Senior Backend Engineer – Distributed Reporting & Data Infrastructure

INDY; United Kingdom; Remote; USD 80,000 - 120,000; Full time

Job summary

INDY seeks a backend-focused engineer to optimize their reporting platform, working with distributed systems and high-throughput data management. This full-time role offers the opportunity for major impact, with responsibilities including data pipeline design and maintaining data integrity, suitable for an individual with over 5 years of backend development experience. Located remotely, employees can easily collaborate without bureaucratic barriers, providing a rewarding work environment.

Benefits

Massive Visible Impact

Start-to-Finish Ownership

Collaboration with Founders

Qualifications

• 5+ years building high-throughput backend systems.
• Deep Ruby/Rails & ActiveRecord expertise.
• Experience with BI/reporting engines or OLAP stores.

Responsibilities

• Own and harden the distributed reporting engine.
• Design data pipelines for transactional data.
• Profile and optimize multi-terabyte MySQL schemas.

Skills

Ruby

Rails

MySQL

AWS

Data Integrity

Event-driven processing

Job description

This range is provided by INDY . Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80,000.00/yr - $120,000.00/yr

Location: Remote (Global)

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

○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

Event-driven or stream processing (Kafka, Kinesis)

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Embedded Software Products

Referrals increase your chances of interviewing at INDY by 2x

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