Top Engineering Jobs in Atlanta, GA

Build and maintain scalable production infrastructure, CI/CD pipelines, and cloud platform capabilities. Design infrastructure architecture, automate manual processes, manage Kubernetes-based environments, scale databases and messaging systems, and monitor production services. The role partners with engineering teams across the product lifecycle and uses infrastructure as code, Helm, cloud technologies, and open-source tools to improve reliability, delivery, and developer experience.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Lead full‑stack engineering work to design, build, and maintain core product features (React/Next.js, Node.js, Firebase, GCP). Drive architecture, deployment, testing, performance, and developer experience. Mentor engineers, conduct code reviews, collaborate with CTO and product, support customers, and help scale the product and engineering culture.

Develop and maintain Intelerad’s Unified Storage Layer and cloud storage services for medical imaging applications. Responsibilities include designing software features, translating support and stakeholder requirements into solutions, debugging cloud infrastructure, managing Kubernetes, Terraform, AWS, and CI/CD environments, reviewing code, documenting systems, and delivering work within an Agile/Scrum team.

Designs and engineers automated internal audit workflows that enable continuous assurance. Responsibilities include re-engineering audit processes, orchestrating AI agents, developing prompt and agent libraries, integrating Power Automate and GRC platforms, automating document and population testing, creating real-time risk dashboards, and ensuring AI governance, privacy, explainability, and human validation. The role requires technical audit transformation experience, LLM orchestration, automation platforms, SQL or Python, data governance, and data warehouse expertise.

Design and optimize passive and active silicon photonic components from simulation through layout, foundry tapeout, and characterization. Perform electromagnetic and multiphysics simulations, analyze wafer-level measurement data, develop manufacturable designs, and collaborate with layout engineers, system-level PIC designers, and foundry partners. The role focuses on improving optical performance, fabrication tolerance, bandwidth, crosstalk, insertion loss, and power consumption for LiDAR and optical switching applications.

Develop and maintain full-stack applications using Vue 3, Nuxt, JavaScript, Node.js, Firebase, Firestore, and Google Cloud Platform. Build APIs, microservices, integrations with AI and marketing platforms, payment systems, and cloud services. Troubleshoot UI, database, deployment, and API issues; write tests; and collaborate remotely with the CTO and development team. This is a part-time, equity-based startup opportunity requiring approximately 20 hours weekly.

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality with modern JavaScript frameworks, use Python for supporting work, and leverage AI coding tools such as Claude Code. Write tests, debug issues, support deployment and maintenance, and collaborate on design decisions, code reviews, and application quality improvements.

Provides Level 2 technical support, network and systems implementation, troubleshooting, client escalation management, documentation, and project engineering for small and midsize business clients. Configures and supports Apple, Windows, cloud, networking, security, backup, and remote-management technologies. Maintains tickets, reports, technical documentation, certifications, service-level performance, and customer satisfaction while participating in on-call and onsite support as needed.

Leads distributed engineering teams developing and operating the Sensei Cloud SaaS platform. Responsibilities include people management, hiring, delivery predictability, platform quality and reliability, automated testing, incident response, technical design reviews, AI-assisted engineering adoption, security guardrails, and collaboration with Product, architects, executives, and partner teams across multiple regions.