Top Senior Software Engineer Jobs in Atlanta, GA

Develop and integrate autonomy and mission systems software for sensing platforms, implement real-time Modern C++ applications from higher-level algorithms, lead small teams, perform M&S and live testing using LVC infrastructure, and engage with customers to shape requirements and deployments.

Build and govern enterprise AI platform integrations on AWS Quick, including connectors, authentication, ingestion pipelines, agents, access controls, DLP, observability, cost tracking, evaluation frameworks, and feedback APIs. Improve the AI Artifact Hub, ensure reliability and security, mentor engineers, review designs, and collaborate with domain teams and AWS technical staff. Participate in on-call support and guide architecture and engineering standards.

Develops, enhances, and maintains COBOL mainframe applications using DB2 and JCL. Supports ACH payment processing, NACHA compliance, batch operations, system testing, performance monitoring, troubleshooting, and production issue resolution. The role designs and deploys application enhancements, improves system efficiency, manages risk and change controls, collaborates with technical and business teams, and mentors junior engineers. This is an onsite position near Birmingham, Charlotte, or Atlanta.

Lead platform and developer experience initiatives that improve engineering velocity, reliability, and system performance. Build reusable Node.js, TypeScript, Nest.js, and React.js patterns; optimize PostgreSQL and Kafka systems; manage Kubernetes and ArgoCD deployments; modernize legacy code; improve CI/CD and observability; and mentor engineers. Translate ambiguous technical challenges into roadmaps, lead cross-team architecture work, and strengthen engineering practices through coaching, documentation, and workshops.

Own the design, implementation, operation, and improvement of third-party integrations, public APIs, SDKs, and internal connectors. Build resilient event-driven workflows using Kafka and Redis, optimize PostgreSQL schemas and queries, operate Kubernetes services, manage production incidents, and lead refactoring efforts. Provide technical leadership through system design, code reviews, mentoring, and cross-functional communication while ensuring reliable, versioned, high-performance integration systems.

Lead architecture, full-stack development, and delivery across web, mobile, backend, and AWS serverless platforms. Design event-driven systems, APIs, CI/CD pipelines, infrastructure as code, observability, and deployment strategies. Prototype and validate solutions using Claude, Amazon Bedrock, and other GenAI tools. Provide technical leadership, review designs and code, resolve production issues, mentor engineers, establish AI engineering practices, and participate in rotational on-call support.

Designs and develops data engineering services supporting machine learning and agentic initiatives. Responsibilities include data ingestion, governance, derivation, discoverability, retrieval, and serving using distributed systems and cloud infrastructure. The role involves building scalable production services, CI/CD pipelines, monitoring, testing, deployment, performance optimization, and on-call production support. Collaboration, clean object-oriented code, and operational ownership are emphasized.

Designs, develops, tests, maintains, and supports secure production software and cloud infrastructure. Builds scalable, resilient microservices and APIs, works with databases and event-driven systems, and delivers through Agile, Git, automated testing, and CI/CD practices. Participates in architecture decisions, observability, incident response, code reviews, and rotating on-call support. Owns ambiguous work through release, decomposes tasks, mentors teammates, and communicates with technical and non-technical stakeholders.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

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.

Build and maintain Cloudflare’s globally distributed Quicksilver key-value store using Go and C. Develop features, improve CPU and memory performance, enhance monitoring and operational tooling, and debug complex, hard-to-reproduce issues across the software stack. Responsibilities include code reviews, testing, deployments, rollbacks, operations, alerting, and on-call support for a system operating across tens of thousands of servers and hundreds of data centers.

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.

Design, build, and own scalable microservices and secure APIs that transfer value across blockchain and banking protocols. Extend in-house blockchain infrastructure, integrate with banks and cloud services, troubleshoot production issues, document system and testing procedures, and collaborate with product and engineering teams to deliver reliable payment experiences.

Leads Slack frontend infrastructure initiatives focused on performance, scalability, resiliency, reliability, and developer productivity. Designs and evolves core systems including WebSocket infrastructure, boot processes, React and Redux layers, logging, and alerting. Drives architectural decisions, large-scale modernization efforts, cross-team alignment, technical strategy, mentoring, and knowledge sharing.

Designs, develops, tests, maintains, and supports secure production software and cloud infrastructure. Builds scalable, resilient services using modern object-oriented languages, microservices, APIs, databases, messaging, containers, and public cloud platforms. Applies automated testing, CI/CD, observability, Agile practices, and secure software engineering principles. Owns ambiguous technical problems through delivery, decomposes work, mentors others, collaborates with technical and business stakeholders, and may participate in rotating on-call support.

Designs, develops, tests, maintains, and operates secure production software and cloud infrastructure. The engineer works across teams on architecture, scalable microservices, APIs, databases, asynchronous processing, observability, and resilient systems. Responsibilities include end-to-end ownership, automated testing, CI/CD delivery, production support, incident response, Agile collaboration, mentoring, and raising engineering standards. The role may include rotating after-hours on-call support.

Design and develop scalable REST APIs, web services, and cloud-native platform capabilities using Java and Spring Boot. Assess backend and user-interface integration approaches, identify requirements with cross-functional teams, and improve engineering quality through automation, testing, observability, and AI-assisted development. Work with distributed architectures, modern web technologies, AWS, large-scale data platforms, and event-driven systems while supporting Mastercard’s cloud transformation and global marketing solutions.

Design, deliver, and maintain a highly available application platform. Build observability, define SLIs/SLOs, manage error budgets, reduce alert noise, automate operations and incident response, embed with product teams to catch reliability risks, and develop/integrate AI/LLM tools for operational intelligence and faster incident resolution.

The Software Engineer will design and implement software capabilities, focusing on Java development, APIs, and microservices in a collaborative team environment.

Seeking a Staff Cloud Software Engineer to architect and manage scalable cloud systems on AWS, improve security, and mentor engineers.

Design, build, and maintain scalable, high-performance backend/platform services. Own ClickHouse table design and production operations, troubleshoot performance and ingestion issues, collaborate with product and security teams, participate across SDLC (testing, deployment, production support), and promote engineering best practices and CI/CD-driven DevOps workflows.

As a Software Developer, you will develop and maintain applications, collaborate with business partners, participate in code reviews, and mentor junior developers while ensuring high-quality technology solutions.

Lead technical design and delivery of scalable, cloud-native SaaS solutions. Drive architecture and implementation across frontend and backend stacks, mentor engineers, apply AI/agent workflows and NLP, ensure high availability, and collaborate with product and cross-functional teams to ship reliable, production-grade systems.

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.

Develop and maintain NCR Voyix's cloud platform services and APIs for high-performance, scalable, resilient systems. Write clean, well-tested code, implement RESTful APIs, work with databases, and apply distributed design patterns and automated testing within agile scrum teams.