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Evident

Lead Software Engineer

Evident, Atlanta, Georgia, United States, 30383

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The world’s largest organizations rely on Evident to help them protect their business and brand from third‑party risk. Our game‑changing technology enables the secure exchange of risk data like proof of insurance, identity, business registration, and other information. Our platform helps customers verify that their partners have all required credentials to do business.

In today’s 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.

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