Software Engineer, Sportsbook Platform
Role details
Job location
Tech stack
Job description
Our stack is primarily Elixir and Phoenix, backed by PostgreSQL, Kafka, and a service mesh of gRPC and GraphQL endpoints running on Kubernetes. We operate at the scale and latency that live sports demand, which means we care deeply about production hygiene: load testing, tracing, structured monitoring, and clear on-call expectations. You will also spend meaningful time reviewing other teams' work in our codebase, defining the shape of upcoming work, and mentoring the engineers around you. We care about the craft as much as the ship. If you like distributed systems, functional programming, live production traffic, and a team that treats software quality as a first-class product concern, you will feel at home here. You will also spend meaningful time reviewing other teams' work in our codebase, defining the shape of upcoming work, and mentoring the engineers around you. We care about the craft as much as the ship. If you like distributed systems, functional programming, live production traffic, and a team that treats software quality as a first-class product concern, you will feel at home here. About the Work As a key member of the Sportsbook Platform team, you will:
- Develop, scale, and optimize the GraphQL APIs, gRPC endpoints, and SQL queries that power the marketplace
- Own technical problems of the highest scope and complexity, drafting proposals and presenting them to leadership and partner teams for feedback
- Design, architect, and deliver new features end-to-end in a collaborative agile/scrum environment
- Identify bottlenecks and areas of risk in production, and drive the changes that make the platform more scalable
- Take on the Sportsbook Platform Support rotation, which owns release management and deployment management during its window
- Set up and refine monitoring and alerting in DataDog for the systems you own
- Mentor engineers on the team and across teams that ship into our codebase, through specs, pairing, and code review
- Other duties as required.
Requirements
- You possess a minimum of 3 years of experience in Software engineering
- A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms, and software design
- Strong grasp of production systems at scale, and experience identifying areas of improvement in a production environment through load testing and tracing
- Experience investigating and remediating production performance regressions, including CPU hotspots and latency regressions in high-throughput services
- Experience with on-call rotations for a production service, including owning release cycles end-to-end
- Passionate about clean code architecture and software craftsmanship
- Excellent written and verbal communication skills, with a track record of authoring tech specs, runbooks, and cross-team design docs that stand up to scrutiny
- Experience with modern web frameworks and API development (Phoenix, Ruby on Rails, Fast API, Laravel, Node)
- Experience designing and evolving GraphQL schemas for product surfaces used by multiple clients (iOS, Android, Web)
- Experience building and integrating multi-client / white-label platforms, including geo-based routing and per-client configuration
- A strong grasp of relational databases, including PostgreSQL and MySQL
- Experience with Kubernetes and comfort operating services in a containerized environment
- Comfortable working in the terminal, with Git and GitHub or similar, and in an editor of your choice
- Experience with testing frameworks such as ExUnit, RSpec, Jest, pytest, or equivalent
- Experience with background job processing (Oban, Exq, Sidekiq, Celery, Beanstalk)
- Experience with asynchronous event handling infrastructure (Apache Kafka, RabbitMQ, AWS SQS/SNS, Google Cloud Pub/Sub)
- NICE TO HAVE: building GraphQL APIs with Absinthe, hexagonal architecture, Domain Driven Development, contribution to open source software, experience working at startups, passion for sports and/or esports
Benefits & conditions
Design, build, and scale GraphQL and gRPC APIs and SQL queries powering the sportsbook marketplace. Own end-to-end feature delivery, performance diagnostics and remediation, release and deployment windows, monitoring in DataDog, and on-call rotations. Mentor peers, draft technical proposals/specs, and improve platform scalability through load testing, tracing, and production hygiene. The summary above was generated by AI, * Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements.
- Opportunities for career progression and mentoring others #LI-REMOTE
Salary Range $115,000-$145,000 USD