Top Software Engineer Jobs in Atlanta, GA

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.

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.

Defines product requirements, acceptance criteria, and implementation constraints for GRID platform features. Breaks initiatives into agent-executable increments, directs AI agents through iterative development, reviews generated implementations for correctness, security, maintainability, and specification alignment, and validates outcomes through testing, demonstrations, and customer-focused evaluation. Diagnoses failures and improves specifications, context, and agent workflows while collaborating with product, design, engineering, and customer-facing teams.

Lead and scale a client-facing software engineering capability delivering custom applications, cloud and Microsoft platform solutions, integrations, automation, and AI-enabled software. Establish engineering standards, guide architecture and delivery decisions, mentor engineers, create reusable assets and delivery patterns, partner with client teams on scoping and risk, and promote responsible use of AI-assisted development while ensuring quality, security, and maintainability.

Develops, maintains, integrates, and supports enterprise software, databases, queries, reporting solutions, ETL processes, and data warehouses. Translates business requirements into scalable technical solutions, performs systems analysis and unit testing, manages production issues, ensures SDLC and architectural compliance, and provides design recommendations. The role also supports project planning, collaborates with clients and business analysts, and mentors less experienced developers.

Develop and support Windows Forms and web-based applications using C# and .NET. Work with Microsoft SQL Server and related SSIS, SSRS, and SSAS tools. Apply Agile and TFS methodologies, create database-driven solutions, and potentially use Logi Analytics or MicroStrategy. The role also values Excel formula and pivot-table skills, Microsoft Office proficiency, healthcare billing or coding knowledge, and strong written and verbal communication.

Design and deliver Salesforce implementations for consulting clients, including technical architecture, custom development, integrations, data migration, and business-process optimization. Lead technical design sessions, manage scope and client expectations, document solutions, support developers with complex technical issues, and provide technical thought leadership across the software development lifecycle using Agile methods.

Customer-facing implementation engineer responsible for configuring and deploying NICE/contact-center solutions, performing technical architecture, database design, integration and occasional programming, leading projects end-to-end, conducting business analysis, and mentoring junior staff to ensure successful client engagements.

Build and operate high-scale cloud services that ingest, transform, store, and distribute geospatial and weather data. Modernize legacy systems, integrate AI and LLM workflows, improve platform reliability, optimize costs, maintain security compliance, and support multiple concurrent initiatives from design through production. Collaborate with product, operations, science, technology teams, and enterprise clients in a mission-critical 24x7 environment.