Senior Software Engineer; Developer​/Platform Engineering

* This role does not offer visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship (including CPT, OPT, TN or H1B).
**This is a hybrid position with onsite requirements. Candidates should be within a reasonable commuting distance (approximately 50 miles) of Alpharetta, GA and will be expected to work onsite 1-2 days per week.

We are looking for a passionate and versatile Senior Software Engineer to help shape the next generation of developer experience across the enterprise. This role focuses on building and evolving platforms, tools, and self-service capabilities that improve developer productivity, accelerate delivery, and simplify the software development lifecycle.

As part of the team, you'll work across a diverse portfolio of engineering platforms and initiatives, including API Developer Portals, Mock API solutions, Feature Management Platforms, and Data Platforms, as well as other emerging technologies. This is an end-to-end engineering role that may span backend development, frontend development, Dev Ops, and automation. Success in this role requires strong engineering fundamentals, curiosity, adaptability, and a passion for solving complex problems.

• Design, develop, test, and maintain developer platforms, tools, and services that improve engineering productivity and developer experience.
• Build and enhance strategic developer enablement solutions, including developer portals, Mock API platforms, Feature Management solutions, Internal Developer Platform (IDP) capabilities, and Data platforms.
• Partner with engineering, architecture, infrastructure, security, and product teams to identify developer pain points and implement scalable solutions.
• Design and implement reusable services, frameworks, APIs, libraries, automation, and self-service capabilities.
• Contribute to platform architecture, technical design, engineering standards, and best practices.
• Integrate security, observability, automation, and compliance capabilities into engineering platforms and CI/CD pipelines.
• Evaluate emerging technologies and drive innovation through proofs of concept and production-ready solutions.
• Continuously improve platform adoption, reliability, operational efficiency, and developer satisfaction.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering, with a focus on Platform Engineering and Developer Experience.
• Strong understanding of software engineering fundamentals, including object-oriented design, design patterns, system design, distributed systems, API design, and software architecture principles.
• Proficient in Java or JavaScript.
• Experience building and supporting cloud-native applications and platforms, preferably in Azure.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience designing and implementing CI/CD pipelines and automation solutions.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, ARM/Bicep, Cloud Formation, or similar technologies.
• Familiarity with API technologies, OpenAPI specifications, authentication, authorization, OAuth2, and JWT.
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent communication and collaboration skills with the ability to work effectively across distributed teams.

Preferred Qualifications

• Experience with Developer Experience (Dev Ex), Platform Engineering, Developer Productivity, or Internal Developer Platform (IDP) initiatives.
• Experience with technologies such as Azure API Management, Wire Mock, Backstage, Launch Darkly, Azure App Configuration, Microsoft Fabric, Git Hub Enterprise, or similar platforms.
• Familiarity with DORA metrics and engineering productivity measurement.
• Experience building self-service platforms and developer enablement solutions.
• Experience with AI-assisted development tools such as Git Hub Copilot, Copilot Studio, Azure AI Foundry, or similar technologies.
• Experience developing AI agents, intelligent workflows, agentic applications, or Retrieval-Augmented Generation (RAG) solutions.
• Familiarity with Large Language Models (LLMs), prompt engineering, vector databases, Model Context Protocol (MCP), and modern AI architecture patterns.
• Experience working in Agile, Scrum, or SAFe environments.

What Makes You Successful

• Strong problem-solving and analytical thinking skills.
• Solid engineering fundamentals and sound technical judgment.
• A proactive, "go-getter" mindset…