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 theaterfrom 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 engineers 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 withbut not be accountable forfront-end engineers who wire these APIs into Vue-based dashboards.What Youll DoArchitect & ScaleProfile, 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 & ObservabilityImplement validation, audit trails, and automated backfills.Instrument metrics/alerting around throughput, latency, and cost.Expand Administrative WorkflowsExpose 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 FunctionsWork 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 Were 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 RocksMassive 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