Platform DevOps Engineer (AWS/Kubernetes)

Contract Details

• Work Mode: 100% Remote (US-based)
• Location: Herndon, VA
• Schedule: 40 hours/week
• Duration: 05/18/2026 – 05/17/2027
• Potential conversion to full-time after ~12 months

About the Opportunity

We are seeking a DevOps Engineer to build and operate cloud-native platforms and services that support analytics workloads. You will blend software engineering, automation, and operations to deliver secure, scalable, and high-performing solutions with a strong focus on CI/CD, Kubernetes, infrastructure as code, and operational excellence.

Key Responsibilities

• Design, implement, and manage cloud-native platforms using microservices, containers, and serverless patterns.
• Build and maintain CI/CD pipelines to enable reliable, secure deployments.
• Develop and support scalable services, integrations, and automation for analytics use cases.
• Use Terraform to provision and manage cloud infrastructure.
• Automate configuration and operational tasks with Ansible.
• Deploy and orchestrate services on Kubernetes; manage packaging and releases with Helm.
• Implement secure configuration and secrets management (e.g., HashiCorp Vault).
• Monitor, troubleshoot, and optimize platforms for performance, availability, and cost.
• Gather requirements, define specifications, and produce detailed designs, implementation plans, and test plans.
• Perform unit, integration, and regression testing; support deployments across environments.
• Conduct post-implementation validation, root-cause analysis, and defect resolution.
• Collaborate with product owners, data engineers, security, cloud operations, and application teams.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or related field.
• 5+ years in DevOps, platform engineering, or software engineering.
• Strong knowledge of AWS (compute, networking, storage, IAM) and container orchestration (Kubernetes/EKS).
• Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
• Infrastructure as Code with Terraform.
• Configuration management and automation with Ansible.
• Kubernetes packaging and deployment using Helm.
• Security and secrets management practices (e.g., HashiCorp Vault) for cloud-native workloads.
• Experience working in agile environments and on complex systems.

Preferred Qualifications

• Experience with analytics/BI platforms: SAP Analytics Cloud (SAC) preferred, or Tableau, Power BI, SAP BW/4HANA.
• Exposure to modern data processing technologies (e.g., NoSQL stores, data lakes).
• Strong CS fundamentals (data structures, algorithms, software design) and production troubleshooting skills.

Work Environment

• Remote work; collaboration with cross-functional teams; no travel expected.