DevOps Engineer

About: Our client is seeking a DevOps engineer to join their team in Midtown Manhattan. This team builds and operates the internal developer platform, which currently supports more than 100 applications. They create the framework and standardized tools that application developers use to deploy, monitor, scale, and secure their applications while simplifying the complexities of Kubernetes, cloud infrastructure, and CI/CD. The team also supports advanced capabilities such as multi-region deployments, disaster recovery, and autoscaling, while exploring how generative AI can improve developer productivity. Their work is centered on reliability, security, scalability, and continuous improvement. Mission: You will own well-scoped features through the development lifecycle from understanding a user's needs and contributing to the design through implementation, testing, deployment, and production monitoring. With guidance from experienced teammates, you will work across different parts of the platform, including command-line tooling, deployment automation, and cloud infrastructure. You will use modern development practices and AI tools, while maintaining high standards for code quality, testing, documentation, and technical judgment. This role is well suited to someone who enjoys solving practical engineering problems, learning across application and infrastructure domains, and building tools that improve the experience of other developers. Day-to-Day: Design, build, and enhance capabilities across the ecosystem, deployment automation, and supporting platform services Create and maintain clear technical documentation, runbooks, and developer-facing guidance Use AI-assisted development tools thoughtfully to accelerate implementation, testing, troubleshooting, and documentation Own well-scoped features from initial requirements through implementation, testing, release, and production monitoring Work with application developers and platform engineers to understand pain points and improve the developer experience Contribute to the reliability, scalability, security, and maintainability of a production platform Write clean, maintainable, and well-tested code, including unit, integration, and regression tests Diagnose issues across application code, CI/CD pipelines, AWS resources, and Kubernetes workloads Use logging, metrics, alerts, and other observability tools to understand system behavior and improve reliability Contribute to technical designs and architecture decisions with support from senior engineers Improve automation and engineering practices that make changes safer and more consistent across environments Must-Have Skills: Solid understanding of software engineering fundamentals, including data structures, APIs, testing, debugging, and common design patterns Experience with AWS services Experience with containers and container orchestrators, particularly Kubernetes Experience with infrastructure as code using Terraform Familiarity with cloud computing, containerization, or modern application deployment concepts Ability to take ownership of well-defined work, identify risks, and ask for guidance when requirements or technical decisions are unclear Experience building for end users and receiving feedback