DevOps Engineer

As a DevOps Engineer at Kiz8 https://kiz8.com/ , you'll be the backbone of our infrastructure — building reliable, secure, and scalable environments that power AI-driven products and agentic systems. You'll work closely with our backend, data, and AI engineering teams to design modern deployment pipelines, automate workflows, and ensure smooth delivery of high-performance applications running on AWS and GCP.

Who We're Looking For:

• Engineers passionate about building next-generation AI infrastructure and products.

• Professionals who thrive in collaborative, fast-moving startup culture with ownership and impact.

• Individuals committed to continuous learning in AI, automation, and cloud innovations.

• Team members who love working alongside people obsessed with building intelligent systems.

• DevOps specialists who understand the unique needs of AI and agentic systems deployment.

Stack:

• Cloud Platforms: AWS (IAM, Lambda, ECS/EKS, S3) / GCP (Cloud Run, GKE, Cloud Storage)

• Containers & Orchestration: Docker, Kubernetes

• CI/CD: GitHub Actions, GitLab CI, Argo CD

• Infrastructure as Code: Terraform, Pulumi, CloudFormation

• Observability: Prometheus, Grafana, Loki, OpenTelemetry

• Scripting: Bash, Python, Go

• Version Control: Git (branching, reviews, versioning, tagging)

Qualifications:

• 3+ years of experience as DevOps / Cloud / SRE engineer.

• Proficiency with AWS and GCP (IAM, Lambda, ECS/EKS, Cloud Run, GKE, S3/Cloud Storage).

• Strong experience with Kubernetes, Docker, and container orchestration.

• Experience with CI/CD tools — GitHub Actions, GitLab CI, Argo CD, or similar.

• Experience with IaC — Terraform, Pulumi, or equivalent.

• Solid understanding of Linux systems, networking, and security fundamentals.

• Scripting and automation in Bash, Python, or Go.

• Strong Git workflows (branching, reviews, versioning, tagging).

• English — Intermediate+ and clear technical communication.

Preferred Qualifications:

• Experience deploying AI or agentic systems (LLMs, RAG, MCP, or custom ML pipelines).

• Familiarity with observability and tracing frameworks (Prometheus, Grafana, OpenTelemetry).

• Interest in AI-native infrastructure and automation.

• Contributions to open-source or visible side projects.

What We Offer:

• Work on next-generation AI infrastructure and products.

• Fully remote, flexible working hours.

• Collaborative, fast-moving startup culture with real ownership and impact.

• Continuous learning opportunities in AI, automation, and cloud innovations.

• Work alongside people obsessed with building intelligent systems.

• Compensation & Benefits:

• Comprehensive benefits package and professional development opportunities.

• Remote-first culture with flexible work arrangements.

Application Process:

• Send your CV and a short note about why you want to work at Kiz8

• Include links to your GitHub/GitLab.

• Provide examples of IaC or infrastructure projects you're proud of.

Next Steps:

• Initial review of your application and technical background.

• Technical interview focusing on infrastructure and DevOps practices.

• Final interview covering system design and cultural fit.