Role Description We're looking for a DevOps Engineer to join our CMS BDAMAX team, supporting a federal program that directly impacts the Medicare experience for millions of Americans. - Build and maintain CI/CD pipelines including automated scanning, testing, and deployment workflows - Provision and manage infrastructure using Terraform with emphasis on reusable modules and secure configuration baselines - Manage and optimize AWS infrastructure including EKS, ECS, Fargate, EC2, S3, RDS Aurora PostgreSQL, and Secrets Manager - Work with Kubernetes and containerized environments including Argo Workflows - Support enterprise adoption of AI engineering platforms including Amazon Bedrock, GitHub Copilot, Gemini, and Cursor - Partner with DevOps, Architecture, and Development teams to implement reliable, scalable infrastructure patterns - Build internal tooling to support development and operational workflows Qualifications - Hands-on experience with AWS and core cloud infrastructure management - Experience building and maintaining CI/CD pipelines with Jenkins - Proficiency with Terraform for infrastructure provisioning and environment management - Experience with Kubernetes and containerized deployments - Familiarity with Argo Workflows is a plus - Thrives in a remote, collaborative Agile environment and genuinely enjoys working closely with a cross-functional team - Communicates clearly and openly, whether documenting infrastructure decisions or coordinating with engineering teams - Performs other related duties as assigned Requirements - Applicants must be authorized to work in the United States. - In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance. - Education: Bachelor’s degree Benefits - Fully remote - Annual stipend - Comprehensive Benefits Package - Company Match 401(k) plan - Flexible PTO, Paid Holidays Compensation At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements, a range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level. United States Wage Range: $100,000 – $145,000

• Lead end-to-end instrumentation of metrics (infrastructure and application), structured logs, and distributed tracing, ensuring full visibility across the ecosystem. • Implement, evolve, and manage Application Performance Monitoring (APM) tools to identify bottlenecks and optimize the user experience. • Define, implement, and monitor SLIs, SLOs, and Error Budgets to support the balance between innovation and stability. • Plan and execute Chaos Engineering experiments to validate failure hypotheses and strengthen the architecture. • Define predictive alerting policies to reduce alert fatigue and accelerate incident response. • Work cross-functionally to support Data Engineering pipelines and microservices architectures (REST APIs) on AWS.

• Partner closely with product engineering squads (embedded model) • Own production reliability for high-SLA and complex customer environments • Design and implement automation to scale our reliability practices • Ensuring our customers meet our SLO targets • Define and evolve per-tenant SLOs and reliability models • Proactively reduce SLO burn to prevent repeat incidents • Serving as a primary escalation point and on-call for relevant incidents • Lead customer-impacting incident response and post-incident reviews • Contribute to design docs and code reviews • Influence feature design to ensure production scalability and operability • Build automation to eliminate toil where needed • Improve alert quality and reduce noisy escalations

• Design, implement and evolve CI/CD pipelines • Provision and maintain cloud infrastructure using GCP, AWS and Azure • Automate infrastructure using Terraform and Ansible • Operate, administer and scale Kubernetes (GKE) and Docker environments • Define, implement and track reliability metrics and practices such as SLIs, SLOs, SLAs, MTTR and MTTD • Build observability, monitoring, alerting and APM • Work with monitoring and observability tools such as Dynatrace, Datadog, Grafana, Prometheus and the ELK Stack (Elasticsearch and Kibana) • Monitor performance and availability indicators including Latency, Traffic, Errors and Saturation • Collaborate closely with squads, promoting platform engineering best practices, automation and reliability