We are a national staffing firm and are currently seeking a DevOps Engineer for a prominent client of ours. This position is Remote (8AM – 5PM EST). Details of the position are as follows:
Sorry, No C2C or sponsorship
Job Details:
Qualifications:
Desirable Skills:
Sorry, No C2C or sponsorship
Job Details:
- Pay: $80 – $90/hr.
- 3-month assignment, possible extension based on budget and performance.
- Candidates can live anywhere in the US but must be able to work 8am – 5pm EST.
- Seeking a DevOps Engineer with strong experience in AWS, Kubernetes, Terraform, and CI/CD who can independently drive reliable infrastructure decisions in ambiguous environments.
- Will be instrumental in automating and operating our cloud and Kubernetes platform, improving deployment flows, strengthening security and observability, and ensuring systems are scalable, reliable, and maintainable.
- This role also expects practical fluency with modern AI-assisted engineering workflows to accelerate analysis, troubleshooting, documentation, and delivery while maintaining high standards for correctness, security, and operational safety.
- Position will help maintain, enhance, and evolve the Kubernetes platforms that enable scientific and engineering teams to deploy, operate, and scale critical applications across both on-premises and cloud environments.
Qualifications:
- Bachelor's Degree or higher in Computer Science, Information Technology, or a related field, or equivalent practical experience.
- 7+ years of experience in DevOps, platform engineering.
- Proven track record in designing and operating scalable cloud infrastructure.
- Strong expertise with AWS services, including EC2, S3, EKS, ECR, Route 53, IAM, and core networking and security concepts.
- Advanced hands-on experience with Kubernetes, including cluster operations, upgrades, autoscaling, networking, ingress, RBAC, policy enforcement, and production workload management.
- Strong experience with Terraform for infrastructure-as-code, environment management, and repeatable platform provisioning.
- Experience with Kubernetes packaging and deployment tools such as Helm and Kustomize.
- Experience with CI/CD systems such as GitLab CI/CD and familiarity with GitOps approaches using Argo CD, Flux, or similar tools.
- Strong experience with observability and monitoring tools such as Prometheus, Grafana, Loki, or comparable tooling.
- Strong experience with PostgreSQL/RDS, including performance tuning, reliability, and operational support.
- Solid understanding of cloud and container security practices, including IAM least privilege, secrets management, image scanning, admission controls, and policy enforcement.
- Strong scripting and automation skills in Python, Bash, or similar languages.
- Practical fluency with AI-assisted engineering tools such as LLMs, code assistants, and workflow automation tools.
Desirable Skills:
- Certifications in AWS, Kubernetes, Terraform, or related platform technologies.
- Experience with additional cloud platforms such as GCP or Azure.
- Experience improving incident response, operational readiness, and platform standards for distributed engineering teams.
- Experience designing internal platform capabilities that improve developer self-service and reduce operational toil.
- Familiarity with compliance, governance, and risk management requirements in regulated or enterprise environments.