DevSecOps Engineer
Confirmed live in the last 24 hours
Axle Informatics
Job Description
(ID: 2025-1349)
Axle Informatics is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations around the globe. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with premier research organizations and facilities including multiple institutes at the National Institutes of Health (NIH) and other public and private organizations.
Benefits We Offer:
- 100% Medical, Dental & Vision Coverage for Employees
- Educational Benefits for Career Growth
- Paid Time Off (Including Holidays)
- Employee Referral Bonus
- 401K Matching
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
Overview
The DevSecOps Engineer supports the secure, scalable, and reliable operation of our cloud-native infrastructure. This role bridges development, security, and operations to manage production Kubernetes environments, strengthen infrastructure security, and drive automation across the technology stack. The ideal candidate brings a security-first mindset, strong operational expertise, and the ability to design and refine efficient, resilient systems through infrastructure-as-code, monitoring improvements, and modern DevSecOps best practices.
Duties/Responsibilities
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Manages production Kubernetes clusters and Helm deployments to ensure stability, scalability, and performance.
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Maintains and optimizes Docker-based containerized environments, including multi-container orchestration.
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Identifies, assesses, and remediates security vulnerabilities across cloud and containerized systems.
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Implements monitoring, logging, and alerting systems to support observability and operational excellence.
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