Senior Python Engineer
InteticsLithuania • Lithuania
Posted September 28, 2025
Full Time
About the Company
Intetics Inc. is a leading U.S.-based technology company providing custom software development, distributed professional team formation, product quality assessment, and “all-things-digital” solutions powered by AI/ML, SMAC, RPA, IoT, blockchain, and GIS/drone/LBS technologies. Leveraging our proprietary business models of Offshore Dedicated Team® and Remote In-Sourcing®, an advanced Technical Debt Reduction Platform (TETRA™) and SLA-based software engineering, we enable innovative organizations to access global tech talent and deliver predictable, high-quality outcomes through our Predictive Software Engineering framework. For over 30 years, Intetics has consistently exceeded client expectations, earning ISO 9001 (quality) and ISO 27001 (security) certifications, and recognition as a Microsoft Gold, Amazon AI Competency, and UiPath Silver partner. Our commitment to innovation and excellence is reflected in numerous industry accolades, including Inc 5000, Software 500, CRN 100, American Business Awards, Deloitte Fast 50, European IT Excellence, Stevie People’s Choice, Clutch, ACQ5, and listings on the IAOP Global Outsourcing 100 and Fortune Innovative 300. Learn more at https://intetics.com
Job Description
Intetics Inc. is seeking a highly skilled Senior Python Engineer to join a dynamic team developing a unified platform for vulnerability, threat, and asset data management. The platform aims to streamline risk-based vulnerability management and enhance security outcomes through integration of data from over 150 security tools. The role involves building scalable automation systems and designing internal developer tools.
Requirements
- 5+ years of experience in Software Engineering, DevOps, or build engineering roles.
- Strong Python development experience.
- Experience with containerization and automation tooling, especially Docker.
- Prior experience building CI/CD automation using GitHub Actions, Bitbucket Pipelines, Jenkins, or similar platforms.
- Experience working in Linux environments.
- Ability to independently scope, design, and build scalable automation systems.
- Demonstrated interest or experience in AI tooling or intelligent automation.