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Fanatics · 4 months ago

Software Engineer II - Distributed Systems

United States

Full-time

Remote

Entry, Mid Level

$108K/yr - $216K/yr

2+ years exp

Fanatics Betting & Gaming (FBG) is a company that transforms raw sports data into engaging, real-time product experiences. As a Software Engineer II, you will design and scale backend services while collaborating with engineers and product managers to enhance data-driven services using AI-assisted development practices.

eSportsManufacturingRetailSporting GoodsSports

No H1B

Responsibilities

Design, develop, test, and deploy scalable backend services and REST/gRPC APIs powering search, live odds, box scores, and event tracking

Use AI assistants throughout the SDLC (specs, scaffolding, tests, docs), while validating outputs via checklists, unit/integration tests, and code review

Implement production-grade patterns: idempotent handlers, retries with jitter, backpressure, schema evolution, and safe migrations

Collaborate with senior engineers to understand data pipelines, dependencies, SLAs/SLOs, and product requirements; break work into measurable increments

Participate in on-call rotation; triage, debug, and resolve production issues using tracing, logs, and metrics; write post-incident follow-ups

Contribute to architecture discussions, sprint planning, and design docs; propose pragmatic improvements that raise the team’s delivery speed and safety

Build observability into everything (RED/USE metrics, tracing, actionable alerts) and instrument latency/error/throughput KPIs

Follow our AI-assisted PR (AIPR) process: add an AIPR note, include validation steps, attach tests/benchmarks, and tag the PR for metrics

Help maintain prompt snippets and “gotchas” in the team’s AI playbook; surface pitfalls (e.g., over-abstraction, missing edge cases, secret handling)

Develop domain fluency (sports event hierarchies, feeds, data quality) and how correctness/latency impact user trust and conversion

Stay current with backend trends in distributed systems, cloud-native infra, data APIs, and AI-augmented engineering workflows

Occasional travel to FBG offices or industry events for collaboration and team-building

Qualification

KotlinSpring BootBackend systemsAI coding toolsMicroservices designEvent-driven systemsPostgreSQLMongoDBRedisCI/CDAutomated testingObservability practicesCloud experienceKubernetesData-focused servicesClear communicationCollaborative mindset

Required

2–5 years building backend systems or APIs in high-throughput or data-rich environments

2+ years with Kotlin/Spring Boot; familiarity with reactive/non-blocking patterns is a plus

Experience with event-driven systems (Kafka or similar) and at least one database (PostgreSQL or MongoDB) plus caching (Redis)

Solid grasp of microservices design and API fundamentals (REST/gRPC, pagination, auth, rate limiting, idempotency)

Comfort with observability practices (logs/metrics/traces), CI/CD, automated testing (unit/integration/contract), and Agile workflows

Hands-on use of AI coding tools (Copilot, Cursor, Claude Code, etc.) to accelerate delivery—able to explain when they helped, when they hurt, and how you verified outputs

Security hygiene: secrets handling, PII awareness, and adherence to data-usage rules when using AI tools

Clear written and verbal communication in a remote-first environment; collaborative, ownership-oriented mindset