Public Trust Eligibility Required This is a contingent position, meaning employment is dependent upon the successful award of the associated contract to Aretum and completion of any required background investigation or security clearance verification.  About Aretum  Aretum is a mission-driven organization committed to delivering innovative, technology-enabled solutions to our customers across defense, civilian, and homeland security sectors. Our teams work at the intersection of strategy, technology, and transformation, helping agencies solve their most critical challenges. We believe in investing in our people and creating a culture where collaboration, inclusion, and professional growth are at the forefront.  Job Summary  Aretum is seeking a skilled and motivated DevSecOps Engineer. As a DevSecOps Engineer you will provide your insight and expertise relating to the client's cloud and systems operations and management. Due to the nature of our work as a federal consulting organization, employees may be expected to handle Controlled Unclassified Information (CUI) and must adhere to applicable safeguarding and compliance requirements.   Responsibilities - Design, operate, and continuously improve automated CI/CD pipelines using GitLab CI to support zero-downtime deployments across multiple environments. - Support development teams with standardized deployment tooling, automation, and operational best practices. - Administer and support containerized workloads using Kubernetes (EKS) and Docker-based container platforms. - Configure and manage Linux-based servers and systems. - Implement Infrastructure as Code (IaC) using Terraform and/or AWS CDK for repeatable, auditable deployments. - Support provisioning and configuration of AWS services including EC2, EKS, ECS, S3, RDS, VPC, Lambda, and related services. - Coordinate infrastructure changes without performing AWS account provisioning or organizational administration. - Integrate security scanning into CI/CD pipelines using tools such as Trivy, AWS Inspector, and AWS Security Hub. - Perform vulnerability triage and coordinate remediation with development teams in accordance with defined timelines. - Implement and manage IAM least-privilege policies, secrets, and encryption using AWS KMS, Secrets Manager, and SSM. - Ensure encryption in transit and at rest across all in-scope systems. - Configure and maintain monitoring and observability using CloudWatch, Prometheus, Grafana, and centralized logging solutions. - Support Tier 2 and Tier 3 incident response for production systems, meeting SLA requirements. - Participate in root-cause analysis and continuous improvement initiatives. - Participate in Agile sprints, including backlog grooming, sprint planning, stand-ups, and retrospectives. - Track work in JIRA, using story-point estimation and sprint metrics. - Support reprioritization of backlog items in coordination with the COR and Product Owner. - Produce and maintain technical documentation covering architecture, pipelines, monitoring, security, and disaster recovery. - Support Business Continuity and Disaster Recovery (BCDR) planning, documentation, and exercises. - Ensure all deliverables comply with ADA, Section 508, WCAG 2.2 A/AA, and digital accessibility standards.

• Design and implement resilient cloud architectures using Infrastructure as Code (IaC) • Build, maintain, and optimize continuous integration and deployment pipelines • Monitor Service Level Objectives (SLOs) and manage incident response • Administrate cloud hosting accounts, VPN connections, and manage access controls • Create and maintain high-quality technical documentation • Collaborate closely with engineering, product, security, and internal operations stakeholders

• Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure. • Ensure reliability of multi-cloud Kubernetes clusters and pipelines. • Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications. • Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers. • Automate operations and engineering. Focus on automation so we can spend energy where it matters. • Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

• Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure. • Ensure reliability of multi-cloud Kubernetes clusters and pipelines. • Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications. • Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers. • Automate operations and engineering. Focus on automation so we can spend energy where it matters. • Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.