Top Software Engineer Jobs in Atlanta, GA

Build and operate healthcare platform features across React, backend services, APIs, PostgreSQL, AWS, integrations, and production infrastructure. Develop patient and care-management workflows, payer and healthcare interoperability integrations, resilient asynchronous processing, security controls, monitoring, CI/CD, testing, and recovery capabilities. Troubleshoot the full stack while supporting HIPAA-compliant PHI handling and governed AI-enabled workflows.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

Build and evolve scalable backend systems and APIs for a large SaaS platform. Partner with Product, Design, and QA from ideation through deployment, contribute to microservices architecture, improve testing and observability, identify operational risks, and mentor teammates. The role emphasizes reliable, maintainable solutions, strong collaboration, architectural decision-making, and continuous improvement.

Develops and supports software applications. The posting requires U.S. citizenship or naturalized citizenship and mandates that all work be performed within the continental United States, Alaska, or Hawaii.

Senior full-stack product engineer responsible for owning features end to end, from clarifying requirements and defining acceptance criteria through development, testing, deployment, monitoring, and production support. The role builds across React, TypeScript/Node.js, PostgreSQL, and AWS, uses AI-assisted development and QA tools, writes unit and end-to-end tests, and collaborates closely with tax-domain product owners in a small engineering pod.

Leads and grows the engineering organization, sets technical strategy and roadmap, oversees execution across multiple teams, and provides technical direction on architecture, scalability, reliability, security, and quality. Partners with Product, Design, Operations, Risk, and the CTO to deliver customer-focused financial products. Responsibilities include recruiting and developing engineering leaders, improving processes, removing organizational bottlenecks, and balancing product delivery with long-term platform and infrastructure investments.

Own the architecture, development, and maintenance of Nebulock’s customer-facing security platform across the full stack. Build product experiences including threat intelligence and detection query tools, improve scalability and maintainability, establish engineering standards, shape the technical roadmap, collaborate across product and security teams, and mentor engineers.

The Principal Software Engineer will embed with product teams to solve complex technical problems, deliver production code, and make application and service-level architectural decisions. The role owns shared services, reliability, performance, incident response, and cross-system issue diagnosis. It also leads solution design, mentors engineers through influence, supports multiple products and domains, and establishes effective standards for AI-assisted software development.

Lead the technical architecture for post-sales Customer Success, Renewals, Professional Services, Support, and GTM Operations. Build automation, AI capabilities, integrations, workflows, customer intelligence, and shared data models that improve retention, renewals, efficiency, and customer engagement. Establish engineering standards and technical direction across GTM systems while partnering with business leaders, engineers, and the Pre-Sales GTM Engineer.

Build and deploy AI solutions for clients, including agentic workflows, RAG systems, structured extraction, OCR and document-processing pipelines, retrieval systems, evaluation harnesses, and lightweight interfaces. Translate ambiguous client problems into production code, drive engagements from discovery through deployment, collaborate with stakeholders, and contribute to internal platform capabilities and engineering practices.