Senior DevOps Engineer

Overview REI Systems’ mission is to deliver reliable, innovative technology solutions that advance Federal clients' missions and exceed their expectations. Our technologists and consultants are passionate about solving complex challenges that impact millions of lives. We take a Mindful Modernization® approach in delivering our services, including application modernization, grants management, case management systems, government data analytics, and advisory services. This approach, the REI Way, ensures mission impact by aligning our clients' strategic objectives with measurable outcomes through people, processes, and technology. We offer the same commitment to our employees by providing professional development, meaningful projects, and flexibility to spend time with family and friends. We believe employees are at their best when fulfilled in both their professional careers and their personal lives. Learn more at www.REIsystems.com. Employees voted REI Systems a Washington Post Top Workplace in 2015, 2016, 2018, 2020, 2021, 2022, 2023, 2024, and 2025! Responsibilities Senior DevOps Engineer REI Systems is seeking a Senior DevOps Engineer to lead the design, implementation, automation, and operation of enterprise-scale cloud environments and software delivery platforms supporting mission-critical federal applications. This individual will serve as a senior technical contributor and work closely with software engineering, infrastructure, security, architecture, and operations teams to design and optimize CI/CD pipelines, cloud infrastructure, container platforms, Infrastructure as Code, automation, observability, and production operations. The ideal candidate brings extensive hands-on experience with AWS, Kubernetes, CI/CD, Infrastructure as Code, scripting, monitoring, production operations, and cloud-native architectures and can independently troubleshoot complex application and infrastructure issues. DevOps Engineering & Automation Design, develop, own, and continuously improve CI/CD pipelines and software delivery platforms supporting enterprise-scale applications and engineering teams. Architect and implement Infrastructure as Code (IaC) solutions for scalable, secure, and highly available cloud environments. Design, deploy, optimize, and support containerized applications and microservices using Kubernetes, Docker, AWS EKS, and/or OpenShift. Develop advanced automation solutions using Bash, Python, Groovy, or similar scripting languages. Lead application and microservice deployments across development, test, staging, and production environments. Partner with development teams to diagnose and resolve complex application, configuration, deployment, networking, and infrastructure issues. Establish and promote DevOps engineering standards, automation practices, and deployment best practices. Identify opportunities to improve cloud scalability, resiliency, security, automation, performance, and operational efficiency. Evaluate and implement emerging DevOps, cloud-native, containerization, and automation technologies. Provide technical guidance and mentorship to junior and mid-level DevOps engineers. Production Operations & Reliability Ensure the availability, reliability, scalability, and performance of 24x7 production and non-production environments. Lead technical response and troubleshooting efforts during complex production incidents and outages. Perform and facilitate root cause analysis (RCA) and develop corrective and preventative actions. Design and improve monitoring, alerting, logging, and observability capabilities across cloud and application environments. Analyze application, infrastructure, network, and system performance to proactively identify reliability and capacity issues. Define and track operational KPIs related to availability, uptime, SLA performance, incidents, capacity, and system health. Lead or oversee operational maintenance activities including operating system patching, security remediation, vulnerability management, and environment upgrades. Improve system observability through dashboards, metrics, alerts, distributed logging, and application performance monitoring. Participate in an on-call rotation and provide senior-level technical support during critical production incidents, deployments, outages, and service transitions. Identify recurring operational issues and develop automation and engineering solutions that reduce manual intervention. Qualifications 7+ years of relevant DevOps, Cloud Engineering, Site Reliability Engineering, Systems Engineering, or related experience. Advanced hands-on experience designing and maintaining enterprise CI/CD pipelines, preferably using Jenkins and Groovy. Strong hands-on experience with Kubernetes, Docker, AWS EKS, and/or OpenShift. Strong understanding of microservices architecture, distributed systems, and container-based application environments. Advanced experience with Infrastructure as Code, using technologies such as Terraform, CloudFormation, or similar platforms. Strong scripting and automation experience using Bash, Python, Groovy, or similar languages. Extensive hands-on experience with AWS services including VPC, EC2, EKS, RDS, IAM, CloudWatch, and related cloud technologies. Experience designing and supporting highly available, scalable, and secure AWS cloud environments. Strong experience with monitoring, logging, observability, and application performance platforms such as AWS CloudWatch, New Relic, Splunk, or similar tools. Strong experience with source code and version control systems such as Git. Experience supporting and troubleshooting Java and/or Node.js web applications, including technologies such as Spring Boot and React. Advanced troubleshooting skills across applications, cloud infrastructure, networking, containers, CI/CD pipelines, and production environments. Strong understanding of incident management, problem management, change management, SLAs, production support, and root cause analysis. Demonstrated ability to independently solve complex technical problems and drive issues through resolution. Experience mentoring engineers and contributing to technical standards and engineering best practices. Excellent analytical, troubleshooting, communication, and collaboration skills. Education: Bachelor’s degree in computer science or a related field. Clearance: Candidate must be a US Citizen to support this federal project and able to obtain and maintain a Clearance. Location: Hybrid (2 Day per week in our Sterling, VA HQ) EEO Statement: REI Systems is an Equal Opportunity Employer.