Top Engineering Jobs in Atlanta, GA

Lead QA strategy and scalable test automation for cybersecurity web applications using Playwright and JavaScript. Build and maintain reliable automated testing frameworks, integrate tests into CI/CD pipelines, establish quality gates, diagnose failures, and support security testing. Mentor junior engineers, conduct code reviews, collaborate cross-functionally, and improve testing practices, coverage, reliability, and release quality across multiple products.

Develop and optimize process models and techno-economic analyses for direct air capture demo and production facilities. Translate Aspen models into equipment sizing, cost estimates, process documentation, and vendor-ready specifications. Refine heat and mass balances, evaluate operating scenarios, support equipment selection, and identify energy, capital, and operating cost reductions. Collaborate with engineering, R&D, project management, vendors, and external design firms while presenting technical and financial findings to leadership, investors, and stakeholders.

Design, develop, and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservices environment. Build AI-powered applications with LLMs, RAG pipelines, GenAI agents, vector databases, and AI services. Optimize performance, implement responsive user interfaces, troubleshoot systems, participate in code reviews, and collaborate with AI/ML engineers and cross-functional teams in a remote setting.

Leads technology strategy, architectural direction, solution design, and AI-enabled engineering transformation across an Agile Release Train. Owns architectural roadmaps, governance, documentation, technical standards, and modernization initiatives. Designs secure, scalable Azure and cloud-native solutions involving APIs, microservices, integrations, and distributed systems. Partners with engineering, product, security, compliance, enterprise architecture, and platform teams while promoting DevOps, architecture-as-code, AI-assisted development, and regulated-data practices.

Build and maintain backend services powering food search and logging. Tune Elasticsearch performance across indexing, query evaluation, relevance, cluster management, and monitoring. Develop search-quality metrics and experiments, evaluate data technologies, and collaborate with engineering and product teams. Write production Scala services while working with SQL and Python, large-scale data infrastructure, databases, Kafka, cloud platforms, and AI-powered development tools.

Design, build, and deliver front-end features with strong UX focus. Own technical design, coding, testing, deployment, and monitoring in a continuous delivery, microservices environment. Collaborate with Product, implement automated QA practices, and contribute to production deployments while practicing robust testing methodologies.

Design and validate complex engineering simulation problems for training and evaluating AI models and coding agents. Develop Python-based simulation workflows, automated tests, reference solutions, and grading systems across electrical, mechanical, and aerospace domains. Analyze AI execution logs and failure modes, validate physical plausibility and numerical convergence, refine benchmarks, and collaborate with engineering and AI research teams. This remote contractor role requires approximately 40 hours weekly, Pacific Time overlap, and weekend on-call availability.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.

Own and scale multi-cloud infrastructure across AWS, GCP, Cloudflare, and Hetzner. Manage Kubernetes production environments, Terraform infrastructure, observability, monitoring, CI/CD, incident response, networking, security, and cloud cost optimization. Partner with engineering teams on architecture, deployment reliability, developer experience, and AI workload infrastructure. Participate in L2 on-call rotations and lead lasting improvements to infrastructure resilience and performance.

Build and maintain secure, scalable APIs and infrastructure for an AI-powered fintech platform. Develop features across the stack, integrate third-party APIs, deploy infrastructure with Terraform, apply compliance and security practices, and support customers as a technical point of contact. The role involves close collaboration with the CTO in a greenfield, early-stage startup environment.