Lead Software Engineer

Evident ID • Atlanta, GA

11d • Hybrid

About The Position

The world’s largest organizations rely on Evident to help them protect their business and brand from third-party risk. Our game-changing technology - which enables the secure exchange of risk data like proof of insurance, identity, business registration, and other information - helps our customers verify that their partners have all of the required credentials to do business. In today’s new remote-first, ever-changing regulatory environment, our secure, privacy-first enterprise platform, accessible via web portal or API, provides a highly scalable and configurable solution to manage communications, storage, decisioning, and ongoing monitoring of credentials. Evident is a VC-backed technology startup, headquartered in Atlanta, GA. Learn more at evidentid.com . We’re looking for a highly skilled Lead Software Engineer who will be a hands-on builder of the product and lead a small team (2–3 engineers) in an AI-first development environment. The core of this role is using AI tools as a primary force multiplier across the software lifecycle to accelerate delivery of SaaS products without sacrificing quality. You’ll set direction, raise engineering standards, and guide the team through modern, AI-enabled ways of building. The role will be based in our office in Atlanta (hybrid work model with two days in the office and three days remote).

Requirements

• 5+ years of professional software engineering experience, including leading small teams or acting as a player/coach
• Proven ability to build and ship SaaS products end-to-end in fast-moving environments
• Strong system design and problem-solving skills; able to articulate tradeoffs clearly
• Deep, practical experience using AI/LLM tools in daily engineering work, with clear opinions on what drives real leverage
• Excellent communication and mentorship skills; comfortable leading change

Nice To Haves

• Experience integrating LLM-based features into production systems
• Background in developer productivity, platform engineering, or SDLC automation
• Familiarity with AI privacy, security, and compliance considerations

Responsibilities

• Design, build, test, and ship high-impact SaaS features and services
• Drive architecture decisions and technical execution from requirements to production
• Set and uphold standards for code quality, reliability, observability, and security
• Evaluate, implement, and standardize AI tools across the SDLC (coding, review, testing, docs, incident analysis)
• Build “AI-in-the-loop” workflows for: - requirements/spec drafting - design exploration and architecture docs - code generation, refactoring, and migrations - test creation and regression detection - documentation, runbooks, and onboarding
• Define guardrails for safe and effective AI use (security, privacy, IP, data handling)
• Lead and mentor a team of 2–3 engineers through planning, execution, and delivery
• Coach engineers on strong fundamentals and high-leverage AI-assisted workflows
• Provide technical guidance through design reviews, code reviews, and pairing
• Partner with product, design, and leadership to deliver the right solutions quickly
• Communicate progress, risks, and opportunities clearly and proactively

Benefits

• Competitive pay package, including base pay and stock options
• Full medical, dental, vision benefits and 401K
• Unlimited PTO
• Paid parental leave to support you and your family
• Home internet stipend, virtual events, & more!
• Recently named one of Atlanta's Coolest Companies & 50 on Fire by Atlanta Inno
• Recently named one of the Top 10 Fastest Growing Companies in Atlanta & one of the Best Places to Work in Atlanta by Atlanta Business Chronicle

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees