Location: Remote (Global)
Team Size: ≈ 10 engineers
Core Stack: Ruby on Rails (API-only), Sidekiq, MySQL, AWS (EC2, RDS, EFS), Highcharts.js (data consumers)
About INDY
INDY 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 Exists
Our 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 For
Must-Have
Nice-to-Have
5+ yrs building high-throughput backend systems
Experience with BI/reporting engines or OLAP stores
Deep Ruby/Rails & ActiveRecord expertise
Exposure to ClickHouse/Redshift/BigQuery
Hands-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 performance
What 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.