Top DevOps Jobs in Atlanta, GA

Leads the architecture, modernization, optimization, reliability, and performance of enterprise IBM z/OS Db2 systems. Provides technical guidance across development and operations teams, automates DDL/DML processes, supports resilience and business continuity testing, resolves Db2 incidents, analyzes performance telemetry, improves SQL and database design, and partners with architects and stakeholders on enterprise technology strategy and hybrid-cloud modernization.

Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.

Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.

Leads development, modernization, and production support for enterprise IBM iSeries applications using RPG and Python. Serves as the Level 3 escalation point for critical inventory and transaction systems, resolving complex incidents, driving root-cause improvements, and ensuring operational continuity. Provides technical leadership across engineering teams, defines standards and architecture, supports integrations, mentors engineers, and partners with business and product stakeholders on modernization, reliability, observability, and AI adoption initiatives.

Support solutions and enterprise architecture activities by creating architecture documents and Visio diagrams, researching cloud, DevOps, generative AI, and machine learning trends, maintaining architecture repositories, and participating in technology project delivery. The intern will gain exposure to AWS, Azure, Google Cloud, CI/CD, GitHub, platform engineering, integration, analytics, and cross-functional collaboration while contributing innovative solutions.

Supports IT infrastructure operations through documentation, data analysis, server provisioning, cloud tool implementation, and introductory Linux, Windows, Oracle, and SQL administration. The intern may work with Terraform, Ansible, cloud platforms, and DevOps or ITSM concepts while collaborating with experienced administrators and technology teams. Responsibilities also include process improvement, technical design support, and presenting information to management.

Lead and mentor a software engineering squad while remaining hands-on with code reviews, design discussions, and occasional development. Own the software development lifecycle, drive sprint execution, remove blockers, ensure secure and high-quality delivery, and partner with product and engineering leadership. Support open-source contributors, communicate progress and risks, and guide engineers’ technical and professional growth.

Lead enterprise architecture strategy and design for scalable, secure, high-performing technology solutions. Define architecture roadmaps, integration patterns, data flows, cloud strategies, and governance standards. Provide technical leadership to engineering teams, guide modernization and DevOps initiatives, manage risks, and ensure compliance. Collaborate with business stakeholders, project teams, and partners to translate strategic objectives into technology solutions, resolve complex implementation challenges, and support successful delivery across distributed teams.

Leads the design, development, testing, deployment, and support of sophisticated trading software. Integrates real-time market data, ensures high performance and reliability for high-frequency trading, develops comprehensive test plans, conducts code reviews, debugs complex issues, mentors engineers, supports live systems, and drives continuous improvement, documentation, and disaster recovery planning.

Defines enterprise technical direction, architecture patterns, integration standards, and reusable platform capabilities. Leads AI-driven legacy modernization, AI-enabled SDLC practices, and responsible AI governance. Establishes architecture and engineering standards, resolves cross-functional design issues, influences technology strategy, and mentors engineering teams. Requires expertise in distributed systems, large-scale architectures, APIs, microservices, cloud, CI/CD, and DevOps.

Designs, develops, tests, operates, and maintains full-stack .NET software applications, APIs, and enterprise services. Responsibilities include writing production-ready code, creating scalable and reliable architectures, conducting code reviews, troubleshooting failures, improving operations, supporting production applications, and applying security, compliance, DevOps, and software reliability practices. The role requires collaboration with product, engineering, vendors, and business stakeholders.

A 12-month graduate program with two rotations developing software solutions across big data, AI, SRE, DevOps, cloud, and security engineering. Responsibilities include writing specifications, coding, code reviews, bug fixes, test-driven development, requirements analysis, troubleshooting, data modeling, and collaboration with stakeholders. Participants receive mentorship, training, and experience with AWS and Azure. Applicants must complete a computer science-related bachelor’s degree between May and December 2026.

Designs and develops architecture components for the Workspace ONE Intelligence Platform using Java, Spring, AWS, and open-source technologies. Responsibilities include full-cycle software development, API design, performance tuning, code and design reviews, technical leadership, and on-call support. The role requires expertise in cloud services, microservices, high-scale systems, DevOps, CI/CD, and AI-assisted development tools.

Designs and leads implementation of secure, scalable on-premises, hybrid, and cloud infrastructure solutions for Public Health data modernization. Responsibilities include enterprise analytics architecture, tool evaluations, MVP engagements, CI/CD pipeline development, cloud security, automation, governance, and cost optimization. The role collaborates with engineers, product teams, and stakeholders, leads technical teams, and supports federal IT and scientific-computing environments.

Design, develop, test, deploy, and maintain scalable enterprise software using .NET, C#, Java, Spring Boot, and AWS. Build REST APIs, microservices, and event-driven applications; implement CI/CD and DevOps practices; troubleshoot production issues; optimize performance and reliability; conduct code reviews; and collaborate with architects, product owners, and engineering teams in an Agile environment.

Leads the design, development, testing, and deployment of scalable full-stack SaaS applications. Builds features using ReactJS, TypeScript, NodeJS, PostgreSQL, and S3; resolves complex architectural issues; advances AI-native development; and drives cloud, DevOps, observability, and event-driven architecture practices. Collaborates cross-functionally, mentors engineers, represents technical strategy, and delivers customer-focused solutions for government agencies.

Designs, implements, and manages AWS infrastructure and Infrastructure as Code automation. Partners with application engineering, quality, security, and compliance teams to deliver reliable platform solutions. Owns platform stability, observability, incident response, security best practices, and zero-downtime deployments. Participates in on-call rotations, uses metrics for decision-making, and supports application architecture decisions while continuously improving DevOps processes and automation.

Leads the global software engineering organization, setting engineering strategy, overseeing delivery, architecture, modernization, DevOps, AI-enabled development, quality, security, and reliability. Builds high-performing engineering teams, manages budgets and resources, develops leaders, and partners with Product, Design, Customer Success, and executive leadership to deliver scalable SaaS products and unified data capabilities.

Leads the design, automation, deployment, monitoring, and security of Azure cloud infrastructure. Builds Infrastructure as Code with Terraform, Bicep, or ARM templates; manages CI/CD pipelines through Azure DevOps and GitHub; and implements monitoring, logging, alerting, incident response, patching, and vulnerability management. Collaborates with engineering, development, architecture, security, and incident management teams to improve system reliability, scalability, performance, and cost efficiency.

Design and implement real-time C/C++ software for RF sensor signal-processing systems. Develop and optimize CUDA GPU algorithms, translate MATLAB and Python prototypes, architect open-architecture components, and integrate software on embedded multi-core CPU/GPU platforms under strict latency requirements. Create tests and benchmarks, document designs, support technical reviews and proposals, collaborate across engineering teams, and travel approximately 20% for integration, customer meetings, and field demonstrations.

Conduct manual and automated software testing, create and maintain test plans and cases, identify and report defects, review requirements and design documentation, and support release management. Collaborate with product and engineering teams to ensure software quality and compliance with standards. The role also involves test automation, stakeholder quality reporting, and adopting tools and practices that improve QA efficiency.

Lead customer-facing architecture and delivery of secure, scalable Azure cloud, data, AI, and agent solutions from proof of concept through production. Engage technical and business leaders, guide governance, security, reliability, performance, and cost optimization, resolve delivery blockers, and drive customer adoption. Develop reusable architectures and accelerators, deliver technical workshops, support partners, generate cloud pipeline, and share expertise across Azure AI Foundry, Fabric, Databricks, GitHub, databases, application platforms, and DevOps.

Lead and architect scalable web systems, mentor frontend and backend developers, define coding standards and roadmaps, drive implementations using React/Next/Node/NestJS, produce technical documentation, conduct code reviews, and collaborate with product and DevOps to deliver secure, maintainable solutions.

Design and deliver complex backend systems and multi-component features with strong attention to scalability, reliability, testing, observability, and maintainability. Provide architectural guidance, mentor engineers, collaborate with Product and QA, communicate technical trade-offs, reduce technical debt, and improve delivery practices. This is a hybrid, on-site role in Sandy Springs.

Designs and delivers complex backend systems and multi-component features, making trade-offs among scalability, speed, cost, and maintainability. Builds reliable, observable, testable production systems; contributes to architecture; mentors engineers; collaborates with Product and QA; communicates technical risks; reduces technical debt; and drives engineering process improvements.