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$ cat jobs/devsecops-engineer-orion-innovation-9b0a012ddc26.json

DevSecOps Engineer

orion innovation·US·United States·mid
ci/cd
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Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Description: DevSecOps Engineer to strengthen our software development lifecycle by embedding security practices into every stage of delivery. This role will work across development, operations, and security teams to ensure applications and infrastructure are secure, compliant, and resilient, while maintaining speed and efficiency in deployment. The ideal candidate will be responsible for streamlining our development and operational processes, ensuring efficient deployment and management of applications in cloud environments. This role requires a strong understanding of cloud computing, IT infrastructure, and software development practices. You will work closely with development teams to implement CI/CD pipelines, manage cloud resources, and enhance system performance. Key Responsibilities: • 10 years’ experience in the performance of Release management in DEV/SIT/CAT/PROD environments for major/minor releases, patches and upgrades • Ability to Create/ manage/support Continuous Integration/Continuous Delivery (CI/CD) pipeline; • 10 years’ experience in the support of and to provide code promotion and monitoring; and Support data fixes as required. • 3 years’ experience with Copilot and /or any AI-enabled tasks to convert manual tasks into automated workflows • Demonstrated expertise in AI technologies, methodologies, frameworks, tools, and enterprise AI implementation practices. • Integrate existing automati

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