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 Senior DevOps Engineer to lead cloud infrastructure efforts, focusing on AWS, Kubernetes, Terraform, and CI/CD. You will drive reliable platform decisions, automate cloud and Kubernetes operations, and enhance security, observability, and scalability across hybrid cloud environments.

You will work in a remote-capable role with EST hours (8am–5pm). Must have 7+ years of experience in DevOps/Platform Engineering and strong scripting skills. No C2C or sponsorship.

Qualifications

• 7+ years of experience in DevOps or platform engineering.
• Proven track record designing and operating scalable cloud infrastructure.
• Strong AWS experience (EC2, S3, EKS, ECR, Route 53, IAM).
• Kubernetes expertise including cluster ops, autoscaling, networking, ingress, RBAC.

Responsibilities

• Maintain, enhance, and evolve Kubernetes platforms across cloud and on‑prem environments.
• Automate cloud and Kubernetes platform operations; improve deployment flows.
• Strengthen security, observability, and reliability of systems; ensure scalability.

Skills

DevOps

Platform engineering

Cloud infrastructure

AWS

Kubernetes

Terraform

CI/CD

GitLab CI/CD

Argo CD

Grafana

Prometheus

RBAC

Python

Bash

AI‑assisted tooling

Education

Bachelor's Degree in CS/IT or related field

Tools

Helm

Kustomize

Terraform

GitLab CI/CD

Argo CD

Flux

Prometheus

Grafana

Loki

PostgreSQL/RDS

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).

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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