Top Software Engineer Jobs in Atlanta, GA

Leads a software engineering organization responsible for delivery, quality, team growth, and technical execution. Manages engineers and QA professionals, partners with Product and Design on roadmaps, guides architecture, and promotes reliable, scalable cloud-native systems. Responsibilities include people leadership, hiring, coaching, delivery planning, risk management, Agile practices, observability, automated testing, and operational excellence across SaaS platforms and distributed systems.

Leads the team responsible for software applications supporting logistics and transportation capabilities. Oversees application configuration, development, testing, deployment, release management, performance monitoring, incident and support processes, vendor relationships, and stakeholder engagement. Manages application lifecycle improvements across SaaS and on-premises solutions while coaching team members and aligning delivery with business goals.

Owns architecture and technical direction for enterprise AI platforms, AWS Quick integrations, and an internal AI Artifact Hub. Leads development of connectors, agents, knowledge retrieval, MCP servers, data pipelines, quality systems, observability, and resilient distributed workflows. Guides Python engineering, architecture reviews, incident response, and cross-functional alignment with security, cloud, enterprise architecture, and AWS teams. Establishes standards for AI evaluation, governance, reliability, and verification-first development.

Build and operate automation for Cloudflare’s Data Center Security Compliance team, including browser-based portal extraction, ACL reconciliation, Jira ticketing, attestation workflows, audit evidence packages, and LLM-assisted anomaly detection. Own the DCSC Portal tooling roadmap, improve workflow reliability, document runbooks, and collaborate with compliance and GRC stakeholders to ensure automation meets regulatory evidence requirements.

Deliver customer-facing technical solutions integrating monday.com into enterprise technology stacks. Responsibilities include technical discovery, requirements gathering, custom application and agentic AI development, data migration, API and identity integrations, production deployment, documentation, and customer enablement. The role also involves technical consulting, stakeholder communication, advocating for customer needs, and building reusable internal services tooling and components.

Software Engineering Interns will contribute to live, scalable software projects; write maintainable code; support feature design, development, testing, debugging, and enhancements; create automated tests; apply secure coding practices; participate in code reviews and agile ceremonies; and collaborate with product managers, designers, and engineers. Responsibilities and technologies vary by team.

Lead solution architecture for merchant payments: configure products, support sales on pricing and pipeline, define product requirements, document client use cases and integrations, drive interoperability/testing, collaborate cross-functionally, and provide technical guidance to clients and internal teams to increase product adoption and scalability.

Lead platform and developer experience initiatives that improve engineering velocity, reliability, and system performance. Build reusable Node.js, TypeScript, Nest.js, and React.js patterns; optimize PostgreSQL and Kafka systems; manage Kubernetes and ArgoCD deployments; modernize legacy code; improve CI/CD and observability; and mentor engineers. Translate ambiguous technical challenges into roadmaps, lead cross-team architecture work, and strengthen engineering practices through coaching, documentation, and workshops.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Design and implement real-time C/C++ software for RF sensor signal-processing systems. Develop and optimize CUDA GPU algorithms, translate MATLAB and Python prototypes, architect open-architecture components, and integrate software on embedded multi-core CPU/GPU platforms under strict latency requirements. Create tests and benchmarks, document designs, support technical reviews and proposals, collaborate across engineering teams, and travel approximately 20% for integration, customer meetings, and field demonstrations.