Top Software Engineer Jobs in Atlanta, GA

Build and operate AI agent systems with customer engineering teams, helping move prototypes into reliable production systems. Design agents, improve evaluations, monitoring, scaling, and reliability, and train customers on the Mastra framework. Translate recurring customer challenges into open-source framework improvements, fix performance issues, ship new primitives, improve code quality, and influence the product roadmap through production insights.

Lead an engineering team delivering automated month-end close pipelines for client accounting teams. Oversee ERP integrations, SQLMesh and DuckDB transformations, journal-entry outputs, controls, reconciliations, exception handling, and approval workflows. Maintain architectural boundaries across Elixir, Python, and platform components while converting bespoke client solutions into reusable capabilities. Manage technical roadmaps, multiple client engagements, engineering standards, and team development while partnering with accounting, delivery, technology, and product stakeholders.

Develop full-stack mission planning and command-and-control software for space communications programs. Build responsive interfaces with modern JavaScript frameworks, backend services and APIs using Python and SQL, and containerized applications. Own features through testing and deployment, write automated tests, collaborate with QA and cross-functional teams, and improve software usability, security, performance, and reliability in highly secure government environments.

Join a remote engineering team to write, test, and maintain code under senior guidance; participate in code reviews, standups, and sprint planning; debug and resolve application issues; and continuously learn new technologies and best practices.

Develop, test, implement, optimize, and maintain scalable software systems. Collaborate with product managers, designers, and engineers; troubleshoot technical issues; conduct code reviews; contribute to architecture decisions; follow secure coding practices; and participate in Agile ceremonies.

Build full-stack AI-powered video creation and collaboration tools, including rich multimedia interfaces, backend APIs, server-side processes, LLM-powered features, and conversational experiences. Work with generative AI, computer vision, and machine learning models in production. Improve system performance, reliability, and code quality while rapidly prototyping and delivering product features in a collaborative, high-ownership environment.

Design and evolve a high-availability, low-latency trading backend. Translate product requirements into technical designs, lead monolith-to-microservices decompositions, define architecture standards, and ensure operational resilience and scalable real-time stream processing in production.

Lead delivery and technical execution for an AI-driven pipeline integrity platform spanning data architecture, engineering, data science, application engineering, and QA. Remain hands-on through coding, design reviews, prototyping, debugging, and quality oversight. Manage compliance, security, audit readiness, release planning, hiring, team development, and cross-functional collaboration. Ensure platform outputs are traceable, reproducible, secure, and delivered predictably against phased milestones.

Design, implement, and operate features for Temporal’s open source distributed systems server. Solve challenges involving scheduling, task processing, workflow execution, persistence, quotas, visibility, and performance. Improve reliability through testing, observability, dashboards, alerts, runbooks, and documentation. Collaborate across engineering and product teams, participate in design reviews, contribute to developer experience, and mentor junior engineers.

Lead development of high-performance Rust parsers, compilers, automata, indexes, and data structures for structured language-model generation. Optimize decoding-loop performance through profiling and benchmarking, integrate Python bindings and C++/CUDA components into inference engines, collaborate across teams, and maintain production-quality code through testing and CI/CD.