sec Ops   (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, Dev Ops 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.

Dev Ops 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 Git Lab, 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.

Dev Sec Ops  & 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, Defect Dojo, 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 Dev Ops 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  Git Hub 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.

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