DevOps Engineer

Role Overview

Mid to senior DevOps Engineer (fully remote, full-time) at ArcheSys Inc. You will strengthen end-to-end delivery and operations across CI/CD automation, build/release engineering, container security, AWS enablement, and reliability tooling. The role is hands-on and innovation-driven: prototype new automation, validate quickly, and turn successful prototypes into reusable standards (e.g., shared pipeline modules, secure base artifacts, and repeatable infrastructure patterns).

Responsibilities

• CI/CD Integration & Pipelines

  • Design, implement, and maintain robust CI/CD pipelines using Jenkins, including shared libraries/reusable modules.
  • Build automated workflows for build, test, security scanning, artifact publishing, and deployment.
  • Enforce best practices with GitHub integration (branching strategy, PR checks, release tagging) using templates/guardrails.
  • Implement semantic versioning for pipelines, artifacts, and container images to ensure traceability.

• Containerization & Secure “Gold Image” Patterns

  • Build and continuously improve hardened Docker base “gold images” used across engineering teams.
  • Apply container security and hygiene: least privilege, dependency pinning, SBOM awareness, secure defaults.
  • Establish an image lifecycle model (build → scan → sign/promote → deprecate) and automate patching/rebuilds.

• Artifact Management & Supply Chain Security (JFrog)

  • Manage artifact workflows in JFrog Artifactory (repo structure, promotion, retention, access control).
  • Partner with teams to remediate findings and improve supply chain posture.
  • Maintain automation for deploying new gold-image versions across existing images using Docker templates.

• Cloud Infrastructure Development & Management (AWS + Python)

  • Create AWS automation and operational patterns for RDS, Glue, and QuickSight.
  • Develop Python-based tooling for cloud operations, validations, deployments, and reporting workflows.
  • Improve reliability and repeatability via automated provisioning patterns and standardized configurations.
  • Build and deploy AWS resources using Terraform and deploy via CI/CD pipelines.

• Quality Gates, Observability & Operational Excellence

  • Integrate and operationalize SonarQube quality gates (coverage thresholds, code smells, vulnerability checks) in CI/CD.
  • Support observability via Grafana (dashboards/alerts), and optionally Datadog/New Relic.
  • Collaborate with engineering/SRE stakeholders to reduce toil, improve incident readiness, and standardize runbooks.