Senior Backend Engineer - Data Core
New
M
ModashCreator data
Fully remote in Europe; We hire across Europe, some overlap with GMT+3Full-TimeSenior
SalaryAnnual salary range is 80,000€ - 110,000€ for this role. Your compensation is made up of salary and stock options.
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Job Details
- Required Skills
- AWSNode.jsPostgreSQLTypeScriptDistributed Systems
Requirements
- Experience building large-scale backend or data systems, including high-volume services where reliability, throughput, latency, and cost matter.
- Experience shipping systems from concept to production, including scoping, architecture, implementation, release, operation, and iteration.
- Ability to reason about distributed systems, including partial failure, retries, idempotency, backpressure, scaling, and operational tradeoffs.
- Experience building resilient integrations with third-party APIs or other external dependencies that may be rate-limited, unstable, or change.
- Experience with proxy management or request routing for high-volume traffic.
- Operational ownership, including observability, alerting, and runbooks.
- Ability to work autonomously on ambiguous problems and gather requirements.
- Ability to explain tradeoffs, give direct feedback, and collaborate across teams.
- Bonus: experience with social-media APIs, data-quality frameworks, large-scale collection systems, or freshness and coverage monitoring.
Responsibilities
- Build and evolve systems that collect and maintain 400M+ creator profiles across Instagram, TikTok, and YouTube.
- Keep billions of data points fresh for search, analytics, APIs, and customer-facing products.
- Design services that handle third-party API instability, rate limits, provider outages, platform changes, and partial failures.
- Improve collection coverage and freshness while managing request, proxy, storage, and compute costs.
- Shape problems, design architectures, write and review code, ship systems, observe them, and improve them.
- Build monitoring and operational safeguards to catch gaps and regressions.
- Collaborate with Data Search, Data Insights, product teams, and company leadership.
- Improve data-quality checks and monitoring for collection coverage.
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