Senior Back End Engineer (Ruby on Rails & GO)

PrizePicks is the fastest-growing sports company in North America, recognized for its leading platform in Daily Fantasy Sports. The company seeks a Senior Software Engineer fluent in Ruby on Rails and Go to design and build backend services for their internal operational platform, impacting millions of users.

Responsibilities:

• Build and own backend services: Design and implement features across both Rails-based services and Go microservices — from API contracts through deployment and monitoring
• Support the migration to microservices: Help decompose the Rails monolith into well-scoped, independently deployable services, contributing to architectural decisions about what to extract and how
• Power internal tooling APIs: Build and maintain the backend APIs that Back Office operators depend on for real-time decisioning — projection management, risk dashboards, alerting, and member operations
• Own technical delivery: Lead the design and implementation of complex features end-to-end, from product requirements through production deployment
• Drive system reliability: Diagnose and resolve performance bottlenecks, optimize database queries, and improve resilience of backend systems under load
• Define technical direction: Propose and drive architectural decisions for your team's services, evaluating tradeoffs and communicating recommendations clearly to engineers and stakeholders
• Mentor and elevate: Provide hands-on mentorship to Software Engineers I, II, and III through code reviews, pairing, and technical guidance
• Improve engineering practices: Advocate for and improve best practices around code quality, testing, observability, and deployment for the team
• Collaborate cross-functionally: Work closely with Product Managers, QA, and other engineering teams to translate operational goals into well-scoped technical solutions
• Participate in on-call rotation: Share responsibility for production incidents, contributing to root cause analysis and long-term reliability improvements

Requirements:

• 5–8 years of professional software engineering experience, with meaningful production time in both Ruby on Rails and Go
• Proven track record of owning and delivering complex, multi-component features in a team environment
• Experience working across monolith-to-microservices migrations, extracting services, managing dual-write patterns, and maintaining backward compatibility
• Experience designing and operating distributed systems or event-driven architectures
• Strong Rails proficiency — you understand the framework deeply, write idiomatic Ruby, and know when to leverage or work around Rails conventions
• Strong Go proficiency — you write idiomatic, well-tested, production-quality Go code
• Solid PostgreSQL skills, including schema design, query optimization, and performance tuning
• Solid understanding of API design (REST and/or gRPC) and service boundary design
• Experience with asynchronous workflows — background job processing (Sidekiq or similar), message queues, or event streaming
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with CI/CD pipelines and deployment automation
• Understanding of observability practices — logging, metrics, tracing
• Comfortable working autonomously with minimal direction on ambiguous problems
• Effective communicator who can articulate technical decisions to both engineers and non-technical stakeholders
• Able to context-switch between deep technical work and collaborative planning
• Experience working in a fully remote engineering organization
• Hands-on experience with event-driven architectures using Pulsar, Kafka, or similar — our platform relies heavily on async messaging between services
• Experience with NATS request/reply or JetStream patterns
• Familiarity with internal tooling or operator-facing platforms (not just member-facing products)
• Experience in high-traffic, real-time systems — sports, gaming, fintech, or adtech
• Familiarity with infrastructure tooling (Terraform, Kubernetes, ArgoCD)
• Experience in the daily fantasy sports or sports betting industry
• Experience leveraging AI-assisted development tools across the development lifecycle — coding, planning, scoping, and code review
• Experience integrating AI tooling into engineering workflows to accelerate team productivity