Role Description As a Site Reliability Engineer (SRE), you will play a key role in ensuring the reliability, scalability, and performance of our systems, applications, and infrastructure. You will bridge the gap between development and operations, applying software engineering practices to solve operational challenges. Your focus will be on automating processes, improving system reliability, and ensuring seamless delivery of services to our customers (OSIT). You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Build, maintain, and operate the AWS hosted platform. - Work closely with dev teams to identify and measure SLOs, SLAs, and SLIs. - Contribute to the development of platform services including architecture, provisioning, configuration, deployment, and support. - Integration with centralized logging, metrics dashboards, instrumentation, incident monitoring, and management. - Participate in on-call rotation for incident resolution for the platform and/or any dependent components. - React to production deficiencies by continuously implementing automation, self-healing, and real-time monitoring to production systems. - Maintain operational tooling and frameworks. - Perform root cause analysis and deliver resolution for tools and automation failures. - Build/integrate/administer systems and tools that enable engineering teams to observe their applications in production with autonomy (Dashboards, APMs). - Automate alerts for metrics on performance, cost, vulnerabilities, risk, compliance violations. - Conduct postmortems after production issues. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Qualifications - 5+ years of experience in software engineering. - 3+ years of scripting experience in Python or PowerShell. - 3+ years of experience with Linux system administration and shell scripting. - 3+ years of experience with networking fundamentals including VPN setup, routing, security groups, cross-cloud connectivity. - 2+ years of experience with AWS services: EC2, VPC, IAM, Lambda, S3, CloudWatch. - 2+ years of experience with Infrastructure-as-Code: Terraform, AWS CloudFormation, CDK. - United States Citizenship. Preferred Qualifications - Bachelor’s degree in Information Technology, Computer Science or related field. - 1+ years of experience with CI/CD pipeline basics using Git and GitLab. - 1+ years of experience monitoring and alerting with CloudWatch and Dynatrace. - 1+ years of experience with containerized workloads (ECS, EKS, etc). - Experience with security and compliance frameworks: FedRAMP Moderate, NIST 800-171. - Use of AI-driven anomaly detection in CloudWatch for proactive issue resolution. - Automation of patching and scaling using predictive models as well as supporting infrastructure for AI-based applications. Requirements - If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements). - Salary range: $91,700 to $163,700 annually based on full-time employment. Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

• Support the design, maintenance, and improvement of GitLab CI/CD pipelines. • Optimize automation workflows to improve build reliability and speed. • Ensure consistent, reusable patterns across services and teams. • Contribute to Kubernetes deployments using Helm for package management. • Help maintain reliable, scalable environments across dev, test, and production. • Troubleshoot containerized workloads and cluster-level issues. • Run and interpret Fortify, SonarQube, and related quality/security scans. • Work with developers to triage findings and implement remediation steps. • Embed secure practices into the CI pipeline without slowing teams down. • Partner with Java, Node, Svelte, and React teams to streamline build and deployment processes. • Suggest incremental improvements based on data, observation, and developer feedback. • Produce clear runbooks, setup guides, system diagrams, and technical documentation. • Help simplify onboarding for developers and support staff. • Advocate for well-documented processes that reduce tribal knowledge. • Participate in DevSecOps initiatives that strengthen both security posture and developer experience. • Evaluate new tools and practices thoughtfully — choosing simplicity over complexity.

• Build, deploy, and maintain scalable, highly available systems on AWS • Own CI/CD pipelines and drive improvements to deployment automation • Own and evolve infrastructure as code using Terraform and Ansible • Research new tools and technologies, develop proofs of concept, and introduce validated practices to the team • Improve system reliability — sharpen alerting, build out runbooks, and deepen observability across our stack (Grafana, Loki, Mimir, Tempo) • Participate in an on-call rotation; off-hours incidents are rare thanks to extensive automation and self-healing — occasional evening work is limited to planned maintenance and system upgrades • Maintain process documentation, operational runbooks, and infrastructure diagrams • Help maintain and manage systems for other teams • Raise the DevOps literacy of the engineering team — mentoring junior engineers and helping non-infrastructure engineers build good practices around deployments, observability, and reliability • Collaborate with engineering teams on infrastructure design decisions

• Build and maintain infrastructure across bare-metal, virtualized, and containerized environments using advanced technologies and high-end hardware. • Drive continuous improvements across CI/CD pipelines and automation workflows. • Provide infrastructure and automation support for development and verification teams, enabling efficient development and testing processes. • Support development and integration activities for next-generation infrastructure and software platforms. • Improve reliability, scalability, and operational efficiency across Linux- and Windows-based environments.