Top Remote Software Engineer Jobs in Atlanta, GA

Design, develop, and maintain Java-based backend services and APIs for KeeperApp. Own backend components, optimize MySQL schemas/queries, ensure performance and reliability, apply secure coding practices, participate in code reviews, and collaborate with product and engineering teams to deliver features iteratively.

Remote Senior Software Engineer who evaluates Microsoft and complementary technologies, designs and implements custom software (C#, JavaScript, SQL), applies cloud and DevOps practices (Azure/AWS, CI/CD, containers), mentors and networks professionally, and continuously learns and advises clients.

Lead development of the production toolchain that compiles complex Python packages (e.g., NumPy, SciPy, PyTorch). Build and maintain build/release pipelines, create and review conda recipes, automate processes, mentor engineers, run incident response and postmortems, and advise leadership on technical tradeoffs. Partner with distribution and wheels teams and validate AI-assisted code where used.

Design, build, and scale embedded connectivity and security for distributed energy devices. Implement networking (Ethernet/Wi‑Fi/Thread/Zigbee/BLE), secure provisioning, OTA firmware pipelines, telemetry, and diagnostics. Support testing, certification, manufacturing validation, and cross-functional collaboration from prototype to deployment.

Lead design and implementation of gameplay and engine systems on Linux platforms. Mentor engineers, define technical specs, manage Linux infrastructure, optimize performance and security, integrate art, maintain documentation, support live services and mobile (iOS/Android) ports, and coordinate cross-team standards and tooling.

Build and operate the internal Developer Platform: improve monorepo CI/CD, scale agentic AI platform (observability, RAG, context engineering), consolidate build systems, automate developer toil, and drive DORA-aligned delivery across teams through design, code reviews, and platform roadmaps.

Seeking a Staff Software Engineer to design and build cloud-deployed systems. Must have extensive programming and leadership experience in software engineering.

The Senior Software Engineer, Protocol will architect and develop core protocol components for a blockchain while optimizing distributed systems. Responsibilities include enhancing performance, solving distributed systems problems, and contributing to engineering standards in collaboration with research and product teams.

Develop and maintain scalable software solutions, mentor developers, and integrate AI tools. Collaborate on technical solutions aligned with business goals.

Lead development of automated API, UI, and end-to-end tests for a real-time trading platform. Extend AI-assisted test generation, build scalable CI/CD test frameworks for order lifecycles and market-data streams, reduce flakiness, triage failures, mentor engineers, and drive quality and testability across the product.

As a Senior Software Engineer, you will develop key product features for millions of users, collaborate with teams, and mentor others.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.

Design, build, and operate large-scale distributed web-crawling and data ingestion systems. Improve throughput, reliability, observability, and data quality. Develop backend services for job orchestration and asynchronous workloads, partner with product teams to create data products, and mentor teammates on domain-specific acquisition techniques.

Design and implement backend systems and APIs in Go, contribute full-stack features with React/TypeScript, define observability data models (OpenTelemetry), lead complex cross-team projects, own production services including on-call, mentor engineers, and collaborate with product and design to deliver AI observability features.

Build and iterate growth experiments, onboarding flows, promotions, and re-engagement campaigns. Design and integrate services/APIs and cloud infrastructure, instrument and analyze product data, apply AI where useful, improve system reliability, and mentor peers to drive activation, engagement, retention, and monetization.

Design, build, test, and deploy secure mission-planning software. Maintain secure CI/CD, containerized deployments, automated testing, and security-scanning workflows. Integrate AI capabilities, investigate vulnerabilities, support remediation, produce technical design documentation, and collaborate with stakeholders and customer leads.

Build and optimize high-volume web applications using .NET, Node, React and AWS; maintain and improve existing systems; troubleshoot bugs; perform code reviews; mentor junior engineers; participate in on-call rotation; and improve scalability and performance.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

The staff software engineer will lead technical design, develop AWS microservices and automation solutions, and mentor team members.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

The Senior Software Engineer will lead development, mentor engineers, and create data solutions using TypeScript, React, and Python. Responsibilities include designing applications, driving innovation, and ensuring high-quality user experiences.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

Review applications and product changes before release to ensure compliance and quality. Validate and document findings, provide actionable feedback to engineering and operations, verify fixes, maintain review documentation, and improve internal review processes to ensure consistent, high-quality releases.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.