Job Opportunities API

The company is seeking an experienced DevOps Platform Engineer to join their Application Infrastructure team. This role involves designing, building, and operating scalable platforms and infrastructure that enable engineering teams to develop, deploy, and run services efficiently, securely, and reliably in a complex, large-scale production environment using AWS, Kubernetes, and infrastructure automation. What You'll Do • Design, build, and maintain application infrastructure and platforms used by engineering teams • Develop scalable, reliable, and secure infrastructure on AWS and manage Kubernetes-based production environments • Build and improve CI/CD pipelines, deployment processes, and infrastructure automation • Develop self-service tools and platform capabilities that improve developer productivity and experience • Define and implement best practices for infrastructure, deployments, observability, and security; lead troubleshooting and incident investigation for complex production issues • Evaluate and implement AI-based tools for infrastructure automation, operational efficiency, and AIOps capabilities into platform engineering processes What You Need • 3-5 years of hands-on experience in DevOps, Platform Engineering, or Infrastructure Engineering roles • Strong hands-on experience working with AWS in production environments, including services such as EKS, EC2, IAM, VPC, Route 53, S3, RDS, Lambda, and CloudWatch • Strong experience with Kubernetes and containerized environments, and hands-on experience with Infrastructure as Code tools, preferably Terraform • Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Argo CD, or similar technologies • Experience writing automation or production-grade code using Python, Go, Bash, or a similar language; strong understanding of Linux, networking, DNS, load balancing, and distributed systems • Experience with monitoring, logging, tracing, and observability platforms; strong troubleshooting skills and the ability to investigate complex production issues • Hands-on experience using AI and Generative AI tools as part of software development, infrastructure, or operational workflows; experience working with LLM APIs, AI coding assistants, or AI automation tools Nice to Have • Experience working with data platforms, data infrastructure, or large-scale data processing systems; understanding of data pipelines, data ingestion, streaming systems, or distributed data architectures • Experience operating large-scale, multi-region, or multi-account AWS environments • Experience with GitOps tools such as Argo CD or Akuity, service mesh, API gateways, or service discovery solutions • Experience with Datadog, Prometheus, Grafana, OpenTelemetry, or similar observability tools; experience with cloud security, secrets management, and Vault • Experience with CAG, AI agents, RAG, MCP, LLM integrations, or AIOps solutions