Job description
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).
Key Responsibilities
Hands-On Product Engineering
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
AI-First Development Leadership
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)
Team Leadership & Coaching
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
Cross-Functional Collaboration
Partner with product, design, and leadership to deliver the right solutions quickly
Communicate progress, risks, and opportunities clearly and proactively
Required Skills & Qualifications
- 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
Preferred Qualifications
- 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
Why Evident?
• Our team solves a crucial problem with huge business potential together, and we are able to see exactly how our contribution affects customers!
• 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
