Cloud Infrastructure Engineer

Job Description

Job Description

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 Cloud Infrastructure 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 to date with emerging technologies and best practices in the cloud and DevOps space.
• Take part in internal and external training to develop the necessary skills and knowledge for career growth.

Qualifications:

Educational Background & Experience:

• Bachelor’s degree in computer science, Software Engineering, or related field, or equivalent practical experience.
• 4–8+ years’ experience in DevOps / Platform Engineering / CI/CD / Cloud Engineering (mid to senior level).
• Strong hands-on expertise in Jenkins, including Jenkins Shared Libraries and reusable pipeline modules.
• Strong knowledge of Docker and container fundamentals (container OS concepts, layering, caching, base image strategies).
• Hands-on experience with JFrog Artifactory and JFrog Xray (policies, scanning, governance, promotion workflows).
• Infrastructure as Code experience (Terraform / CloudFormation / Ansible).
• Strong understanding of semantic versioning and release management discipline.
• Solid experience with AWS and familiarity with RDS, Glue, and QuickSight.
• Proficiency in Python for automation, tooling, and integrations.
• Experience with DevOps tools such as GitHub, SonarQube, and Grafana.
• Strong communication skills; comfortable collaborating in a fully remote environment.

Nice to Have:

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer).
• Experience with other observability tools (e.g., Datadog, New Relic, OpenTelemetry).
• Contributions to open-source projects related to Grafana or observability.
• Kubernetes/ECS/EKS experience (helpful but not required).
• Experience in compliance-driven environments (e.g., secure baselines, audit evidence, change control).

Personal Attributes:

• Excellent problem-solving abilities and analytical thinking.
• Strong communication skills with the ability to articulate complex technical concepts clearly.
• A collaborative mindset, able to work effectively in team environments and contribute to knowledge sharing and best practices.

Additional Requirements:

• A willingness to continually learn and adapt to the evolving technology landscape.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.

All work must be conducted within the U.S., excluding U.S. territories. Some federal contracts require U.S. citizenship to be eligible for employment.

You must be legally authorized to work in the U.S. now and in the future without sponsorship.

As the US Government is our clientele, you may be required to obtain a public trust or security clearance.

Some of our available roles are on federal contracts that require a degree or additional years of experience as a substitute.

What We Offer:

• Competitive salary and benefits package, including health, dental, and vision insurance, retirement plan, and generous paid time off.
• Opportunity to work with a talented team of professionals on exciting and innovative projects.
• Flexible work arrangements, including remote work options.
• Continuous learning and development opportunities, including access to training resources and professional development programs.
• A collaborative, inclusive work environment that values diversity and encourages growth.

Join us at Archesys and be part of a team dedicated to delivering cutting-edge solutions for clients in the public sector. Your expertise and passion for technology will help us continue to innovate and grow. We look forward to welcoming you to our team and supporting your success as a Cloud Infrastructure Engineer.

Archesys participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Archesys is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applications from all qualified candidates, regardless of race, color, religion, sex.