Top DevOps Jobs in Atlanta, GA

Lead technical design and delivery of large-scale, cloud-native marketing platforms. Build distributed Java/Spring Boot services, REST APIs and web frontends, drive platform modernization on AWS/Databricks, champion quality, observability, automation, and GenAI adoption, and lead cross-functional engineering teams.

Lead architecture and full-stack development on a Microsoft/Azure platform. Design and implement scalable, secure cloud applications (C#, .NET Core, SQL, Angular), drive CI/CD and DevOps best practices, mentor engineers, enforce design patterns and testing standards, participate in architectural reviews, and support platform modernization and production reliability.

Senior Software Engineer designs, develops, tests, and maintains cloud-native applications using TypeScript, Java, Node.js, and React. Drives technical excellence, mentors junior engineers, applies secure coding and DevOps practices, leverages AI-assisted tools, and participates in architecture, modernization, and troubleshooting to deliver scalable, resilient systems.

Design, develop, and maintain automated tests and frameworks for front-end and back-end systems. Execute functional, regression, and performance tests; collaborate with developers and product teams to find and resolve defects; contribute to CI/CD and testing strategy, documentation, and best practices.

Lead design and implementation of scalable, cloud-native, event-driven microservices on AWS. Decompose monoliths, optimize relational/NoSQL data models, improve reliability, performance, and testing, collaborate with product, design, QA, and DevOps, and drive platform architecture and roadmap for a multi-tenant SaaS identity security platform.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

Design and lead solution architecture for complex, multi-system web and cloud applications. Establish architecture vision, create solution options, guide stakeholders and development teams, perform technology evaluations and POCs, support vendor selection, and ensure adherence to architecture standards and roadmaps.

Lead architecture, modernization, and development of Group Insurance applications. Modernize mainframe monoliths into Java microservices and micro-frontends on cloud, mentor distributed Agile teams, collaborate with enterprise architecture, product owners and infrastructure, and enable test automation and integrations. Approximately 10% domestic travel.

Lead ServiceNow implementations for enterprise customers: design, develop, integrate, and maintain scalable ServiceNow solutions (ITOM, Discovery, Service Mapping, AIOps). Build custom scripts and integrations, troubleshoot, participate in SCRUM, and work directly with customers to deliver projects on time.

Lead Quality Engineering teams focused on ERP automation testing. Manage client accounts, enforce QA standards and processes, mentor and develop staff, plan and deliver projects, collaborate with Product and DevOps teams, support UAT and QA environments, and drive continuous improvement using tools like JIRA and Azure DevOps.

Lead quality assurance and test strategy across Agile teams, drive automation for testing, mentor QA teams, and ensure high-quality software delivery.

Design, build, and operate cloud-native, enterprise-grade SaaS services on Azure. Lead architecture and design, develop APIs and UIs, apply AI-enabled engineering tools, ensure observability, support production incidents, and drive reliability, performance, and CI/CD improvements across teams.

Develop, test, and maintain full-stack applications including React UIs, APIs, and backend services. Lead cloud modernization efforts (AWS/Azure), build scalable secure microservices, implement CI/CD and DevOps automation, collaborate in Agile teams, troubleshoot production issues, and improve performance, reliability, and security.

Lead design and implementation of secure, scalable cloud solutions for Public Health data modernization. Architect and deploy AWS and hybrid cloud applications, guide engineering teams, enforce cloud governance and CI/CD practices, and troubleshoot IaaS and Linux/Unix environments.

Design and lead enterprise application delivery and DevOps architecture. Develop CI/CD, cloud/PaaS, containerization, resiliency, monitoring, and integration solutions. Translate enterprise architecture into logical designs, mentor teams, and ensure delivered solutions meet functional, performance, and operational requirements.

Lead Dynatrace and Azure observability efforts: design and implement telemetry, DQL/KQL analytics, dashboards, alerts, and automation; enable mobile and .NET observability; troubleshoot Azure Functions, APIs, and distributed systems; perform RCA, reduce incident recurrence, and drive SRE best practices and automation.

Lead day-to-day production operations for the Merchant SaaS portfolio, driving reliability, scalability, and operability via SRE and platform engineering practices. Own service reliability outcomes (SLOs/SLIs, MTTD/MTTR), observability, AI-driven incident detection/triage, change governance, and service delivery. Mentor and grow a dispersed operations team, collaborate with product and engineering, and enable cloud-native, regulated financial services platforms.

Lead design, implementation, and maintenance of scalable, highly available Windows infrastructure. Provide architecture and operational oversight, configure complex solutions, perform POCs and testing, support development teams with design and performance guidance, and lead large-scale migrations, upgrades, and integrations.

Lead design and implementation of automated test frameworks and end-to-end test strategies for NCR Voyix solutions. Develop BDD tests, API and database automation, define test scenarios, perform root-cause analysis, mentor junior engineers, manage QA environments, collaborate across engineering teams, and support customer engagements (20% travel).

Lead maintenance and enhancement of Business Management Reporting and Account Retention Tool on a .NET stack. Drive cloud migration from on‑prem to private/public cloud, collaborate with developers, BAs, and business stakeholders, design and implement solutions, test, train users, and support rollouts in an Agile/DevOps environment.

Lead and implement pod-wide test automation strategy across applications, APIs and data pipelines. Design and execute functional, automation, data and AI-assisted testing. Embed GenAI into testing, improve QA practices, collaborate with product and squads, and provide QA metrics and dashboards to drive quality and efficiency.

Lead end-to-end system development and maintenance for enterprise platforms. Drive architecture, technical standards, vendor evaluation, performance and security improvements. Build AI agents, MCP tools, API/AI gateways, chatbots, and workflow automations. Coordinate cross-functional teams, on-call support, testing, and deployment while mentoring others and recommending technology investments.

Lead design and delivery of PLM, master data, and analytics solutions. Partner with stakeholders to model data, build Azure/Power BI dashboards, develop Power Platform apps, automate processes, ensure data governance and compliance, troubleshoot issues, and provide end-user support and training.

Lead incident root-cause analysis and prevention across cloud, applications, and infrastructure. Use observability data, automation, and AI-assisted analysis to produce postmortems, drive corrective actions, and implement long-term reliability improvements with engineering teams.

Lead enterprise quality engineering strategy to embed automated, shift-left testing and hard release-readiness gates across digital products. Build CI/CD-integrated verification models, enforce unified acceptance criteria, govern predictive risk metrics and post-launch escape audits, and scale vendor testing resources while automating compliance and audit validation.