Bespoke Labs26.01.26
AI SCORE 8.5

Mid-Senior DevOps/​Backend Engineer - Remote Opportunity

$40–$80/

About the Role

We are seeking a Mid-Senior DevOps/Backend Engineer to join our team at Bespoke Labs. This is a fully remote position where you will play a crucial role in our new AI training initiative. As a DevOps/Backend Engineer, you will leverage your real-world engineering experience to help design and document authentic DevOps and backend scenarios that will directly train next-generation AI systems.

What You’ll Do

  • Capture real DevOps and backend incidents and convert them into benchmark tasks.
  • Contribute to secure, scalable, Kubernetes-native architectures.
  • Work across CI/CD, observability, identity, infrastructure-as-code, and backend services.
  • Collaborate with our team to build realistic engineering workflows.
  • Utilize your expertise in Kubernetes, Terraform, and CI/CD pipelines to enhance our systems.

Requirements

  • 5-12 years of strong hands-on experience in DevOps and/or Backend Engineering.
  • Proficiency in Kubernetes, Terraform, CI/CD (GitLab CI preferred), Go, Python, Java, Docker, and gRPC.
  • Experience with secure, offline/air-gapped deployments is a big plus.
  • Familiarity with at least five of the following: Identity & Access Management, Observability (Prometheus + Grafana), CI/CD Pipelines, Keycloak, GitLab CI.
  • Experience with Terraform OSS and Kubernetes tools & ecosystem is desirable.

Nice to Have

  • Experience with ML/Distributed pipelines.

What We Offer

  • Hourly compensation ranging from $40 to $80, determined by experience and project scope.
  • Fully remote work opportunity with flexible hours.
  • Collaborative work environment with a focus on innovation.
  • Opportunity to contribute to next-gen AI systems.
  • Engaging hiring process with shortlisting, review, and onboarding.

If you are interested in remote work opportunities in DevOps and want to shape the future of AI, we’d love to hear from you!

Why This Job8.5 of 10

This remote DevOps/Backend Engineer position offers competitive pay and the chance to work on innovative AI projects. Ideal for experienced engineers seeking flexibility.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Bespoke Labs

Discover exciting career opportunities at Bespoke Labs in 2026. Explore a variety of remote, hybrid, and office roles tailored to your skills. Utilize our advanced filters, application tracking, and gain valuable company insights to enhance your job search experience. Find your perfect fit and join a dynamic team at Bespoke Labs today!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Kubernetes and Docker for container orchestration and management, with hands-on experience in deploying scalable applications in cloud environments.

Self-motivated and disciplined to work effectively in a fully remote setup, demonstrating strong time management and ability to deliver results without direct supervision.

Solid understanding of CI/CD pipelines and tooling, particularly with Terraform and GitHub Actions, enabling efficient automation of deployment processes and infrastructure management.

Learning Resources

Kubernetes Official Documentationguide

Career Path

Mid-Senior DevOps/Backend Engineer(Now)Lead DevOps Engineer(1-2 years)DevOps Architect(3-5 years)

Market Overview

Market Size 2024
$31.2B
Annual Growth
24.6%
AI Adoption
52%
Investment
+300%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
KubernetesTerraformCI/CD
Growing in Demand
Kubernetes OperatorsService Mesh (Istio, Linkerd)GitOps (ArgoCD, FluxCD)
Declining
JenkinsVMware vSphere

Domain Trends

Rise of GitOps
GitOps practices are gaining traction, with 75% of organizations adopting GitOps principles for managing Kubernetes deployments.
Increased Focus on Security
Security in the Kubernetes ecosystem is paramount; 60% of organizations are investing in security tools specifically for Kubernetes.
Observability Tools Adoption
The demand for observability tools has surged, with a 40% increase in organizations implementing solutions like Prometheus and Grafana for better monitoring.

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