Operations Automation Platform Tech Lead/Manager, Gametime

• The ideal candidate is a senior engineer with a strong backend background who thrives in ambiguous environments, has a strong product sense, and enjoys working at the intersection of technology, operations, and innovation
• You’ll provide architectural direction, mentor engineers, and partner closely with Fan Ops, Ticket Ops, Product Ops, and others to turn opportunities into automated, scalable systems
• This is a high-impact technical leadership opportunity for someone who wants to shape how Gametime operates internally
• You’ll be working on a lean, empowered team with room to experiment, invent, and drive automation-first thinking
• Backend Development: Hands-on experience building backend systems using Golang or other backend languages (e.g., Python, Java, Ruby, etc)
• System Fundamentals: Understanding of distributed systems principles, REST APIs, and backend application architecture
• API Integration: Ability to work with internal and third-party APIs reliably and securely
• Cloud Infrastructure: Exposure to AWS, GCP, or other cloud platforms is a plus
• Event-Driven Systems (Bonus): Experience working with messaging systems like Kafka, RabbitMQ, or similar
• Databases: Experience with relational databases (e.g. PostgreSQL, MySQL) and/or NoSQL technologies (e.g. MongoDB, DynamoDB)
• Team Collaboration: Strong product sensibility and communication skills; comfortable engaging with non-technical stakeholders and driving alignment
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field
• Experience: 8+ years in software engineering, preferably with backend systems

Desirable

• 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’re seeking a hands-on Tech Lead / Manager to lead a team of engineers on our Operations Automation Platform team
• This team is focused on identifying high-impact internal workflows and building AI-powered automation, agentic solutions, and powerful tooling to streamline and scale operational effectiveness
• Provide technical leadership for the Operations Automation Platform team, shaping architectural direction and driving delivery of automation-focused backend systems
• Guide the technical/product roadmap in collaboration with Engineering, Product and Ops stakeholders, identifying high-leverage opportunities for internal efficiency
• Design, prototype, and lead the implementation of systems and tools that automate manual workflows, especially those that can benefit from AI or agentic solutions
• Actively contribute to backend development where needed, especially in early stages of projects or to unblock team members
• Lead technical design discussions, code reviews, and drive adoption of best practices for reliability, observability, and maintainability
• Mentor engineers on the team, elevate technical quality, and contribute to performance reviews via feedback and coaching
• Evangelize new technologies — including AI/LLMs — that can improve the velocity, intelligence, or stability of our internal systems
• Collaborate cross-functionally with multiple Ops teams to deeply understand their workflows and pain points, and drive engineering-led solutions
• Maintain a healthy balance between speed and long-term quality, knowing when to ship scrappy MVPs and when to invest in robust infrastructure