Senior Backend Engineer – Data Core

New

JobgetherCreator data

Fully remote in Europe, some overlap with GMT+3Full-TimeSenior

SalaryAnnual salary range of €80,000–€110,000, plus stock options.

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Job Details

Have proven experience building large-scale backend or data systems where reliability, throughput, latency, scalability, and cost matter.
Have taken systems from concept to production, including scoping, architecture, implementation, release, operation, measurement, and improvement.
Have strong knowledge of distributed systems and reason effectively about partial failures, retries, idempotency, backpressure, scaling, and fault tolerance.
Have experience building and maintaining integrations with third-party APIs or unreliable, rate-limited, or frequently changing external dependencies.
Bring operational ownership experience using observability, monitoring, alerting, runbooks, and data-quality controls.
Have experience with cloud infrastructure, particularly AWS.
Be proficient with TypeScript and Node.js.
Be familiar with databases, queues, object storage, infrastructure as code, and distributed cloud services.
Be able to work autonomously on ambiguous technical challenges, gather requirements, and move projects forward without fully defined specifications.
Communicate technical tradeoffs clearly, provide constructive feedback, and collaborate across teams.
Proxy management, request routing, or high-volume traffic management experience is valuable.
Social-media APIs, large-scale data collection, data-quality frameworks, or freshness and coverage monitoring experience is a bonus.

Build and evolve backend systems that collect and maintain more than 400 million creator profiles across Instagram, TikTok, and YouTube.
Develop collection infrastructure to process billions of data points while maintaining freshness, coverage, and data quality.
Design resilient services that handle third-party API instability, rate limits, provider outages, platform changes, and partial failures.
Optimize requests, proxy usage, retries, storage, compute, and other infrastructure costs.
Design and maintain systems that determine which creators to collect, when to collect them, and how frequently.
Own backend systems across requirements gathering, architecture, implementation, testing, deployment, monitoring, operation, and iteration.
Build observability, alerting, monitoring, and operational safeguards for collection failures, data-quality issues, coverage gaps, and freshness regressions.
Work with data, search, product, and engineering teams to establish reliable system interfaces and dependencies.
Evaluate technical approaches through production experiments, including throughput, failure modes, scalability, reliability, and unit economics.
Contribute to engineering standards, architecture decisions, code reviews, and technical direction for production-critical infrastructure.

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