Engineer III, Software

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Thermo Fisher Scientific is seeking a DevOps Engineer to define and advance secure, reliable, scalable, and automated platforms supporting mission-critical products.

This role combines Linux systems engineering, software packaging and distribution, AWS architecture, platform engineering, infrastructure automation, CI/CD, security, networking, and production support . This role provides technical leadership across teams while remaining hands-on in solving complex technical and operational challenges.

Key Responsibilities

Cloud, Infrastructure, and Networking

Manage and secure highly available, scalable, and cost-efficient AWS platforms.

Design and govern VPCs, subnets, routing, Transit Gateway, VPC endpoints, DNS, VPN, Direct Connect, and hybrid connectivity.

Design firewall and traffic-control solutions using AWS Network Firewall, security groups, network ACLs, and related technologies.

Build reusable Terraform modules and automated provisioning workflows for multi-account and multi-environment deployments.

Establish standards for Terraform state management, testing, code review, drift detection, policy enforcement, and controlled changes.

Architect and operate enterprise CI/CD platforms using Jenkins, GitHub Actions, and related tools.

Automate Jenkins jobs, shared libraries, pipeline templates, build workflows, release gates, and deployment processes.

Automate software packaging, validation, artifact publishing, promotion, and deployment.

Build, maintain, and troubleshoot Linux software packages, with particular emphasis on Debian-based package formats and distributions.

Develop and maintain package bundling, installation, upgrade, rollback, dependency management, and software distribution workflows.

Use configuration management and infrastructure automation tools such as Ansible, Chef, or Puppet to automate system configuration, software installation, and environment management.

Use Git and CI/CD tools to build, test, validate, package, and release software reliably.

Lead Linux platform engineering across on-premise and cloud environments, with strong hands-on experience in Debian and Debian-derived distributions such as Ubuntu.

Apply strong knowledge of Linux internals, system services, process management, permissions, networking, storage, file systems, package management, and dependency management.

Define containerization and orchestration strategies using Docker, Kubernetes, and Amazon EKS.

Improve reliability through observability, monitoring, alerting, capacity planning, resilience engineering, and automation.

Establish security standards for IAM, encryption, secrets management, vulnerability management, logging, compliance, and least privilege.

Mentor engineers through coaching, documentation, design reviews, and knowledge sharing.

Required Experience

6-10+ years of experience in Linux Systems Engineering, DevOps, Platform Engineering, Cloud Engineering, AWS, or a related technical role.

Strong hands-on Linux systems engineering and administration experience, particularly with Debian and Debian-derived distributions such as Ubuntu.

Deep understanding of Linux internals, system services, process management, permissions, networking, storage, file systems, troubleshooting, and system configuration.

Hands-on experience with Linux software packaging and package bundling, including building, maintaining, troubleshooting, and distributing Debian ( .deb ) packages.

Strong understanding of Debian package management and dependency management, including APT and dpkg.

Experience with configuration management and automation tools such as Ansible, Chef, or Puppet.

Proven experience architecting and operating enterprise AWS platforms.

Strong expertise in Terraform, Infrastructure as Code, AWS networking, security, firewalls, and hybrid connectivity.

Experience designing and automating Jenkins and GitHub Actions CI/CD pipelines, builds, packaging, and deployments.

Experience with Git, Docker, Kubernetes, and container platforms.

Experience with scripting languages such as Bash or Python for troubleshooting and automation.

Strong troubleshooting and root cause analysis skills across Linux systems, infrastructure, networking, and software deployments.

Proven ability to lead cross-functional initiatives, manage production incidents, communicate effectively, and mentor engineers.