Senior Backend Engineer

Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.

With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

Engineering at Gametime

You will be a key contributor to the Engineering team responsible for building and maintaining the client-side applications and backend systems that power the Gametime experience for millions of users. We empower engineers to take full ownership of their code and foster a culture grounded in testing, code reviews, observability, experimentation, and operational excellence. At Gametime, we value collaboration, inclusivity, and the strength of diverse perspectives — creating an environment where people love to build together.

We are also investing deeply in the future of AI. This includes building internal tools and workflows powered by AI, incorporating agentic systems into our backend architecture, and preparing our marketplace and infrastructure to be AI‑ready. Engineers are encouraged to explore and adopt AI capabilities in their development process, and those who contribute to advancing AI adoption within our stack will play a key role in shaping that evolution.

We are seeking an experienced Senior Backend Software Engineer to join the Core E‑Commerce Platform team. This team is responsible for the technology and systems that power the Payment, Fraud, and Account Management domains of the Gametime marketplace. This is a senior individual contributor (IC3) position for engineers who demonstrate strong technical ownership within their team, contribute to key projects, and support engineering excellence through thoughtful implementation and collaboration.

You will collaborate closely with Engineering, Product, Design, Data, and business stakeholders to shape the future of our platform.

• Design and implement high-performance Golang microservices for e‑commerce checkout, account management, and fraud mitigation.
• Take ownership of components and features within backend systems, ensuring reliability, scalability, and maintainability.
• Build, test, monitor, and maintain critical integrations and infrastructure.
• Develop and support robust internal and external APIs with high throughput and low latency requirements.
• Collaborate closely with Product, Design, and Data teams to deliver technical solutions aligned with user and business goals.
• Participate in code reviews, share knowledge with teammates, and uphold engineering best practices.
• Drive projects from implementation to production deployment with a focus on quality and operational readiness.
• Contribute to ongoing improvements in system performance, observability, and CI/CD workflows.
• Explore and help implement AI‑powered capabilities within our systems and workflows, including agentic tools and intelligent automation.
• Support a collaborative, inclusive engineering culture through thoughtful communication and continuous improvement.
• Backend Development: Proficiency in building reliable backend systems using Golang (or Python, Ruby, Java, C++, C#, Rust, Scala, etc.).
• System Design: Experience developing distributed systems with a focus on performance, reliability, and maintainability.
• AI Fluency: Familiarity with using AI tools (e.g., Cursor, Claude, ChatGPT) or contributing to AI‑powered systems is a plus.
• Working Familiarity with: OIDC Authentication (Google, Apple SSO), E‑Commerce Fraud Prevention, Payment Service Provider Integrations (Stripe).
• API Development: Capable of designing and maintaining well-structured internal and external APIs.
• Cloud Infrastructure: Familiarity with AWS, Google Cloud, or Azure and infrastructure-as-code practices.
• Event‑Driven Systems: Experience working with messaging systems like Kafka, Rabbit
  
  MQ, or similar.
• Databases: Solid experience…