Top DevOps Jobs in Atlanta, GA

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

Design, build, and maintain full-stack features for a veterinary marketplace. Work across React Native mobile and backend services (Node/Express), write tests (Jest, Cypress), resolve production issues, improve observability, partner on CI/CD and deployments, mentor junior engineers, and contribute to architecture and scalability.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Lead the architectural design of Energy Management Systems (EPMS) products, focusing on cloud-based applications, microservices, and integration with electrical distribution systems.

The role involves supporting and improving software delivery pipelines, automating cloud infrastructure, and troubleshooting across pipelines, cloud, and configuration.

Design, execute, and maintain automated tests for web, API, and application platforms. Perform manual and regression testing, analyze results, manage defects, conduct root cause analysis, and report quality metrics. Serve as a client-facing QA representative, participate in Agile ceremonies, collaborate with cross-functional teams, and recommend improvements to automation frameworks and testing processes.

Build, operate, and improve cloud-native infrastructure for an enterprise data platform. Implement IaC and container orchestration, automate CI/CD and Git-based delivery, enhance observability and reliability, support AI/ML model-serving and data storage/messaging platforms, and collaborate on security, scalability, and operational tooling.

Lead and grow software teams delivering the Supervisory Control Platform, driving delivery planning, execution, quality gates, and cross-functional alignment. Ensure scalable architecture, secure hybrid connectivity between on-premise systems and cloud services, strong engineering practices, and operational readiness. Partner with Product, Architecture, Controls, QA, and DevOps to prioritize roadmaps, manage dependencies, and improve process maturity and release predictability.

Design, develop, customize, integrate, test, deploy, and support Microsoft Dynamics 365 (Customer Service) solutions. Configure entities/processes, build plugins/workflows, integrate with enterprise systems, troubleshoot production issues, and collaborate with stakeholders in an Agile environment.

Assess, design and improve AWS/Azure cloud environments for security, cost, networking, storage, serverless and containerized deployments. Provide L2+ incident support, create SOPs, mentor junior staff, support Linux/Windows servers, document architecture, participate in governance/change processes, and join a 24/7 on-call rotation.

Lead and grow a platform and infrastructure engineering team (Infrastructure/SQL reliability, Developer Experience, or Tooling). Hire, mentor, and manage delivery of quarterly roadmaps; remain technically engaged in design and code reviews; partner with product, SRE, and security to drive reliability, observability, CI/CD, and platform strategy. Own toolchain, reliability goals, and foster a culture of ownership and continuous improvement.

Leads IT engineering strategy, teams, and delivery across infrastructure, cloud, networking, compliance, and client implementations. Oversees enterprise and hybrid-cloud solutions, automation, monitoring, DevOps, security compliance, and continuous improvement. Partners with executives, service delivery, sales, account management, and clients on roadmaps, technical solutions, proposals, and business outcomes. Ensures projects meet scope, budget, quality, security, and client requirements while driving scalable MSP services.

Design, develop, and maintain enterprise MuleSoft applications and APIs in a private cloud, integrating with AWS and external systems, producing API documentation, and supporting deployment in a DevOps environment.

Develop and deliver features for large-scale web applications using full-stack technologies across React, TypeScript, Node.js, Microsoft, and cloud stacks. Collaborate in agile Scrum or Kanban teams with architects, QA, product management, and stakeholders. Contribute to CI/CD, DevOps, troubleshooting, performance, security, and continuous improvement while building high-quality software solutions.

Leads engineering strategy, teams, architecture, modernization, and delivery for enterprise marketing platforms. Oversees digital experiences, customer engagement solutions, websites, content management, integrations, analytics, security, reliability, governance, and operational support. Partners with Marketing, Communications, Product, UX, Data, Architecture, and business stakeholders to align technology investments with customer and business goals. Requires extensive technology leadership experience, expertise in cloud and API-driven architectures, and experience managing large engineering portfolios in complex or regulated environments.

Hands-on Software Architect to design and build full-stack, AI-enabled SaaS products and internal tools. Define architecture, reusable components, CI/CD, security, and AI-assisted development practices. Write production code, lead technical decisions, integrate LLMs/RAG/agents and vector search, and establish standards for deployment, testing, and maintainability while accelerating prototype-to-MVP delivery.

Remote Senior Software Engineer who evaluates Microsoft and complementary technologies, designs and implements custom software (C#, JavaScript, SQL), applies cloud and DevOps practices (Azure/AWS, CI/CD, containers), mentors and networks professionally, and continuously learns and advises clients.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Design, develop, and maintain core platform infrastructure for an Agentic AI product. Lead foundational components, collaborate with cross-functional and ML teams, support production systems, troubleshoot performance and scalability, and cultivate developer-friendly frameworks and practices to enable large-scale distributed, AI-oriented workloads.

Hands-on Senior DevOps role to design, automate, and operate scalable AWS infrastructure and Kubernetes platforms. Responsibilities include Terraform-based IaC, CI/CD optimization, observability with DataDog, networking/IAM/secrets management, cost and disaster-recovery improvements, incident response leadership, refactoring manual infrastructure into automated systems, and partnering with engineering to increase reliability and deployment velocity.

Lead client consultations, design scalable multi-cloud solutions and automated lab environments, create and deliver cloud training curricula, mentor engineering and instructor teams, support presales cost estimation and close deals, and keep CloudLabs offerings current with emerging cloud and AI technologies.

Develop and maintain automated test frameworks and scripts, execute manual and automated test cases, identify and track defects, perform regression testing, collaborate with developers and cross-functional teams, and support CI/CD and testing processes across platforms (including mobile, API, and database).

Senior engineering leader responsible for architecture, delivery, operations, reliability, and scalability of the enterprise Data Lakehouse. Leads cross-functional teams, defines platform SLAs, cost and quality targets, drives platform adoption and best practices, manages vendor/cloud relationships, ensures regulatory and data security compliance, and enables self-service analytics and AI/ML platform enablement.

Lead and mentor a cross-functional engineering team to deliver scalable, cloud-native SaaS features. Hands-on coding (20–30%), drive architecture, observability, CI/CD, incident response, and continuous improvement while collaborating with Product, Security, and Operations to meet KPIs and business outcomes.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.