Top DevOps Jobs in Memphis, TN

Teravision Technologies seeks a DevOps Engineer with 4+ years of AWS experience, proficiency in Terraform, Python automation, and knowledge of containerization and Docker for remote work.

Design, build, and operate enterprise-scale multi-cloud infrastructure (primarily Azure, also AWS). Implement IaC (Terraform, ARM/Bicep, CloudFormation), CI/CD (GitHub Actions), monitoring, security/compliance, FinOps, automation scripting, and platform engineering to support reliability, performance, and AI/ML workloads.

Seeking a Lead DevOps Engineer for deploying health IT solutions on AWS, with expertise in CI/CD, Terraform, and Windows environments. Must have experience leading teams and managing DevOps practices.

The DevOps Engineer will manage cloud services, automate builds, collaborate with partners, and enhance system infrastructures for improved efficiency.

Design, implement, and maintain scalable, secure multi-cloud infrastructure (Azure and AWS) using IaC; build and optimize CI/CD pipelines; automate operations and database deployment; implement observability and security controls (HIPAA/SOC2); lead incident response and mentor engineers.

Design, build, and document CI/CD pipelines with GitHub Actions; provision infrastructure with CloudFormation and Terraform; manage AWS services (ECS, S3, Lambda, RDS); support Docker containers and Linux systems; and help define data science tooling (SageMaker, DataZone, Athena) while collaborating in an Agile team.

Build, manage, and scale cloud infrastructure using Terraform/IaC on AWS; automate deployment pipelines; maintain system reliability and security for a real-time data detection platform.

Loti AI seeks a DevOps engineer for decentralized infrastructure to deploy, scale, and maintain distributed systems, manage IPFS clusters, and oversee blockchain nodes.

The Lead DevOps Engineer will design scalable AWS infrastructure, manage CI/CD pipelines, oversee network security, ensure SOC 2 compliance, and mentor a diverse team.

The DevOps Engineer will design and develop infrastructure solutions for cloud services, focusing on scalability, high availability, and security while impacting healthcare outcomes.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

The DevOps Engineer will build infrastructure for sequencer software, manage cloud environments, and assist with CI/CD pipelines.

Design, automate, and scale Azure-based infrastructure and CI/CD using IaC (Terraform/Bicep/ARM) and Azure DevOps. Build pipelines, manage AKS and containers, implement observability and security, drive reliability engineering, standardize reusable platform patterns, and mentor engineering teams on DevSecOps best practices.

As a DevOps Engineer II, you will build and scale a SaaS platform, manage infrastructure-as-code, develop data pipelines, and enhance team productivity while collaborating across teams.

The Lead DevOps Engineer will improve cloud infrastructure, drive DevOps best practices, mentor engineers, and ensure system reliability and performance.

Maintain and improve cloud infrastructure across multiple countries, manage Kubernetes and CI/CD, optimize performance and costs, handle monitoring and security audits, lead deployments, and mentor junior team members.

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.

Design and develop internal services and deployment automation tools in Go; build and maintain GitLab CI/CD pipelines; manage Kubernetes production and pre-production environments; evolve internal deployment platform (Packman); implement IaC with Terraform and Ansible; optimize ephemeral/stage environments; improve observability with Grafana/OpenSearch/Prometheus; collaborate with engineering teams to enhance developer experience and delivery speed.

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

Lead design and operation of scalable AWS/GCP cloud infrastructure. Build and operate Kubernetes (EKS), Docker, Terraform/Terragrunt, Helm and GitOps workflows. Improve CI/CD with GitHub Actions and ArgoCD, implement monitoring and observability, strengthen security, disaster recovery, and developer self-service automation to improve platform reliability and productivity.

Lead architecture, implementation, and optimization of Azure cloud infrastructure across multiple subscriptions. Build IaC standards and automation, mentor engineers, support mission-critical applications, improve deployment speed and cost control, monitor system health, participate in on-call rotation, and collaborate with cross-functional teams to deploy scalable, secure, production-grade systems.

Design, build, and operate secure, compliant AWS environments using Terraform and automation. Build CI/CD pipelines, security automation, observability, and support containerized and serverless workloads. Contribute to ISO 27001/SOC 2 compliance, create developer tooling, and troubleshoot complex platform issues in a distributed team.

Owner of infrastructure-as-code, CI/CD, mobile release automation, data pipelines, and monitoring. Define and scale AI-driven developer tooling and practices, embed on product teams, and enable engineers via documentation, demos, and reusable tools.

Lead and maintain platform infrastructure-as-code, CI/CD, mobile release automation, data pipelines, and monitoring. Define and roll out AI-driven developer tooling and agent workflows, embed on product teams, and scale practices via documentation, demos, and shared tooling across engineering.