Top Engineering Jobs in Atlanta, GA

As a Senior Principal Engineer, you'll define and drive the technical strategy for customer experience platforms, lead architectural decisions, and mentor engineering teams to enhance customer and agent experiences.

Lead a four-person engineering team building a new product from concept through MVP and beyond. Act as a player/coach by writing code, fixing bugs, triaging customer issues, shaping architecture, and driving rapid weekly sprints with Product. Establish lightweight engineering practices, coordinate cross-team dependencies, incorporate modern tools, and maintain close customer feedback loops while balancing speed, quality, and long-term viability.

Develop and scale full-stack web applications for Toast’s digital storefront, including online ordering and website products. Design solutions, improve performance and usability, collaborate with Product and Design, run experiments, resolve critical issues, and contribute to API design, testing, and cross-team product integration.

Implements and supports enterprise AI infrastructure platforms across client environments. Configures Kubernetes, workload schedulers, GPU resource governance, containers, observability, security, and related platform services. Performs discovery, deployment, integration, upgrades, troubleshooting, validation, documentation, and knowledge transfer. Collaborates with cross-functional technical teams, contributes to implementation plans and Statements of Work, manages project deliverables, and provides client-facing consulting support. Travel and occasional extended or weekend work may be required.

Implements B2B EDI and integration solutions for enterprise clients. Responsibilities include analyzing data and business processes, designing mappings, configuring and deploying customer solutions, explaining architecture, supporting project delivery, and collaborating across teams. The role develops expertise in Cleo Integration Suite, APIs, communication protocols, ERP integrations, automation, and AI-assisted implementation documentation and coding.

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.

Develop and maintain scalable Java and Kotlin backend services for NinjaOne’s SaaS backup and recovery platform. Design high-availability features supporting backup, archive, restore, and download workflows at large scale. Collaborate with globally distributed engineering teams, own architecture and design decisions, mentor engineers, optimize databases and distributed systems, and deliver reliable production software using technologies including AWS, PostgreSQL, Redis, Kafka, and REST frameworks.

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.