Top Engineering Jobs in Atlanta, GA

Own end-to-end network reliability across data centers, AWS, and GCP, including routing, switching, DNS, load balancing, service mesh, VPNs, circuits, and cross-connects. Automate network configuration with Ansible, Terraform, GitOps, CI validation, and IPAM. Engineer failover, observability, security hardening, client connectivity, and Kubernetes ingress while participating in an interrupt-contained on-call rotation.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Support enterprise customers and partners integrating applications with Wasabi Cloud. Diagnose, research, reproduce, and report defects; test storage services with third-party applications; validate interoperability using APIs and SDKs; investigate S3 protocol behavior; and collaborate with sales, development, QA, product, and support teams.

Build and expand fintech and payment systems using Go, microservices, databases, and cloud technologies. Design production APIs and tooling, diagnose customer issues, manage full release lifecycles, document systems, and mentor engineers. Collaborate with product and business teams while guiding AI agents to produce maintainable, observable, testable code that meets engineering standards. Work independently in a high-availability environment and contribute to next-generation financial products.

Design and own secure, scalable wallet infrastructure for custody, key management, transaction signing, authorization, recovery, and multichain systems. Architect support for MPC, HSMs, secure enclaves, TEEs, smart contract wallets, account abstraction, and emerging cryptographic approaches. Define security boundaries, policy engines, secrets management, authentication, and programmable authorization while making foundational build-versus-buy decisions and guiding systems from first principles through production.

Own and modernize Domino's Tempest scale-testing platform; build repeatable automated validation, sizing guidance, and cloud-scale test automation; partner with platform teams to enable multi-cloud scale testing and improve test reliability and reporting.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Manufacturing and Industrial Engineering Interns support process improvement, lean and continuous improvement initiatives, production process optimization, quality efforts, manufacturing data analysis, and problem-solving. They collaborate with cross-functional teams and help maintain manufacturing documentation and standard operating procedures while gaining hands-on exposure to manufacturing technologies and equipment.

Leads and develops a software engineering team through coaching, feedback, hiring, and career growth. Partners with product and engineering leadership on priorities, execution, architecture, and technical strategy. Reviews system designs, evaluates tradeoffs, supports code reviews, and drives improvements in scalability, reliability, performance, testing, and engineering processes. Works remotely with cross-functional leaders to deliver and maintain veterinary software products.

Leads a full-stack engineering growth pod, owning its roadmap, delivery quality, team culture, hiring and career development. The manager remains hands-on by writing and reviewing code, shaping architecture, coaching engineers, and participating in technical decisions. The team rapidly experiments with product experiences, using data-driven insights to help people discover and understand Atticus services. The role partners closely with product, design, and data science while operating in an ambiguous, resource-constrained startup environment.