Team Lead, Software Development

InforAtlanta, GeorgiaOn-siteFull-timeSenior, 5–8 yearsListed 1 week ago

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About this role

The Team Lead, Software Development serves as a working engineer. This role provides day-to-day technical direction, contributes directly to code and design work, and acts as the primary technical liaison for Claude partnership-related engineering questions.

A Typical Day in the Life Includes:

· Design and deliver integration work between internal products.

· Write code and review technical designs as an active member of the engineering pod.

· Set day-to-day technical direction and make implementation-level architecture decisions.

· Escalate platform-wide architecture decisions to the Software Architect when needed.

· Review code and designs from Senior Engineers and Engineers on the pod.

· Serve as the primary engineering contact for Claude Integration technical questions.

· Partner with the Manager, Software Development and Scrum Master on prioritization and delivery cadence.

Basic Qualifications:

· Hands-on engineering background with experience designing, building, and supporting software solutions.

· Experience writing code and reviewing designs as part of an engineering team.

· Experience using an AI coding tool in daily development work, such as Claude Code, AWS Kiro, OpenAI Codex, or a comparable tool.

· Proficiency with Python for services and full-stack development experience with Angular or a comparable JavaScript framework.

· Working knowledge of AWS services, including Bedrock, SageMaker, Lambda, and EKS.

· Exposure to the Anthropic Claude API and MCP, or an equivalent LLM provider API and tool-use protocol.

· Experience serving as a technical lead or providing informal technical leadership for an engineering pod.

Preferred Qualifications:

· Experience integrating third-party LLM APIs into production products.

· Exposure to LangChain, LangGraph, or a comparable agentic framework.

· Experience working with AI governance, compliance, or responsible AI practices.

· Ability to evaluate AI-generated outputs before relying on them in development workflows.

· Experience collaborating with cross-functional partners on integration requirements.

· Experience supporting GenAI platform improvements or related engineering initiatives.

· Familiarity with responsible use of AI tools in software development environments.