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# Staff Site Reliability Engineer

- **Company:** PROTINGENT
- **Location:** Fort Meade, MD, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software as a Service, Cloud Computing, Cloud Computing Security, Continuous Integration, Distributed Data Store, Domain Name System (DNS), Infrastructure as a Service (IaaS), Identity and Access Management, Python (Programming Language), Key Management, PostgreSQL, MySQL, Redis, Reliability Engineering, Software Engineering, Data Logging, Load Balancing, System Availability, Kubernetes, Deployment Automation, Cassandra, Terraform, OpenSearch, Golang, Microservices
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-site-reliability-engineer-fort-george-g-meade-md--4aee22b5-1381-4d2a-95b8-8e6ce6eca9d8

## About the Role

Reliability Engineering, Reliability Engineering, Infrastructure as a Service (IaaS), On Call, High Availability, Customer Relations, Incident Response, Incident Management, Budgeting, Reporting Dashboards, * Proven experience with Federal and DoD compliance frameworks, specifically FedRAMP and Impact Level 6 (IL6)

 * Strong experience operating large-scale production services in AWS and/or GCP
 * Deep expertise with Kubernetes in production, including troubleshooting networking, storage, scheduling, scaling, and workload lifecycle issues
 * Extensive experience with Infrastructure as Code (Terraform, Helm)
 * Strong software engineering skills in Golang and/or Python
 * Experience operating distributed data platforms such as PostgreSQL, Redis, OpenSearch, MySQL, or Cassandra
 * Strong understanding of cloud networking fundamentals: DNS, load balancing, ingress, TLS, service networking, and traffic management
 * Experience with observability platforms, monitoring strategies, and production telemetry
 * Deep understanding of SLIs, SLOs, error budgets, and capacity planning
 * Strong understanding of CI/CD pipelines and deployment strategies
 * Understanding of cloud security fundamentals, IAM, secrets management, and secure infrastructure design
 * Demonstrated success leading engineering initiatives across multiple teams and mentoring engineers
 * Preferred: GitOps and ArgoCD
 * Preferred: Experience operating large-scale SaaS platforms and Kubernetes-based microservices
 * Preferred: Experience implementing AI-assisted operational tooling or automation workflows

## Description

* Design, build, and operate large-scale cloud infrastructure and production services
 * Participate in an on-call rotation supporting highly available customer-facing systems
 * Lead incident response and drive post-incident reviews focused on systemic improvements
 * Define, measure, and improve SLIs, SLOs, and error budgets
 * Improve observability through metrics, logging, tracing, dashboards, and alerting
 * Develop software, automation, and infrastructure using Go, Python, Terraform, and related technologies
 * Eliminate operational toil through automation, tooling, and platform engineering
 * Improve deployment safety through CI/CD and GitOps practices
 * Build self-service platforms and operational guardrails that improve developer velocity while maintaining reliability and security
 * Lead complex reliability initiatives spanning multiple engineering teams
 * Mentor engineers through design reviews, incident analysis, and knowledge sharing
 * Apply AI-assisted engineering techniques to improve incident response, troubleshooting, and automation
 * Support systems operating under Federal and DoD compliance frameworks (FedRAMP, IL6)