DevOps Engineer

About the role

Location: This is a remote position. Residency Requirement: Candidates MUST have lived in the U.S. for at least 3 of the past 5 years and be authorized to work in the U.S. (Citizen, Permanent Resident, or EAD). Sponsorship: This position does not offer any type of sponsorship. Candidates must already be authorized to work in the U.S. (e.g., Citizen, Permanent Resident, or EAD). Clearance: Public Trust Clearance (or ability to obtain) Archesys is a technology firm specializing in innovative cloud solutions and services for clients across various industries. We pride ourselves on cutting-edge technologies, exceptional customer service, and a collaborative work environment. This is a fully remote, full-time position. We’re looking for a mid to senior-level DevOps Engineer to strengthen our end-to-end delivery and operational capabilities across CI/CD automation, build and release engineering, container security, AWS cloud enablement, and reliability tooling. This role is also highly hands-on and innovation-driven: you’ll regularly prototype new DevOps and cloud automation approaches, validate them quickly, and turn successful prototypes into reusable standards (shared pipeline modules, secure base artifacts, and repeatable infrastructure/patterns). You’ll integrate quality and security controls using tools like JFrog Artifactory/Xray, SonarQube, GitHub, Grafana, and optionally Datadog/New Relic, while building Python-based automation that reduces toil and improves consistency across environments—including AWS services such as RDS, Glue, and QuickSight. Key Responsibilities: DevOps Integration & CI/CD Pipelines: Design, implement, and maintain robust CI/CD pipelines using Jenkins, including Shared libraries/reusable modules to standardize delivery patterns. Build automated workflows for build, test, security scanning, artifact publishing, and deployment, including environment promotion strategies. Integrate CI/CD with GitHub (branching strategy, PR checks, release tagging) and enforce best practices through templates and guardrails. Implement and maintain semantic versioning practices for pipelines, artifacts, and container images to ensure traceability and prevent overwrite. Containerization & Secure Gold Image Patterns: Build, maintain, and continuously improve Docker base “gold images” (minimal, hardened, patched) used across engineering teams. Apply container best practices: image hygiene, least privilege, dependency pinning, SBOM awareness, and secure defaults. Establish an image lifecycle model (build → scan → sign/promote → deprecate) and automate patching and rebuild workflows. Artifact Management & Supply Chain Security (JFrog) Manage artifact workflows using JFrog Artifactory (repository structure, promotion, retention, access control). Partner with teams to remediate findings efficiently and improve overall supply chain posture over time. Build and maintain automation using Docker Templates for deploying a new version of gold images for existing images. Cloud Infrastructure Development & Management: Build automation and operational patterns across AWS services, including RDS, Glue, and QuickSight. Develop and maintain Python tooling to automate cloud operations, validations, deployments, and reporting workflows. Improve platform reliability and repeatability through automated provisioning patterns and standardized configurations. Build and deploy AWS resources using Terraform, and deployment using CI/CD pipeline . DevOps Tooling, Quality Gates, and Observability: Integrate and operationalize SonarQube quality gates (coverage thresholds, code smells, vulnerability checks) within CI/CD. Support and extend observability integrations with Grafana (dashboards/alerts, operational visibility), and optionally Datadog/New Relic. Collaborate with engineering and SRE stakeholders to reduce toil, improve incident readiness, and standardize runbooks. Cloud Infrastructure Development & Management: Build automation and operational patterns across AWS services, including RDS, Glue, and QuickSight. Develop and maintain Python tooling to automate cloud operations, validations, deployments, and reporting workflows. Improve platform reliability and repeatability through automated provisioning patterns and standardized configurations. Build and deploy AWS resources using Terraform, and deployment using CI/CD pipeline . DevOps Tooling, Quality Gates, and Observability: Integrate and operationalize SonarQube quality gates (coverage thresholds, code smells, vulnerability checks) within CI/CD. Support and extend observability integrations with Grafana (dashboards/alerts, operational visibility), and optionally Datadog/New Relic. Collaborate with engineering and SRE stakeholders to reduce toil, improve incident readiness, and standardize runbooks. Security & Compliance: Implement and manage security controls, ensuring system integrity and compliance with industry standards and organizational policies. Work closely with the security team to monitor for vulnerabilities and implement necessary patches and updates. Support compliance initiatives by adhering to established IT policies and guidelines. Collaboration & Documentation: Collaborate with cross-functional teams to develop cohesive and innovative solutions. Create and maintain comprehensive documentation outlining system architecture, procedures, and best practices. Document procedures, configurations, and specifications, ensuring that knowledge is effectively shared across the team. Contribute to the maintenance of a knowledge base to facilitate continuous learning and team development. Collaborate closely with cross-functional teams to understand their needs and develop solutions accordingly. Participate in knowledge-sharing sessions to enhance team skills and expertise. Assist in the creation and maintenance of technical documentation, including system designs, configurations, and procedures. Professional Development: Continuously learn and keep up t