Top Engineering Jobs in Atlanta, GA

Own and evolve Babylist's AWS infrastructure and developer platform using Terraform and Kubernetes. Improve CI/CD reliability, support engineers across environments, define monitoring and alerting standards, lead incident response and postmortems, and shape platform architecture to scale for millions of users.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Owns company-critical, long-term technical problems across multiple teams and organizations. Defines technical strategy, architectures, roadmaps, and engineering standards for large-scale customer-facing systems. Remains hands-on in software development while driving AI adoption in products and engineering workflows. Partners with senior product, engineering, and executive leaders to resolve complex problems, improve reliability and performance, and shape Dropbox’s technical direction.

Design, build, and maintain Airflow-based automation pipelines and services to move files, run scheduled FTP jobs, validate and modify data, monitor application health, parse logs/emails, implement robust error handling and observability, and integrate API-driven systems to reduce manual operational work.

Design and maintain automated testing frameworks for cloud-scale distributed systems. Build performance, load, stress, integration, API, end-to-end, chaos, security, and infrastructure tests. Integrate continuous testing into CI/CD pipelines, analyze observability data, validate Kubernetes and microservices environments, and collaborate with Engineering and SRE teams to improve reliability. The role also participates in on-call rotations and helps establish QA strategy and standards across GPU infrastructure, serverless endpoints, storage, billing, and event-driven systems.

Build and maintain Vue.js interfaces for Openly’s insurance platform, supporting agents and internal users. Responsibilities include implementing UX initiatives, developing administration interfaces, integrating REST and GraphQL APIs, simplifying technical designs, contributing to architectural decisions, testing applications, identifying technical risks, and collaborating across product and engineering teams.

Leads end-to-end quality assurance for Workday implementations, upgrades, enhancements, and ERP-related initiatives. Develops QA strategies, test plans, and frameworks; oversees functional, integration, regression, and UAT testing; manages defects, test data, environments, releases, and quality reporting. Partners with stakeholders and delivery teams to ensure UAT readiness, issue resolution, requirements alignment, and adherence to QA governance and best practices.

Designs and deploys secure, scalable solutions for military and operational customers. Responsibilities include technical discovery, infrastructure validation, network configuration, deployment readiness, security accreditation support, API and data integrations, technical demonstrations, pilot deployments, and translating field experience into reusable implementation patterns. The role partners with Sales, Platform Engineering, SRE, Cybersecurity, Product, and customers, and requires 30–50% travel.

Build and operate GitLab’s Rust-based Knowledge Graph backend supporting SDLC and code indexing, graph queries, MCP endpoints, AI agents, and analytics. Integrate with Rails, ClickHouse, NATS JetStream, and Data Insights systems. Improve reliability, observability, scalability, and operational readiness through testing, metrics, runbooks, alerts, and on-call participation. Collaborate asynchronously across product, data, infrastructure, security, and AI teams while contributing to system design and occasional Ruby or frontend work.