Top Engineering Jobs in Atlanta, GA

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Investigate voice AI campaign and platform issues by analyzing calls, transcripts, logs, configurations, and integration data. Reproduce and document bugs, triage root causes, perform pre-launch and ongoing conversation QA, and develop test plans, regression suites, quality metrics, and automation. Collaborate with engineering, deployment, clinical, and nursing teams to improve agent behavior, workflows, handoffs, scheduling, and outcome capture.

Lead an engineering organization building secure enterprise container and Kubernetes platforms. Define technical strategy, improve platform resilience and operational excellence, embed security throughout the SDLC, balance feature delivery with stability, hire and develop engineering talent, and collaborate with product leaders, executives, and enterprise customers.

Own enterprise customer technical cases from triage through resolution, troubleshooting Kubernetes, ECS, Docker, cloud infrastructure, deployments, connectivity, and CI/CD issues. Perform root-cause analysis, lead customer calls, build diagnostic scripts and tooling, contribute small product fixes, and document reusable runbooks. The role also includes occasional customer build engagements and collaboration with Product and Engineering.

Leads the design, implementation, maintenance, and security of complex LAN, WAN, wireless, cloud, and Zero Trust network environments for a DoD client. Resolves complex network issues, plans capacity and future services, manages engineering projects, documents configurations, develops disaster recovery plans, evaluates technologies, and mentors engineers. The role also supports threat monitoring, vulnerability remediation, vendor activities, and installation or migration work across multiple client locations.

Designs, deploys, configures, and supports cloud network infrastructure across Azure, OCI, GCP, and AWS. Manages Palo Alto and Cisco firewalls, VPNs, routers, load balancers, subnets, security groups, and network access controls. Performs network monitoring, maintenance, upgrades, capacity planning, troubleshooting, and Level 2/3 support. Uses Terraform for infrastructure automation and supports EKS clusters, cloud security, IAM, STIGs, and vulnerability management. Participates in a required 24/7 on-call rotation.

Leads a hands-on software engineering organization developing AI-enabled legal automation platforms. Responsibilities include setting technical direction, reviewing architecture and code, owning delivery and platform reliability, managing distributed teams, translating legal workflow requirements into scalable systems, and partnering with product, legal operations, executives, vendors, and clients. The role requires oversight of multi-tenant security, AI capabilities, Agile delivery, hiring, mentoring, and engineering quality.

Lead end-to-end development of modern frontend initiatives using React and Electron. Design scalable architecture, improve performance and test coverage, resolve production issues, influence technical decisions, and collaborate with Product, Design, and Backend teams. The role includes mentoring engineers, maintaining code quality, supporting observability and incident response, and building secure, high-quality customer-facing payment and form workflows.

Executive technology leader responsible for strategy, modernization, and operations across a global fintech SaaS portfolio. Oversees software engineering, QA, DevOps, cloud operations, security, customer engineering, and technology partnerships. Leads AI adoption, platform consolidation, cloud optimization, compliance, reliability, customer implementation, budgeting, vendor management, and organizational transformation across complex, regulated products.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.