Key Role Snapshot
Core Technical Stack: Strong Python, AWS, APIs, containerization, and data/telemetry pipelines (e.g., Splunk, OpenTelemetry).
AI-Forward Mindset: Daily hands-on use of AI tools (GitHub Copilot, ChatGPT, Amazon Q) to accelerate your own coding, parse large datasets, automate ticket triage, and create specs.
Autonomous Ownership: Ability to take vague requirements, independently coordinate across teams (Security, Finance, Engineering), and drive solutions to completion.
Developer Experience Focus: Supporting internal engineering enablement and tooling—not building customer-facing AI products.
Quick Details
Level: Senior Engineer (Hands-on Individual Contributor)
Location: Alpharetta, GA — Hybrid (3 days onsite, Mon–Wed)
As a Software Engineer, you'll provide hands-on technical leadership to multiple scrum teams while supporting internal clients. You'll help design and scale next-gen solutions—applying your expertise in software engineering and artificial intelligence to solve complex business problems.
You'll work across countries and business units to plan, build, and deliver impactful solutions using modern architectures and emerging technologies, including Generative AI. As the team's go-to AI expert, you'll guide when and how to apply AI to maximize value, drive innovation, and improve productivity.
To succeed, you should be passionate about using technology to solve real problems, comfortable recommending new tools, and eager to share knowledge across the enterprise. Experience with industry standards, APIs, and DevOps tools like Git, Jenkins, and Splunk will help you thrive in this role.
WHAT YOU'LL DO:
Guide teams in implementing best practices with GenAI tools (e.g., GitHub Copilot, Amazon Q), and champion the use of AI to enhance engineering workflows.
Leverage advanced Generative AI techniques to accelerate development, improve code quality, and explore emerging capabilities.
Promote prompt engineering best practices to use GenAI tools effectively
Partner with business units across the enterprise to identify, pilot, and scale GenAI-driven solutions that support internal clients.
Influence GenAI roadmap by recommending tools, automations, and best practices, and evangelize adoption through workshops and knowledge sharing.
Design and deliver proof-of-concepts and MVPs using GenAI to solve real-world business challenges while working on an Engineering Excellence team that spans the entire company.
Lead the design and architecture of distributed, cloud-based applications supporting high-volume, time-sensitive compliance products.
Act as a key advisor to senior leadership on technology trends, opportunities, and risks related to projects, including production support.
Participate in and lead design and code reviews, promoting a culture of continuous improvement and innovation within the team.
Mentor senior engineers and collaborate cross-functionally with Product Development teams to support and guide AI integration and technical leadership.
TO SUCCEED IN THIS ROLE:
You'll have a Bachelor's degree OR equivalent
8+ years of experience in software engineering, with at least 3 years in a principal or technical leadership role.
Proven track record of delivering enterprise-scale, cloud-based platforms
Expertise in:
AWS Cloud Services(EC2, S3, Lambda, RDS, Glue, etc.)
Programming Languages: Java, Python
Databases: PostgreSQL, OpenSearch/Elasticsearch, Oracle/DB2, MongoDB
Microservices Architecture and API design
Strong Understanding of Generative AI tools for development (e.g., GitHub Copilot, Amazon Q, ChatGPT).
Understanding of prompt engineering to effectively interact with AI assistants in software design, development, and troubleshooting.
Excellent Technical leadership, communication, and stakeholder engagement skills.
Preferred Qualifications:
Experience in tax, payroll, or other financial compliance systems.
Prior involvement in technology transformation initiatives.
