Top Senior DevOps Jobs in Atlanta, GA

Lead the design, development, integration, testing, and maintenance of real-time software for complex sensor hardware systems. Apply MBSE practices to Agile development, automate model and software workflows, manage system requirements, document architectures and APIs, conduct technical reviews, and support integration demonstrations. Collaborate with software engineers, principal investigators, and system engineers on large-scale C/C++ sensor systems and open architecture implementations.

Provides advanced technical support for HPE VM Essentials and Morpheus Enterprise deployments across on-premises, hybrid, and cloud environments. Leads critical escalations, incident resolution, root cause analysis, defect triage, and architectural guidance. Troubleshoots virtualization, compute, operating systems, storage, networking, and automation platforms. Develops support tools and processes, documents best practices, mentors engineers, and influences product quality and roadmap decisions.

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 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.

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.

Designs and leads enterprise application and platform solutions from architecture through deployment and operational support. Develops architectural standards, roadmaps, and conceptual designs; collaborates with enterprise architecture, development, infrastructure, security, and operations teams; mentors technical teams; leads code reviews; and supports outage resolution. The role requires expertise in Azure, platform architecture, APIs, content management systems, DevOps, cloud operations, and modern application delivery, plus dental insurance or healthcare industry experience.

Leads development, modernization, and production support for mission-critical IBM iSeries and RPG applications. Serves as the senior technical escalation point for Level 3 incidents, integrations, inventory systems, and operational workflows. Provides architecture guidance, code and design reviews, secure coding standards, stakeholder collaboration, mentoring, and technical direction. Drives modernization, observability, reliability, automation, AI adoption, and continuous improvement across engineering teams.

Designs, develops, integrates, and supports enterprise applications using .NET/C# and Salesforce. Builds APIs and integrations with ERP, data warehouses, marketing platforms, and SaaS applications. Performs advanced troubleshooting, production support, and root-cause analysis. Partners with stakeholders to define technical solutions, supports DevOps and CI/CD processes, establishes development standards, and mentors developers. Owns solutions from requirements through deployment while ensuring performance, security, scalability, reliability, and data quality.

Develop scalable Salesforce solutions across multiple clouds, translate business requirements into applications, and contribute to architecture and technical strategy. Build integrations using APIs and platform events, automate business processes, optimize system performance, and implement secure, maintainable custom solutions. Conduct code reviews, mentor junior developers, troubleshoot complex issues, and support production and sandbox environments. The role requires extensive Salesforce development, DevOps, integration, security, testing, and event-driven architecture expertise.

Leads a multidisciplinary team of Teamcenter developers and test automation engineers. Oversees PLM solution design, development, integrations, testing, quality automation, governance, security, platform stability, and continuous improvement. Manages people, vendors, resources, delivery risks, technical debt, KPIs, and production support while partnering with business stakeholders and global teams to deliver scalable enterprise solutions.

Manages Infrastructure, Middleware, and DevOps functions supporting secure, stable technology environments and services. Responsibilities include workload planning, client requirement delivery, incident command, root cause analysis, risk remediation, technology and security standards adoption, deployment tooling and process improvements, project delivery, service management integration, and team leadership. The role also mentors direct reports and oversees offshore and contract resources.

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.

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.

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.

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.

Defines and evolves enterprise systems architecture across IT systems, applications, integrations, data, cloud, infrastructure, security, and operations. Translates business capabilities and requirements into architecture models, roadmaps, design guidance, nonfunctional requirements, and delivery enablers. Supports SAFe and Agile planning, architecture governance, integration design, technical risk management, operational readiness, and continuous improvement. Collaborates with business, product, engineering, security, infrastructure, and operations stakeholders to deliver scalable, secure, resilient, supportable solutions.

Designs and delivers enterprise-scale data, cloud, hybrid, and on-premises solutions supporting analytics, reporting, integration, and business capabilities. Develops architecture designs, data platforms, APIs, and integration patterns while ensuring security, resiliency, governance, compliance, and regulatory alignment. Partners with engineering, infrastructure, security, data, enterprise architecture, and business teams; evaluates technologies and vendors; supports architecture governance, modernization, proof-of-concept initiatives, documentation, and technical decision-making.

Designs, develops, and leads scalable healthcare software solutions involving transaction processing, interoperability standards, integrations, and data platforms. Provides hands-on engineering, architectural leadership, quality ownership, risk management, technical mentorship, and cross-functional collaboration. The role requires building high-performance cloud-based SaaS solutions using microservices and serverless architectures, while guiding engineering strategy and ensuring secure, reliable delivery.

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.

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.

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.

Develop and maintain PowerUp Sports’ software platform, build and release new features, integrate technologies, optimize PHP applications on Azure, manage SQL Server databases, participate in code reviews, mentor junior developers, and support scalable, reliable architecture.

Build and operate scalable, reliable infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Responsibilities include managing EKS platforms, improving deployment pipelines, securing networking and IAM, enhancing observability, optimizing cloud costs, implementing disaster recovery, reducing operational toil, and modernizing legacy infrastructure. The role also leads incident response, reliability initiatives, platform adoption, and cross-team infrastructure projects.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.