
Job Overview
Location
Berlin
Job Type
Full-time
Category
Engineering
Date Posted
August 8, 2026
Full Job Description
📋 Description
- • We're looking for a Senior Backend Engineer to own and scale the infrastructure behind one of the most widely adopted open-source LLM engineering platforms in the world — processing terabytes of AI tracing data per day for thousands of AI teams, including a significant portion of the Fortune 50.
- • This is a hybrid role based in EU timezones, with approximately one week per month in our Berlin office. You can be based anywhere in the EU.
- • You will own and optimize the ingestion pipeline: Work on throughput, latency, reliability, and cost efficiency across a high-volume data pipeline that flows from our API through to a ClickHouse-backed analytics store.
- • Make ClickHouse sing: Design and evolve schemas, write and tune complex analytical queries, and partner with ClickHouse engineers to push the limits of what's possible at petabyte scale.
- • Build backend abstractions: Create reusable, well-documented building blocks so that product engineers can ship data-heavy features without reinventing infrastructure each time.
- • Operate production systems: Run and improve cloud deployments across multiple production environments — handling capacity planning, incident response, and monitoring with SRE discipline.
- • Make self-hosting effortless: Maintain and improve deployment tooling from a single Docker Compose setup all the way to enterprise-grade Helm chart deployments on Kubernetes.
- • Contribute to open source: Everything you ship is public and immediately used by developers worldwide — participate in PR reviews, issue triage, and community engagement.
🎯 Requirements
- • Based in the EU and able to work EU timezones; willing to be in Berlin approximately one week per month
- • Legally authorized to work in the EU without company visa sponsorship
- • Hands-on experience with ClickHouse or other columnar/analytical databases — schema design, query optimization, and managing large-scale analytical workloads
- • Experience designing, building, and operating high-throughput data pipelines (streaming and/or batch) capable of processing terabytes of data per day
- • Production experience with observability and distributed tracing systems (metrics, logs, traces) for large-scale, low-latency services
- • Experience deploying and operating services with Docker and Kubernetes, and applying SRE practices such as capacity planning, incident response, and monitoring
- • Proven ability to take end-to-end ownership of backend/platform components and work autonomously in a small, fast-moving engineering team
- • 3+ years of backend or full-stack engineering experience
🏖️ Benefits
- • Salary: €90,000 – €160,000 per year, depending on experience
- • Meaningful equity in a well-backed, high-growth company (previously Series A/B stage investors; now part of a larger technology organization)
- • Small team = large scope and direct impact on product and architecture
- • Work with — and get direct access to — world-class database engineers at the infrastructure layer you depend on daily
- • Flexible remote-first culture with regular in-person time in Berlin
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Clera
Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.
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