DevOps Platform Engineer

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.