Senior Backend Engineer - Data Core

Lever, Inc.; Schweiz; Remote; CHF 75.000 - 103.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Stock options

Fully remote Europe

Flexible hours

Unlimited vacation

Learning budget

Ownership of infra

Team offsites

Zusammenfassung

Lever, Inc. in Switzerland is seeking a Senior Backend Engineer – Data Core to build the infrastructure behind a massive creator data platform. You will own end-to-end backend systems handling 400M+ creator profiles from major social platforms, with a focus on reliability, efficiency, and scale.

The role emphasizes autonomous problem-solving, deep collaboration with data, search, and product teams, and a remote-first, async-friendly culture. Strong cloud and backend tech experience are essential.

Qualifikationen

• Proven experience building large-scale backend or data systems with reliability and throughput.
• Takes systems from concept to production: scoping, architecture, release, and operation.
• Strong knowledge of distributed systems and handling partial failures and backpressure.
• Experience with third-party APIs and external dependencies that are rate-limited.
• Operational ownership via observability, monitoring, alerting, and runbooks.
• Ability to work autonomously on ambiguous technical challenges.
• Excellent communication and collaboration across teams.
• Proficient with AWS and backend stack (TypeScript, Node.js).

Aufgaben

• Build and evolve backend systems for collecting and maintaining 400M+ creator profiles across Instagram, TikTok, and YouTube.
• Develop reliable data-collection infrastructure with freshness and coverage.
• Design resilient services against third-party API instability and outages.
• Optimize data-collection economics: requests, proxies, retries, storage, compute.
• Define when and how often to collect creators to balance value and cost.
• Own backend systems through design, deployment, monitoring, and iteration.
• Build observability, alerts, and safeguards to detect failures and data-quality issues.
• Collaborate with data, search, product, and engineering teams for interfaces.
• Evaluate approaches via production experiments considering throughput and scale.
• Contribute to engineering standards and architectural decisions.

Kenntnisse

Large-scale backend systems

Distributed systems

Autonomous / self-driven

Observability & reliability

Operational ownership

Strong communication

Cloud experience

Tools

AWS

TypeScript

Node.js

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer – Data Core based in Switzerland.

This is a senior backend engineering role focused on building the infrastructure that powers a large-scale creator data platform. You’ll design and operate systems responsible for collecting and maintaining data on more than 400 million creator profiles across major social platforms. The role involves solving complex distributed-systems challenges around reliability, freshness, scalability, external dependencies, and cost efficiency. You’ll have end-to-end ownership, from shaping ambiguous problems and designing architectures to deploying, monitoring, and continuously improving production systems. You’ll work with high-volume data, third-party APIs, proxy networks, and cloud infrastructure where small technical improvements can have a significant business impact. The environment is remote-first, async-oriented, collaborative, and designed to give senior engineers substantial autonomy.

Accountabilities

• Build and evolve backend systems responsible for collecting and maintaining 400M+ creator profiles across Instagram, TikTok, and YouTube.

• Develop reliable collection infrastructure capable of processing billions of data points while maintaining appropriate levels of freshness, coverage, and data quality.

• Design resilient services that can handle third-party API instability, rate limits, provider outages, platform changes, partial failures, and other external disruptions.

• Improve the economics of large-scale data collection by optimizing requests, proxy usage, retries, storage, compute, and other infrastructure costs.

• Design and maintain systems that determine which creators should be collected, when they should be collected, and how frequently, balancing customer value with operational cost.

• Own backend systems throughout their lifecycle, including requirements gathering, architecture, implementation, testing, deployment, monitoring, operation, and iteration.

• Build strong observability, alerting, monitoring, and operational safeguards to identify collection failures, data-quality issues, coverage gaps, and freshness regressions before they affect customers.

• Work closely with data, search, product, and engineering teams to establish reliable interfaces and dependencies between systems.

• Evaluate technical approaches through production experiments, considering throughput, failure modes, scalability, reliability, and unit economics before making larger investments.

• Contribute to engineering standards, architecture decisions, code reviews, and technical direction across production-critical infrastructure.

Requirements

• Proven experience building large-scale backend or data systems where reliability, throughput, latency, scalability, and cost are important considerations.

• Demonstrated ability to take systems from concept to production, including scoping, architecture, implementation, release, operation, measurement, and continuous improvement.

• Strong knowledge of distributed systems and the ability to reason about partial failures, retries, idempotency, backpressure, scaling, fault tolerance, and operational tradeoffs.

• Experience building and maintaining integrations with third-party APIs or external dependencies that may be rate-limited, unreliable, or subject to frequent changes.

• Practical experience with proxy management, request routing, or high-volume traffic management is valuable, including an understanding of the challenges associated with anti-bot systems and responsible large-scale traffic handling.

• Strong operational ownership, with experience using observability, monitoring, alerting, runbooks, and data-quality controls to keep production systems reliable after deployment.

• Ability to work autonomously on ambiguous technical challenges, gather requirements, identify the right questions, and move projects forward without needing fully defined specifications.

• Strong communication and collaboration skills, with the ability to explain technical tradeoffs clearly, provide constructive feedback, and work effectively across teams.

• Experience with cloud infrastructure, particularly AWS, and strong proficiency with backend technologies such as TypeScript and Node.js.

• Familiarity with databases, queues, object storage, infrastructure as code, and distributed cloud services.

• Bonus experience with social-media APIs, large-scale data collection, data-quality frameworks, or freshness and coverage monitoring.

• Interest in the creator economy or social platforms is a plus, but prior industry experience is not required.

Benefits

• Competitive compensation: Annual salary range of €80,000–€110,000, plus stock options. The exact package depends on location, employment type, skills, and experience.

• Meaningful equity: Stock options designed to provide employees with meaningful ownership as the organization grows.

• Fully remote in Europe: Work from wherever you do your best work, with some overlap with GMT+3.

• Flexible working hours: The focus is on outcomes and impact rather than fixed working schedules.

• Unlimited paid vacation: Take the time you need to rest, recharge, and maintain a sustainable work-life balance.

• Personal development support: Courses, books, conferences, and other learning opportunities are supported when they contribute to your growth.

• Real ownership: Take production-critical infrastructure from initial concept through deployment and operation without unnecessary layers of process.

• Regular offsites: Connect with colleagues in person through recurring company gatherings while maintaining a remote-first working model.

• Deep-work environment: Purposeful meetings, focused collaboration, and plenty of time for designing, building, hardening, and operating systems.

• Modern technical stack: Work with AWS, Pulumi, TypeScript, Node.js, Aurora Limitless/Postgres, S3, CloudWatch, ECS, SQS, Athena, proxy networks, and custom routing infrastructure.

• Fast interview process: The hiring process is designed to move quickly and can be completed in under a week, with an introductory conversation, coding interview, system design interview, team interview, and final culture and alignment conversation.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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