Top Remote Software Engineer Jobs in Atlanta, GA

Support, configure, and enhance Workday ERP: build integrations (EIB/Studio), manage security and business processes, produce documentation, provide level-three support, and participate in projects and optimizations.

Develop and ship full-stack, AI-powered applications using Unframe’s platform. Collaborate with product teams and enterprise customers to tailor solutions, extend platform and UI layers, integrate AI capabilities into production, and deliver clean, tested, maintainable code. The role requires end-to-end ownership of user-facing products and strong communication in a fast-moving startup environment.

Develop and improve Scala, Bazel, and CI foundations used by engineering teams. Build shared libraries, frameworks, automation, and developer tools; improve build reliability and feedback loops; debug workflow failures; and partner with product engineers on platform adoption. The role also applies AI-assisted engineering tools and agentic workflows to accelerate development while maintaining safety, quality, and human oversight.

Lead a small engineering team while building production-grade frontend and backend systems. Design GraphQL and REST APIs, develop React and Node.js applications, support data ingestion and ETL workflows, and own cross-domain technical initiatives. Drive Agile execution, delivery tracking, architecture, testing, performance, and engineering quality. Mentor engineers, collaborate with Product stakeholders, and use AI-assisted development tools to improve delivery efficiency.

Design and implement cloud-native IoT software using Azure, serverless computing, TypeScript, React, and NestJS. Build scalable applications, APIs, and integrations for web, mobile, partner, and IoT devices. Develop automated tests, implement secure production code, maintain rollback capabilities, support products through on-call participation, and translate business requirements into technical designs. Collaborate using agile and paired programming practices while communicating complex technical concepts to business and product teams.

Designs and leads enterprise Microsoft Power Platform architecture, governance, integrations, security, data models, automation, analytics, and ALM. The role establishes scalable standards, DLP policies, compliance controls, CI/CD pipelines, and Dataverse architecture while translating business needs into technical solutions. It provides hands-on technical leadership, stakeholder engagement, architecture reviews, mentoring, proof-of-concept development, and digital transformation guidance across Power Apps, Power Automate, Power BI, Power Pages, Copilot Studio, Azure, and connected enterprise systems.

Designs, develops, and supports scalable Salesforce Sales Cloud solutions for sales, operations, and customer success teams. Responsibilities include Apex, LWC, Flow, integrations, customer data management, AI-driven automation, CI/CD, release management, production troubleshooting, and technical leadership. The role requires deep Sales Cloud expertise, API integration experience, Copado, Git, SFDX, and advanced Salesforce automation skills.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Develop, test, deploy, and maintain secure front-end and back-end applications supporting cybersecurity and identity access management initiatives. Participate in the full software development lifecycle, troubleshoot issues, perform code reviews, document solutions, and collaborate with cross-functional teams in an Agile environment. The role contributes to scalable software solutions and continuous improvement while supporting production applications.

Design, build, and deploy production agentic AI solutions for public sector, nonprofit, and education customers. Own end-to-end technical components, integrate data pipelines (Salesforce Data 360, Snowflake, Databricks), craft prompts/LLM tooling, monitor agent performance, and co-deliver customer-facing projects with Deployment Strategists. Travel ~25% and deliver measurable business outcomes.