Top Engineering Jobs in Atlanta, GA

Designs, deploys, migrates, secures, and operates production Azure infrastructure across hybrid VMware and Windows environments. Responsibilities include Azure networking, platform services, disaster recovery, migrations, Terraform automation, Azure DevOps pipelines, identity and governance, monitoring, cost management, troubleshooting, and compliance. The engineer supports application platforms including AKS, App Services, databases, and integrations while participating in incident response, change management, on-call duties, and occasional after-hours cutovers.

Leads the engineering organization for Polaris, overseeing strategy, architecture, people, delivery, quality, reliability, security, budgets, and vendor relationships. The VP scales engineering leadership, develops platform capabilities, advances AI-assisted development, manages cloud and data infrastructure, partners on product strategy, and ensures resilient, secure, observable systems. The role requires executive judgment, deep SaaS and cloud architecture expertise, and the ability to support critical incidents and complex technical decisions.

Own the reliability, availability, performance, observability, and security of Ophelia’s GCP telehealth platform. Define SLOs, improve monitoring and incident response, expand Terraform infrastructure, strengthen CI/CD, manage disaster recovery, and address latency and Cloud Run performance. Lead on-call maturity, HIPAA/SOC 2 infrastructure controls, and reliability education for engineers. Use AI-assisted tools for automation and incident triage while partnering with technical and non-technical stakeholders.

Leads a 60-person engineering organization, managing seven engineering managers and owning delivery, staffing, organizational health, manager development, operating strategy, technical roadmap, and AI adoption. Establishes engineering KPIs using Linear, DORA, and reliability metrics; improves delivery predictability and system reliability; guides architecture and capacity allocation; and ships production AI or agentic initiatives with standards for security, cost, observability, and reliability.

Coordinate and execute software deployments across staging, testing, and production environments. Build and maintain CI/CD pipelines, automate deployment processes, troubleshoot failures, manage cloud configurations, perform post-deployment testing, and maintain deployment documentation and tooling. Collaborate with development, product, and operations teams to deploy and sustain mission-critical technology in DoD network environments while ensuring security, operational compliance, and deployment readiness.

Design, implement, and optimize full-stack solutions. Collaborate with cross-functional teams, participate in code reviews, analyze and improve system performance, and stay current with industry technologies.

Lead a senior engineering team building Fingerprint’s Automation Intelligence product from beta through commercial launch. Own product readiness, service reliability, detection accuracy, testing, rollout quality, API contracts, observability, team growth, and AI-native engineering practices. Partner with product, research, and customer-facing teams while establishing autonomous ownership, quality metrics, and contract-first APIs for detecting and classifying bots, AI agents, and other automation.

Leads engineering standards, architecture governance, platform strategy, technical quality, security and compliance engineering, and production AI governance across CSL Plasma’s digital products. Manages cross-domain technical teams, sets cloud and integration direction, owns shared engineering platforms and data architecture, and ensures reliable, scalable, regulated software delivery. The role also drives AI-assisted development, production AI operations, engineering metrics, talent development, and alignment with enterprise architecture and cybersecurity.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Develop and lead frontend platform engineering for native and hybrid mobile applications. Build reusable, well-tested Android and iOS SDK components, contribute to architecture and system design, collaborate with product and engineering teams, own customer-facing deliverables, and identify product improvements while maintaining strong engineering standards.