DevOps Platform Engineer
PRI Global
DevOps Platform Engineer
12 Months Contract
Arlington, VA
Required:
- Strong programming experience in one or more modern languages such as C#, Java, Python, Go, or JavaScript/TypeScript.
- Experience designing and building scalable applications, APIs, distributed systems, and cloud-native services.
- Strong understanding of DevOps practices, CI/CD pipelines, and deployment automation using tools such as Jenkins, GitHub Actions, or similar technologies.
- Hands-on experience with cloud platforms such as AWS and/or Azure.
- Experience with Docker, Kubernetes, Infrastructure as Code, and modern platform engineering practices.
- Experience developing internal platforms, frameworks, libraries, or tooling that improve developer productivity and engineering efficiency.
- Familiarity with API management, gateway technologies, secrets management, and infrastructure tooling.
- Experience working with large-scale data platforms, ETL pipelines, or high-volume data processing environments is a plus.
- Strong interest in AI-enabled engineering, workflow automation, and modern software delivery practices.
- Demonstrated technical leadership through complex projects, platform initiatives, or cross-team engineering efforts.
Role:
- Drive foundational improvements to CI/CD platforms, deployment pipelines, and engineering practices that improve reliability and accelerate software delivery.
- Design and develop reusable frameworks, internal platforms, and developer tools that increase engineering productivity across teams.
- Lead modernization efforts focused on cloud-native technologies, automation, AI-assisted engineering, and developer experience.
- Build and maintain scalable applications, APIs, services, and platform capabilities that support enterprise-scale solutions.
- Partner with engineering, platform, product, and architecture teams to solve cross-functional technical challenges.
- Contribute to architectural decisions that improve scalability, resilience, security, and long-term maintainability.
- Identify opportunities to simplify processes, eliminate inefficiencies, and improve SDLC and PDLC effectiveness.
- Support DevOps and platform engineering initiatives through automation, Infrastructure as Code, and operational excellence practices.
Vacancy posted 1 hour ago
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