Senior DevOps Engineer – Kepler Platform

We are looking for a Senior DevOps Engineer. You’ll build and run the new AWS infrastructure for a knowledge-graph and LLM-powered platform used by 400+ people every month at a major automotive player, making it reliable and secure without slowing down frequent vendor releases. Engagement details:Location: Auburn Hills, MI, USAWorking model: HybridStart date: ASAPEmployment type: Full-time, Contract or Freelance Responsibilities:Build and run AWS infrastructure across IAM, networking, EC2, S3, ECS, EKS, multi-account integration, governance and cost controlRebuild and run workloads on Amazon EKS with Helm, including a Django backend and an LLM-based query serviceOwn the infrastructure as code in Terraform and Terragrunt/OpenTofuDesign CI/CD pipelines and image promotionMigrate and run Neo4j and MongoDB databases with minimal downtimeSet up monitoring, alerting and on-call, including health checks, early outage warnings, incident response and change notificationsApply security best practices: SSO/OAuth integration, secrets management (aws-vault, Terraform secrets) and least-privilege accessSupport the LLM layer migration, working with ML engineers on how LLM services are deployed and run Qualifications:5+ years in DevOps, SRE or platform engineering, including production experience on multi-account AWSHands-on experience with Kubernetes (EKS preferred), Helm and containers (Docker, ECR)Strong Terraform / OpenTofu skills (Terragrunt is a plus)Experience building CI/CD pipelines in GitHub Actions or similar toolsProduction experience running Neo4j and/or MongoDB, including backup and restore, performance tuning, upgrades and migrationsExperience setting up monitoring and alerting (CloudWatch, Prometheus/Grafana or Datadog) and taking part in incident responseGood scripting skills in Python or BashClear, proactive communicator who works well with external vendors and international teams Nice to have:Python/Django and React/Vite knowledge for debugging application deploymentsDeploying and running LLM/ML services, GenAI services such as Bedrock or AgentCore, and MLOps tools such as MLflow or DatabricksSSO/OAuth, secrets managers (AWS Secrets Manager, Vault), security reviews and infrastructure migration experience Next steps:Press “Apply”We will review your applicationIf qualified, you will be accepted into the network and can be considered for this and similar positions & projects