Senior DevOps Engineer - Remote

Overview

We are supporting an early-stage AI startup that is building a cutting-edge knowledge retrieval platform, designed to help enterprises and software teams unlock the full value of their data with AI that delivers trusted, accurate, and scalable results.

Their platform enables domain-optimized retrieval, retrieval-augmented generation (RAG), and real-time tuning, helping organizations tackle some of the most complex AI challenges: preventing hallucinations, scaling retrieval pipelines, and keeping AI grounded in dynamic enterprise data.

In Short

• Design and implement Infrastructure as Code (Terraform, Ansible)
• Build and optimize CI/CD pipelines (GitHub Actions, Jenkins, Bitbucket)
• Deploy and manage Kubernetes (AWS EKS) clusters and containerized applications
• Operate Kafka-based data pipelines for real-time data streaming
• Support hybrid infrastructure (cloud + on-premises)
• Implement AWS networking configurations (EC2, VPC, Transit Gateway, Route Tables)
• Write and maintain automation scripts (TypeScript, Python, Bash)
• Ensure observability, monitoring, and incident response readiness
• Collaborate with AI/ML, Data, and Product teams

Requirements

• Proven experience with Infrastructure as Code (Terraform, Ansible)
• Strong skills in CI/CD pipeline design (GitHub Actions, Jenkins, Bitbucket)
• Expertise in Kubernetes (AWS EKS) and container orchestration
• Experience operating Kafka and supporting data streaming pipelines
• Hands-on experience with hybrid cloud/on-premises environments
• Strong knowledge of AWS services (EC2, VPC, Transit Gateway, Route Tables)
• Proficient in TypeScript, Python, Bash
• Solid Git expertise and experience with source control best practices
• Experience with Linux and Windows environments

Benefits

• Opportunity to work with a highly skilled, collaborative team
• Tackle real-world AI engineering challenges
• Contribute to mission-critical AI systems used by enterprise customers