Top Engineering Jobs in Atlanta, GA

Leads the strategy, architecture, and operation of Demandbase’s internal developer platform and cloud infrastructure. Responsibilities include Kubernetes platform management across AWS and GCP, CI/CD and GitOps, infrastructure as code, service mesh, observability, FinOps, security, incident response, and AI-assisted development workflows. The role sets organization-wide technical standards, authors architecture guidance, leads major incidents and postmortems, and mentors senior engineers across teams.

Implement and operate multi-region AWS database infrastructure for a Tier-1 payments platform. Responsibilities include DynamoDB Global Tables replication, failover and failback automation, Terraform or CDK infrastructure, observability, disaster recovery testing, KMS and IAM configuration, CDC pipelines, data migration cutovers, and application resilience patterns. The role also requires runbook and design documentation, collaboration with data, SRE, and application teams, and support for regulated financial-services workloads.

Build and own studio-wide systems that improve software quality, testing, performance, developer velocity, and infrastructure reliability. Responsibilities include functional test automation, load and chaos testing, regression analysis, device compatibility labs, build and GPU clusters, CI infrastructure, disaster recovery exercises, developer tooling, quality metrics, and technical leadership across distributed engineering teams.

Own end-to-end SRE projects and hybrid infrastructure across AWS, Azure, and on-premises environments. Lead architecture, Terraform-based infrastructure, CI/CD, observability, FinOps, database reliability, security, incident response, automation, and documentation. Serve as a technical anchor through design reviews, complex debugging, mentorship, and platform strategy while participating in on-call and post-incident improvements.

Design, develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product partners, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security, observability, and continuous improvement. Use approved AI-assisted development tools responsibly across coding, testing, debugging, analysis, and documentation while ensuring software quality, security, performance, and maintainability.

Reviews coding problems derived from production repositories for fairness, clarity, technical soundness, and test quality. The role involves assessing code changes across unfamiliar stacks, identifying coherence issues or missing context, and writing concise justifications. Work is fully async and part-time, requiring independent judgment, strong software engineering fundamentals, and clear English writing.

Lead the architecture and implementation of high-performance, reliable core services operating at massive scale. Design synchronous and asynchronous APIs, database schemas, and distributed systems; conduct benchmarking, profiling, monitoring, and optimization; participate in reviews and on-call rotations; resolve production issues; and drive independent experiments and solutions.

Develops and deploys AI-enabled IT automation across infrastructure, cloud, endpoints, applications, and operational workflows. Automates provisioning, patching, compliance, monitoring, remediation, deployments, asset management, financial processes, and cloud optimization using Python, APIs, infrastructure as code, AIOps, LLMs, and agent-based frameworks. The role also supports DevOps, creates documentation and runbooks, partners with security and operational teams, mentors colleagues, and drives enterprise-wide process improvement. This remote position requires 25% travel.

Build and maintain integrations, automations, scripts, and applications connecting RMM, monitoring, backup, and ITSM platforms. Own Jira Service Management configuration, alert lifecycle tuning, tooling standards, customer rollouts, troubleshooting, reporting, and documentation. Lead build-versus-buy evaluations and serve as the senior escalation point for tooling failures. The role requires AI-assisted development, API integration expertise, scripting, ITIL-aligned change management, and customer-facing communication.

Build and support reliable dashboards for AI infrastructure and financial models, including TCO, tokenomics, and compute capital models. Responsibilities include implementing features, loading model releases, validating data, developing accuracy checks, collaborating with analysts, creating charts and explanations, answering client questions, and contributing to research newsletters. The role requires strong Python or TypeScript skills, software engineering experience, numerical accuracy, and effective use of AI coding agents.