Top Software Engineer Jobs in Atlanta, GA

Develop, test, deploy, and support AI-enabled enterprise applications for the AndiSense platform and BSSe program. Build application features, APIs, integrations, automation, and testing frameworks while applying Agile, DevOps, CI/CD, and secure coding practices. Troubleshoot production issues, improve performance and scalability, collaborate with stakeholders and cross-functional teams, and maintain technical documentation throughout the software development lifecycle.

Designs, develops, and maintains complex software components and data models across multiple systems. Collaborates with technical teams and stakeholders to finalize requirements, translate product needs into software designs, resolve complex issues, and implement coding best practices. Mentors junior engineers, conducts code reviews, contributes to project planning, supports multiple development methodologies, and stays current with technology and industry practices.

Design, implement, test, troubleshoot, and document software across the Euna Grants product suite. Collaborate with product, sales, and engineering teams in a SAFe Agile environment, using AI-assisted and agentic coding tools. Present design patterns, demo features, participate in code reviews, mentor junior developers, and support AI-integrated applications, RESTful APIs, and LLM tool integrations.

Develop scalable, secure, high-performance software for a global telematics platform processing real-time vehicle and device data. Responsibilities include writing C# code, designing systems and APIs, reviewing code, troubleshooting performance and bugs, documenting technical solutions, mentoring junior developers, researching technologies, supporting technical issues, and participating in a 24/7 on-call rotation.

Build and maintain scalable backend APIs and full-stack products supporting web and mobile applications. Design new product suites, develop features, contribute to architecture and code reviews, and mentor junior engineers. The role requires Java and Spring Boot expertise, frontend experience with Angular or React, relational database and schema design knowledge, and RESTful API development. AWS, Docker, Kubernetes, and Linux experience are advantageous.

Designs and develops data engineering services supporting machine learning and agentic initiatives. Responsibilities include data ingestion, governance, derivation, discoverability, retrieval, and serving using distributed systems and cloud infrastructure. The role involves building scalable production services, CI/CD pipelines, monitoring, testing, deployment, performance optimization, and on-call production support. Collaboration, clean object-oriented code, and operational ownership are emphasized.

Build and maintain full-stack software across Java and Spring Boot backend services, TypeScript frontend applications, REST APIs, SQL and NoSQL databases, event-driven systems, and cloud deployments. Own services within a microservices architecture, improve CI/CD pipelines, write comprehensive tests, participate in code reviews, collaborate cross-functionally, monitor production systems, and maintain technical documentation.

Lead software engineering teams in designing, developing, testing, and delivering enterprise applications. Responsibilities include consulting with Fortune 500 clients, managing projects, gathering requirements, architecting solutions, coding, presenting findings, mentoring junior developers, and using cloud, AI, machine learning, IoT, and modern software technologies. The role follows an agile, collaborative approach and operates in a hybrid model.

Develop and optimize ServiceNow Catalog solutions, including catalog items, workflows, scripts, integrations, security configurations, testing, releases, troubleshooting, and production support. Translate stakeholder requirements into self-service solutions, document and train users, mentor junior engineers, conduct root-cause analysis, and evaluate new ServiceNow capabilities.

Leads a legacy systems programming team while owning the roadmap for AI-enabled modernization. Responsibilities include designing API-first, cloud-ready architectures; evaluating AI-assisted development tools; developing, testing, maintaining, and supporting business applications; improving integrations; tracking modernization KPIs; mentoring engineers; and communicating technical strategy to stakeholders. The role requires hands-on application development, technical leadership, architecture planning, production support, documentation, and occasional on-call support.