DevOps Engineer

About the Role

Were looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast reliable secure and cost-efficient. Youll set up the cloud deployment and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond.

What Youll Do

• Design provision and manage cloud infrastructure (AWS GCP or Azure)
• Build and maintain CI/CD pipelines for fast safe automated deployments
• Implement infrastructure-as-code (Terraform Pulumi or similar) for reproducible environments
• Containerize and orchestrate services (Docker Kubernetes) as the system grows
• Set up observability: monitoring logging alerting and tracing across the stack
• Manage and optimize the cost latency and reliability of LLM and AI workloads
• Own security secrets management and access controls across environments
• Establish backup disaster-recovery and incident-response practices for the pilot

Qualifications :

• 4 years of DevOps SRE or infrastructure engineering experience
• Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)
• Proficiency with infrastructure-as-code tools (Terraform Pulumi CloudFormation)
• Experience with containerization and orchestration (Docker Kubernetes)
• Solid CI/CD experience (GitHub Actions GitLab CI CircleCI or similar)
• Strong scripting skills (Bash Python or Go)
• Experience implementing monitoring and observability tooling (Prometheus Grafana Datadog etc.)
• Security-first mindset and experience with secrets and access management

Additional Information :

• Experience managing infrastructure for AI/ML or LLM-heavy workloads
• Familiarity with cost optimization for high-throughput API usage
• Experience with GPU infrastructure or inference serving
• Early-stage experience standing up infrastructure from scratch

Remote Work :

Yes

Employment Type :

Full-time