Top DevOps Jobs in Ann Arbor, MI

Build and maintain CI/CD pipelines and automated deployment workflows. Provision and manage AWS infrastructure using Terraform. Operate Kubernetes and containerized environments (EKS, ECS, Fargate) and tooling such as Argo Workflows. Support AI engineering platform adoption and partner with DevOps, Architecture, and Development teams to implement scalable, secure infrastructure patterns and internal developer tooling.

Design, implement, and maintain AWS cloud infrastructure; build CI/CD pipelines; implement IaC and container orchestration; monitor and secure systems; automate deployments; collaborate with developers; document architecture and procedures.

The role involves setting up and managing cloud infrastructure, implementing CI/CD pipelines, and programming in modern languages with a focus on DevOps practices.

Build and maintain cloud infrastructure and IaC across environments, improve CI/CD pipelines, manage monitoring/observability and on-call runs, lead incident response and post-mortems, optimize cloud costs, enforce infrastructure security and partner with developers to improve reliability and deployment workflows.

Build and maintain secure, compliant cloud infrastructure in AWS GovCloud for federal customers. Support FedRAMP ATO efforts, implement IaC (Terraform), manage CI/CD pipelines, automate compliance checks, enforce configuration baselines, and collaborate with Security, Engineering, and GRC to remediate findings and maintain authorization.

Maintain and operate CI/CD pipelines, containerized infrastructure, and AWS cloud environments (ECS/ECR Fargate). Monitor systems, support incident response, perform steady-state operational work, and ramp into existing tooling. Use Terraform/IaC and Python for automation; Kubernetes and cybersecurity experience are valuable. Collaborate with platform team to keep deployments reliable while scaling.

Design, build, and operate CI/CD pipelines, automate releases and environment promotion, manage build/artifact systems and container image workflows, integrate DevSecOps and compliance automation, instrument observability for build/release systems, and support release execution and incident response for a cloud-first SaaS platform.

The DevOps Engineer will design, build, and optimize cloud infrastructure and automation, ensuring security, scalability, and compliance for data protection solutions.

Own CI/CD, reliability, and deployment infrastructure for GTM systems (Salesforce, NetSuite, MuleSoft, Workato) and AI agent workloads on GCP and AWS. Build pipelines, observability, environment lifecycle, secrets management, IaC, container security, and runbooks. Partner with developers, Security, and IT to enforce guardrails, perform incident RCAs, and automate tooling to increase deployment safety and velocity.

As a DevOps Engineer at Quokka, you'll automate and manage systems in Azure, enhance application pipelines, collaborate with engineering teams, and implement CI/CD best practices.

Design, implement, and operate CI/CD pipelines for mobile and backend services; maintain build/test/release processes with quality gates and artifact management; configure non-production environments; support release preparation and deployment coordination; integrate monitoring/logging and improve automation, performance, and reliability of delivery pipelines.

Provide Linux system administration and Tier II support, manage AWS cloud infrastructure, automate provisioning and CI/CD, implement monitoring/alerting, configure DNS and web servers, use scripting (Python/Bash) and IaC tools (GitLab, Terraform, CDK), and support container orchestration (ECS/Kubernetes).

Design, build, monitor, and maintain on-prem and cloud infrastructure for enterprise production systems. Improve automation, CI/CD pipelines, performance, and incident root-cause analysis while collaborating with development, operations, and security teams.

Design, implement, and manage secure, scalable AWS infrastructure using IaC (Terraform/CloudFormation), CI/CD pipelines, container orchestration (Docker/Kubernetes/EKS), cloud security controls, monitoring, and disaster recovery while collaborating with development teams to support reliable application deployments for a VA project.

Lead design, deployment, and operation of Caldera's blockchain infrastructure. Build and expand DevOps pipelines, manage Kubernetes/AWS deployments, implement IaC (Terraform/Helm), enhance observability, optimize performance, and maintain infrastructure security for production rollup chains.

Designs and maintains secure, scalable backend services, microservices, APIs, AWS infrastructure, CI/CD pipelines, containers, and observability platforms. Implements Infrastructure as Code and DevSecOps controls, performs vulnerability management and incident troubleshooting, conducts architecture and security reviews, documents systems, collaborates across engineering teams, mentors engineers, and evaluates technologies to improve reliability and delivery.

Lead cloud, DevOps, and SRE architecture efforts to scale CareSource's digital platform. Partner with Cloud, DevOps, Security, and SRE teams to design infrastructure, build Terraform templates, enhance CI/CD pipelines, implement monitoring/alerting, and improve reliability, scalability, and incident response for enterprise-scale digital products.

Build and automate infrastructure while supporting migration to AWS. Develop internal engineering and AI-agent tooling, architect secure and highly available applications, modernize WordPress systems, troubleshoot complex environments, and provide rotating 24/7 on-call support. The role also requires designing AWS multi-account strategies, developing CI/CD pipelines, applying specification-driven development, monitoring systems, forecasting cloud costs, and supporting scalable web applications.

Lead the CI/CD platform delivery and reliability using Azure DevOps; define IaC/Terraform standards and multi-cloud AWS patterns; run zero-downtime and multi-region deployments; own observability, security scanning, and secrets management; evaluate AI/LLM platform needs; manage offshore senior developers and report roadmap, risks, and delivery metrics to engineering leadership.

The DevOps Engineer at TensorWave will develop platform integrations, build services and tools for automation, and ensure reliable system performance across multiple infrastructure systems, focusing on production-quality software development.

You will manage AWS infrastructure, automate deployments, debug application issues, and improve the operational health of Metabase Cloud.

Designs, develops, integrates, tests, deploys, and supports Salesforce solutions for public sector and DoD environments. Builds Apex, Lightning Web Components, Visualforce, OmniStudio, and Flow solutions; manages Salesforce DevOps processes, CI/CD pipelines, version control, releases, and multi-environment deployments. Troubleshoots defects, data migrations, interfaces, and performance issues; conducts code reviews, collaborates with stakeholders and cross-functional teams, and mentors junior developers.

Design, build, and operate highly available GCP infrastructure for trading-critical systems. Own Terraform-based Infrastructure-as-Code, GitOps workflows, CI/CD pipelines, Kubernetes and GKE operations, observability, networking, data stores, and message brokers. Build self-service developer platforms, implement SRE practices, manage incidents and postmortems, and participate in a global follow-the-sun on-call rotation.

Build and maintain secure, compliant software for a CDC disease surveillance platform. Partner directly with health departments during onboarding, migration, and troubleshooting; diagnose product gaps and configuration issues; develop scripts, integrations, and configurations without forking the core platform; collaborate with platform, data, and epidemiology teams; and identify recurring jurisdiction needs for future product features.

Lead and mature AWS platform operations and DevOps practices, automate infrastructure and deployments, migrate complex workloads to AWS, design Kubernetes and serverless solutions, integrate AI/ML platform capabilities, troubleshoot complex systems, and coach teams while upholding organizational faith and child protection commitments.