[Hiring] Backend Engineer @Melotech

Role Description

As Backend Engineer - Data & Orchestration, you take a data platform that grew fast and turn it into one system the whole company can rely on. You keep it running, you keep it clean, and you make it simpler every month. This is not a pure ETL or warehouse role: you work across the pipelines and the backend services they depend on. On a typical day, your tasks may include:

• Data collection: keeping our scrapers and platform integrations running across flaky sources, rate limits, anti-bot measures and APIs that change overnight.
• Pipelines and storage: owning our event-driven pipelines end to end, from orchestration (Airflow, Dagster or similar) to databases and warehouses, built to survive failures and to keep costs in check.
• Monitoring and reliability: building the monitoring and alerting (Datadog or similar) that keeps our services and integrations healthy, and the checks on freshness, volume, schema and values that catch a wrong number before anyone downstream notices.
• Backend services: working on the production services and APIs our data flows through, including our JavaScript backends.
• Infrastructure and security: owning CI/CD, infrastructure as code and cloud for our data systems, plus access and secrets: who and what can reach which system, including AI tools.
• Simplification: consolidating what grew fast into one documented system, and removing what is no longer needed.
• Working across the team: explaining what the data can and cannot do to non-technical colleagues, and guiding junior engineers as the team grows.

Qualifications

• 3 to 10 years of hands-on engineering, most of it in small or fast-growing companies where you owned production systems yourself rather than handing them to a platform team.
• Advanced Python, including async code and long-running data jobs, and enough backend experience to work on production services and APIs, including basic JavaScript or TypeScript backends.
• Experience keeping unreliable external sources running in production (scrapers, platform APIs, unofficial endpoints) and handling proxies, rate limits and anti-bot measures; using LLMs to extract data from messy sources is a plus.
• Designed and run event-driven, fault-tolerant pipelines handling millions of records a day, with Airflow, Dagster or task queues, on databases such as Postgres, ClickHouse, MongoDB or Redshift.
• Systems that report their own problems through freshness, volume, schema and value checks, and using Datadog or an equivalent to keep services and integrations reliable.
• Comfortable with Docker, Terraform, CI/CD and cloud, and ideally have run an access review and set up role-based access and secrets management.
• Owned a messy data setup end to end at a smaller company and left it simpler, documented and maintainable; able to explain trade-offs to non-technical colleagues and guide junior engineers.
• Learned to build solid systems before AI coding tools were everywhere, and today use them to go faster, not to replace judgment.
• Thrive in a fast-paced and performance-oriented environment.

Requirements

• Experience operating real production systems in a small, fast-moving company.
• Ability to explain trade-offs to non-technical colleagues and push back when it matters.
• Experience guiding junior engineers or leading a small team.

Benefits

• Competitive salaries and equity ownership in the business.
• Remote work flexibility.
• Regular global offsites for strategizing, bonding, and pushing boundaries together.

Company Description

Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 3 billion minutes worldwide.

Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR.