Role at a glance
- Salary
- Not Disclosed
- Location
- Bangalore, India
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
Develops Python- and PowerShell-based automation frameworks for enterprise builds, Python packaging, and secure artifact publishing. The role supports compliant, traceable, and reproducible software distribution and works across Engineering, DevOps, Security, and CI/CD.
What You'll Do
- Design and refactor Python components, including reliable error handling and propagation across scripting environments.
- Establish code quality practices, test strategies, and coverage gates, and build PowerShell scripts with Pester unit tests.
- Automate Python packaging and build artifact generation using PyPI and Conda standards.
- Collaborate with Development and CI/CD teams to automate artifact publishing and enforce compliance standards.
- Perform security-focused code reviews and implement automated scanning, CVE monitoring, SBOM management, and secure secrets integration...
- Maintain documentation and troubleshoot packaging and dependency workflows.
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View full postingQualifications
Required: Strong Python and PowerShell scripting; Anaconda/Miniconda and conda package management; build automation and configuration file generation; Python packaging standards including pyproject.toml, conda-build, and meta.yaml; CI/CD for Python integration (preferably Jenkins) and artifact publishing; secure CI/CD practices including safe secrets integration, signed artifacts, hardened pipelines, and hardened base images; Docker; observability through monitoring, logging, and alerting; SBOM concepts, software licensing, and vulnerability management; strong troubleshooting and attention to detail; security-focused code reviews, threat awareness, automated SCA/CVE scanning, and SBOM generation/management.
Preferred
- Experience in scientific, engineering, or highly regulated industries.
- Python code quality practices for automation scripts, including linting (Pylint/Flake8) and static typing (mypy).
- Familiarity with Windows process management and scripting environments.
- Experience supporting enterprise software distribution.
- Exposure to Agentic AI concepts, including practical usage of GitHub Copilot (GHCP) or similar AI-assisted development tools to enhance...
- Experience working in an agile environment like SAFe, using Jira.
- Preferred: BTech degree in Computer Science, Electronics, or a related technical field (or equivalent practical experience).
- Preferred: Experience operating in regulated or security-focused environments requiring auditability and traceability.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Work Schedule
First Shift (Days)Environmental Conditions
OfficeJob Description
Job Title
Python DevOps Engineer (Build & Secure Packaging)
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
Work on backend platform software that powers advanced scientific instruments used in semiconductors, life sciences, and materials research. We are seeking a Python DevOps Engineer with 6–10 years of professional experience to develop secure, reliable automation frameworks based on Python, supported by PowerShell environments.
This role supports enterprise build automation, Python packaging, SBOM integration, and secure artifact publishing within a regulated environment. The position operates at the intersection of Engineering, DevOps, and Security to ensure compliant, traceable, and reproducible software distribution.
What will you do
Design and implement scalable Python components, refactor them strategically. Ensure reliable error handling and propagation across scripting environments.
Safeguard Code Quality, builds test strategy; enforces coverage gates
Automate Python packaging and build artifact generation using PyPI and Conda standards. Ensure security, traceability, and compliance with distributed Python packages.
Builds robust PowerShell scripts, including unittests (using Pester).
Collaborate with Development and CI/CD teams to automate artifact publishing and enforce compliance standards.
Maintain documentation and support troubleshooting of packaging and dependency workflows.
On Cyber Security, perform security code reviews, threat awareness. Implements automated scanning (SCA, CVE monitoring); manages SBOM. Integrate secrets into CI/CD securely .
Effectively contributes to planning and execution by delivering well-defined, traceable assignments, aligned with team objectives.
Required Skills
Strong Python and PowerShell scripting expertise.
Experience with Anaconda/Miniconda and conda package management.
Experience in building automation and configuration file generation.
Experience with Python packaging standards (pyproject.toml, conda-build, meta.yaml).
Experience with CI/CD for python integration (preferably Jenkins) and artifact publishing workflows.
Ensures secure CI/CD by integrating secrets safely, enforcing signed artifacts and hardened pipelines, and hardening base images to minimize attack surface.
Experience in Containerization using Docker.
Experience implementing observability (monitoring, logging, alerting) to support reliability and operational excellence.
Understanding SBOM concepts, software licensing, and vulnerability management.
Strong troubleshooting skills and attention to detail.
Drives DevSecOps outcomes through security-focused code reviews and threat awareness, automated scanning (SCA/CVE monitoring) with SBOM generation/management.
Desirable Skills
Experience in scientific, engineering, or highly regulated industries.
Apply strong Python code quality practices for automation scripts, including linting (Pylint/Flake8) and static typing (mypy).
Familiarity with Windows process management and scripting environments.
Experience supporting enterprise software distribution.
Exposure to Agentic AI concepts, including practical usage of GitHub Copilot (GHCP) or similar AI-assisted development tools to enhance automation, scripting, and developer productivity.
Experience working in an agile environment like SAFe, using Jira.
Preferred Qualifications
BTech degree in Computer Science, Electronics, or a related technical field (or equivalent practical experience).
Experience operating in regulated or security-focused environments require auditability and traceability.
About the company
Thermo Fisher Scientific
Large Enterprise
Thermo Fisher Scientific is a global leader in serving science, providing a wide range of analytical instruments, reagents, and software solutions for healthcare, pharmaceuticals, and life sciences research. With a commitment to innovation and quality, the company enables customers to make significant advancements in scientific discovery and healthcare diagnostics. Thermo Fisher operates in more than 50 countries and employs over 80,000 people, fostering a collaborative environment aimed at enhancing global health and safety. Through its broad portfolio of brands and technologies, the company plays a vital role in accelerating life-changing research and improving patient outcomes worldwide.