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Senior Engineer (Ingestion)

Levellr
Contract type
Ongoing
Work mode
Remote
Experience
Senior · Not stated

Level inferred from job title

Job description

Senior Engineer role in Levellr's ingestion squad, owning end-to-end data collection, processing and storage across integrations as the platform moves to an event-driven architecture.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Remote

What you'll do

  • Own end-to-end data collection, processing, and storage across integrations
  • Design event flows, queuing, retries, failure recovery, and data consistency at scale during the transition to an event-driven architecture
  • Focus on throughput, latency, deduplication, backfills, schema design, and data-store performance while building pipeline observability
  • Collaborate with product and AI teams to identify pipeline bottlenecks and deliver continuous incremental updates in ambiguous problem spaces
  • Help add new platforms fast (Discord, Reddit, Steam, X and customers' own sources), building the system that makes each new integration quick and cheap, increasingly with AI agents doing the build

What we're looking for

  • Hands-on Senior Engineer who has owned high-volume production data pipelines and can take immediate system ownership
  • Can detail past systems owned, including throughput volume, load patterns, performance bottlenecks, and structural optimizations
  • Production experience with messaging queues, pub/sub, or streams is essential, alongside understanding ordering, idempotency, retries, and dead-letter handling
  • Proactively addresses risks, communicates technical trade-offs, and takes accountability for operational health in production
  • Solid backend engineering experience with significant focus on data pipelines and infrastructure
  • Proficiency with TypeScript and Node.js across backend services and database stores
  • AI-native engineering day to day: builds with coding agents and knows where they help and where they bite
  • Strong data-store skills at scale (schema design, query optimisation, indexing, partitioning), ideally across both relational and analytical stores such as ClickHouse
  • Hands-on ownership of ingestion edge cases: rate limits, schema drifts, backfills, and partial failures
  • Focus on pipeline observability, monitoring data freshness, and maintaining strict data quality standards
  • Ability to navigate ambiguity, establish technical clarity, and drive progress independently
  • Preference for incremental delivery based on real-world usage rather than lengthy isolated development cycles
  • Clear communication through concise PRs, technical docs, and async updates that elevate team performance
  • Located in European timezones with core overlap with UK business hours

Nice to have

  • Experience with GCP Pub/Sub, Kafka, or equivalent event-streaming technologies
  • Familiarity with Temporal or other durable execution frameworks
  • Hands-on work with third-party platform APIs, handling rate limits and dynamic payloads
  • Direct experience managing Discord, Reddit, or social media datasets
  • Exposure to how ingested data feeds downstream AI or search systems
  • Background in high-growth startup environments driving fast-paced technical decisions
  • Experience migrating live systems toward event-driven architectures without service interruption
  • Track record of impactful technical writing, open-source projects, or engineering documentation

Your team

ingestion squad

Team owning end-to-end data collection, processing, and storage across integrations

Benefits

  • Highly competitive basic salary - full details shared at the initial interview stage
  • 25 days annual leave plus UK public holidays
  • Remote or hybrid working, with flexible working hours
  • Co-working space access, including Soho Works locations across London and the US
  • Stock option plan
  • Home office budget once you pass probation
  • Mental health support through Spill
  • Twice-yearly company meet-ups

How to get hired

  1. 1Screening call with our Talent Partner (Matt)
  2. 2Introductory conversation with our Engineering Manager (Miro): product, technical direction and how the team works
  3. 3A 90-minute async build task, in your own time
  4. 460-minute technical follow-up with two of our engineers, on your task and your experience
  5. 560 minutes with Ben, our CTO
  6. 630 minutes with Isabelle, our Head of People

Apply

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About Levellr

The enterprise community intelligence platform for Discord, Reddit and a growing range of community platforms

Levellr is the enterprise community intelligence platform for Discord, Reddit and a growing range of community platforms, trusted by major gaming companies like Scopely, Krafton, and Epic, alongside global brands such as Google, YouTube, and SoundCloud to grow and monetise their communities. It helps teams understand members, spot trends, improve engagement, and make data-driven commercial decisions.

Key facts

  • 30+ employees
  • 2021
  • Founded by Tom (CEO) and Ben (CTO), who have experience in both start-ups and large scale companies (YouTube, Eleven Sports)
  • Backed by a number of successful angels (Mark Pincus, Dylan Collins, Mitch Lasky, Bing Gordon, Frank Gibeau to name a few)
  • Product growing in multiple verticals, seeing a 6x growth over the last 3 years
  • Product-led company building a sustainable business by solving customers' most pressing problems

Partners & customers

ScopelyKraftonEpicGoogleYouTubeSoundCloud

What they value

  • We have ownership. We embrace change and take bold risks.
  • We get shit done. We have a bias for action and love creating value from our code and our conversations.
  • We disagree and commit. We give radically honest feedback and challenge assumptions, then get behind the result & move on.
  • We grow in uncertainty. We embrace change, learn from feedback, and continuously improve what we do for our customers.
  • We care. We care about our team, our customers, and the communities we serve.