Senior Backend Engineer developing backend services and APIs for ScorePlay, an AI media platform for sports. Taking ownership of backend services to ensure reliability and performance.
About the role
- Senior Software Engineer developing scalable backend systems for Evertune's AI discovery platform. Focusing on distributed systems and cloud infrastructure with a hybrid work model.
Responsibilities
- Architect, build, and maintain scalable backend services in Python and Go
- Design resilient APIs, optimize data pipelines, and improve system performance and reliability
- Own and evolve parts of our cloud infrastructure, including environment configuration and access patterns
- Implement and manage infrastructure as code (Terraform or equivalent)
- Design and maintain containerized services using Docker and modern deployment workflows
- Integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic
- Manage performance, cost, and observability across AI integrations and backend systems
- Debug and troubleshoot issues across application and infrastructure layers
- Simplify and scale complex systems to support product growth and increasing data volume
- Influence long-term technical direction and backend architecture
- Mentor junior engineers through code reviews and coaching
- Collaborate across the stack to ship product features quickly and reliably
Requirements
- 7+ years building and owning resilient, high-performance backend systems for user-facing or B2B products
- Strong software engineering discipline - you design testable systems, write meaningful automated tests, and protect against regressions as systems evolve
- Deep proficiency in Python (or similar) and a track record of designing distributed systems
- Operated production workloads in cloud environments (GCP, AWS, Azure, or similar), including IAM, service accounts, access controls, and environment isolation
- Improved the performance and reliability of ambiguous or legacy systems by simplifying architecture and reducing operational risk
- Built and maintained infrastructure as code using Terraform or equivalent
- Designed and deployed containerized services using Docker and modern CI/CD workflows
- Designed scalable data models and worked deeply with databases such as MongoDB or similar
- Integrated and operated third-party APIs at scale with attention to performance, cost, and failure handling
- Worked with observability tooling to monitor, debug, and improve production systems
- Strong communication skills and the ability to influence technical direction
- Actively leverage LLMs or AI tooling to improve engineering workflows.
- Must be able to work in our Seattle or NYC office 3 days per week (hybrid model)
Benefits
- Competitive Equity
- Medical/Dental/Vision Coverage
- Generous Paid Time Off
- Commuter Benefits
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