Senior Software Engineer

TickPick•New York, NY

12h

About The Position

Who We Are: Same Seats. Better Prices. Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition. For the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000's and Crain's New York Business' Fast 50. If you are passionate about concerts, sports, or theater, and want to see your skills and experience have a direct impact on a fast growing company, TickPick is the place for you. We are building a lean, high-output engineering team committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry. Who You Are: As a Senior Software Engineer, you excel in solving technical challenges both independently and as part of a small, senior team. You have proven experience building and shipping across the full stack — API, web, and mobile — and AI agents make it practical to go deep in areas that aren't your primary strength. You have experience in driving, executing, and delivering high quality solutions. You are fluent in working with AI coding agents — not as a novelty, but as a core part of how you build software. You're comfortable orchestrating multiple agents to tackle complex problems, creating agentic feedback loops that improve code quality and velocity, and discovering ways to automate tedious, repetitive tasks so the team can focus on higher-impact work. You are comfortable working in ambiguously defined problem spaces, and you are a curious and creative problem solver who multiplies their output through smart use of AI tooling, delivering tangible results.

Requirements

5+ years of professional software engineering experience
Strong in at least one of C#/.NET, TypeScript/Node.js, or React/React Native — and willing to work across all of them. AI agents make full-stack contribution realistic even where you're not an expert.
Experience with relational databases (SQL Server, PostgreSQL) — you can write and optimize queries, not just use an ORM
You actively use AI coding agents in your development workflow and can articulate when they accelerate work vs. when they don't
You've shipped and maintained production systems that handle real traffic and real money
Azure Cloud Platform experience is a plus

Nice To Haves

You've built or contributed to agentic workflows — automated pipelines where AI agents handle code generation, review, testing, or deployment with human oversight
You have a track record of identifying tedious, complex processes and automating them away
You've worked on marketplaces, e-commerce, or systems where inventory accuracy and transaction integrity matter
You're comfortable working autonomously in a small team where there's no PM writing detailed specs for every task
You've dealt with third-party API integrations that are messy, underdocumented, or unreliable

Responsibilities

Own entire systems end-to-end — from database schema to API to production deploy
Work across the entire stack — .NET APIs, React/Next.js web, React Native mobile — using AI agents to close knowledge gaps and move confidently in unfamiliar territory
Orchestrate AI coding agents to accelerate development, code review, and research across the codebase
Build and refine agentic workflows — automated testing loops, code review pipelines, and intelligent monitoring that reduce manual overhead
Optimize performance of our APIs, making them scalable
Create integrations to third party providers (e.g. fintech, ticket brokers, primary marketplaces) in order to offer more services to our users
Design and develop new APIs for upcoming features
Explore ways to make the user experience more personalized (event notifications, recommendations, pricing alerts, etc.)
Identify repetitive engineering tasks and build automation to eliminate them — freeing the team to focus on what moves the business forward
Use data to help drive decisions in our business logic