Location: Remote (Global)Team Size: ≈ 10 engineersCore Stack: Ruby on Rails (API-only), Sidekiq, MySQL, AWS (EC2, RDS, EFS), Highcharts.js (data consumers)About INDYINDY powers every operational layer of a movie theater—from ticket sales and concessions to scheduling, accounting, and real-time business intelligence. Our platform handles tens of millions of tickets a year across cinemas worldwide, yet we remain a nimble team where each engineer’s work is felt immediately in theaters on six continents.Why This Role ExistsOur home-grown reporting platform is the analytical backbone of INDY. It decomposes incoming queries into thousands of parallel Sidekiq jobs (hourly → daily → weekly → monthly roll-ups) and serves the results back to cinema managers in seconds. As volume soars, we need a backend-focused engineer to:● Own and harden this distributed reporting engine.● Design data pipelines that can ingest years of transactional data and still answer ad-hoc questions quickly.● You will partner with—but not be accountable for—front-end engineers who wire these APIs into Vue-based dashboards.What You’ll Do● Architect & Scale○ Profile, partition, and optimize multi-terabyte MySQL schemas.○ Tune Sidekiq queues, worker pools, and EC2 autoscaling groups for bursty loads.○ Refactor long-running jobs into idempotent, parallelizable units.● Maintain Data Integrity & Observability○ Implement validation, audit trails, and automated backfills.○ Instrument metrics/alerting around throughput, latency, and cost.● Expand Administrative Workflows○ Expose clean GraphQL/REST contracts that power accounting tools for film bookings, revenue splits, and studio payouts.○ Introduce domain-specific abstractions (DSLs, helpers) so other engineers can add new report types rapidly.● Collaborate Across Functions○ Work with infra engineers on Terraform-managed AWS resources.○ Pair with front-end devs to ensure APIs are ergonomic and secure.○ Advise product and finance teams on data-model trade-offs.What We’re Looking ForMust-HaveNice-to-Have5+ yrs building high-throughput backend systemsExperience with BI/reporting engines or OLAP storesDeep Ruby/Rails & ActiveRecord expertiseExposure to ClickHouse/Redshift/BigQueryHands-on MySQL tuning (indexes, partitioning, query plans)Event-driven or stream processing (Kafka, Kinesis)Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.)Familiarity with data-viz pipelines (we use Highcharts.js)AWS production experience (EC2, RDS, IAM, VPC)Contributions to OSS or tech-blog posts on performanceWhat Success Looks Like (6-12 Months)● Daily report-generation latency cut by 50 % while data volume doubles.● Zero-downtime schema migrations and automated backfill strategy in place.● First phase of studio-settlement APIs shipped and adopted by finance ops.● Comprehensive dashboards/alerts proactively surface scaling limits before customers notice.Why INDY Rocks● Massive Visible Impact – Your optimizations ripple out to millions of moviegoers.● Start-to-Finish Ownership – No layers of bureaucracy; ship, measure, iterate.● Technically Spicy – Distributed computing meets real-world financial correctness.Tight-Knit Crew – Collaborate directly with founders and domain experts.
Job Title
Senior Backend Engineer – Distributed Reporting & Data Infrastructure