Staff Software Developer leading design and delivery of platform capabilities at Penn Interactive. Collaborating in an agile environment to optimize and maintain key services and APIs.
Responsibilities
Lead the design, architecture, and delivery of new platform capabilities in a collaborative agile environment
Build, support, and maintain key services that drive our Federated GraphQL API, event-driven architecture, and regulatory compliance tooling
Drive integrations with internal services by partnering closely with engineering teams and stakeholders across the organization
Support teams developing features in our customer-facing applications (theScore, theScore Bet, Hollywood Casino) by helping define scope, contributing to technical specs, and identifying edge cases and performance improvements through code and design review
Develop, scale, and optimize gRPC endpoints, GraphQL APIs, and SQL queries
Own observability practices across our systems, including monitoring, alerting, and incident response (DataDog, Bugsnag)
Proactively identify bottlenecks and areas of systemic risk, and lead efforts to address them before they impact reliability or scale
Mentor engineers across the organization and contribute to a culture of technical excellence
Requirements
7+ years in a software engineering role
A first-principles thinker who digs into root causes rather than surface symptoms
A track record of owning complex systems end-to-end
Comfortable working across a polyglot codebase that includes Elixir, Java, Rust, and TypeScript
Driven to design, build, and optimize distributed systems that hold up under real-world load
Knows the difference between an API that exposes a data model and one that expresses a domain, and has strong opinions about which to build
A solid foundation in computer science, with deep competencies in data structures, distributed systems, algorithms, and software design
Holds teams to a high bar for code quality and architecture, and can articulate why it matters
Strong experience with relational databases, particularly PostgreSQL
Familiarity with caching strategies and the tradeoffs involved in applying them at scale
Experience with testing frameworks such as ExUnit, RSpec, Jest, pytest, or equivalent
Experience with high-throughput or real-time domains such as sports betting, gaming, or financial services
Experience with Kubernetes
Experience with AI
Benefits
Competitive compensation package
Fun, relaxed work environment
Education and conference reimbursements.
Parental leave top up
Opportunities for career progression and mentoring others
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