DevOps Engineer - Remote

The Fountain Group; Santa Clara (CA); Hybrid; USD 110,000 - 124,000; Full time

Job summary

The Fountain Group is seeking a DevOps Engineer for a remote, US-wide engagement. This role focuses on building and operating reliable cloud and Kubernetes platforms, with emphasis on automation, security, and observability.

Candidates should have strong experience in AWS, Kubernetes, Terraform, and CI/CD, and be comfortable working 8:00 AM–5:00 PM EST. With a 3-month assignment and potential extension, the ideal candidate will drive infrastructure decisions and contribute to scalable,

Qualifications

• Bachelor's degree in CS, IT, or related field, or equivalent experience.
• 7+ years in DevOps/platform engineering.
• Proven ability to design and operate scalable cloud infrastructure.
• Strong AWS experience: EC2, S3, EKS, IAM, networking and security concepts.
• Hands-on Kubernetes: cluster operations, autoscaling, networking, RBAC.

Responsibilities

• Own and drive cloud infrastructure decisions in ambiguous environments.
• Automate and operate cloud and Kubernetes platforms; improve deployment flows.
• Enhance security, observability, scalability, reliability and maintainability of systems.
• Leverage AI-assisted engineering workflows to accelerate analysis and delivery.
• Maintain and evolve Kubernetes platforms for on-prem and cloud environments.

Skills

AWS

Kubernetes

Terraform

CI/CD

Python

Education

Bachelor's degree

Tools

Helm

Kustomize

Argo CD

Job description

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:

• 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.

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