Top Remote Software Engineer Jobs in Atlanta, GA

Design and operate production infrastructure for AI agent systems, including high-performance Rust services for model inference, orchestration, and execution. Build scalable distributed systems, MLOps capabilities, observability, guardrails, and failure recovery for millions of users. Optimize latency, throughput, reliability, and cost while partnering with agent systems and infrastructure teams to harden experimental prototypes for production.

Build and maintain Soluna’s data center control systems and data infrastructure. Responsibilities include architecting Maestro, improving software testing and deployment practices, developing internal data products, managing AWS cloud infrastructure, debugging industrial interfaces, and creating reliable mission-critical applications using Elixir and other technologies.

Develop scalable Django back-end applications and RESTful APIs; design databases, schemas, ER diagrams, data flows, authentication, and authorization systems. Configure cloud infrastructure and production deployments, optimize PostgreSQL performance, write automated tests, and manage Linux servers with Bash, SSH, and shell scripting. Collaborate with cross-functional teams, document systems, and contribute to scalable architecture. This is a remote, unpaid internship requiring at least 30 hours weekly.

Build AI-enabled features for a legal technology platform, proactively improve products, and drive engineering projects from concept through completion. The role offers growth into independent contributor or engineering management responsibilities. The company focuses on using AI to support commercial contract negotiation and expand legal technology applications.

Develop and modify Android system services, privileged APIs, and OS-level AI integrations. Build interfaces for AI agents to interact with Android functionality while managing permissions, IPC, application lifecycles, background execution, performance, and resource consumption. Collaborate with agent engineers and debug Android Framework or AOSP components. Preferred experience includes custom ROMs, AOSP contributions, C++, System UI, background services, and power management.

Develop core infrastructure and horizontally scalable APIs for Elasticsearch. Solve complex performance, concurrency, stability, and operational issues; improve observability and developer productivity through automation and AI-enabled workflows. Lead cross-team projects, design APIs, support difficult customer issues, and own investigations through resolution. Collaborate across distributed engineering teams while contributing to open-source projects and maintaining secure, performant, and reliable platform functionality.

Own backend features from inception through production, develop and improve Kotlin services, write maintainable and well-tested code, and design scalable, reliable distributed systems within a small cross-functional team.

Build and scale backend infrastructure for AI-driven freight finance workflows, including document processing, APIs, data pipelines, audit engines, integrations, observability, and performance monitoring. Collaborate with AI/ML teams to productionize model outputs, integrate freight and financial systems, improve engineering practices, and make frontend updates as needed in a remote-first startup environment.

Build and maintain end-to-end applications using React, Golang, and Node.js. Leverage AI development tools to improve speed and quality, collaborate with product and design, contribute to deployment and DevOps, and own features from concept through release. The role requires proactive problem-solving, rapid learning, scalable system design, and a strong builder’s mindset in a fast-paced energy and logistics technology environment.

Develop and support Salesforce Service Cloud and enterprise integrations using Apex, LWC, Flows, APIs, and platform events. Lead complex technical implementations, testing, deployments, production issue resolution, and SDLC activities in an Agile environment. Collaborate with cross-functional stakeholders, ensure Salesforce best practices and security, mentor junior developers, document standards, and improve operational efficiency through automation and AI-enabled capabilities.