Qdrant Logo

Qdrant

Senior Software Engineer, Cluster & Lifecycle (EMEA)

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in Greece
Senior level
Remote
Hiring Remotely in Greece
Senior level
Design and build Go-based Kubernetes operators and control-plane services managing Qdrant Cloud cluster lifecycles, including provisioning, scaling, upgrades, configuration, backups, restores, replication, and disaster recovery. Develop APIs and integrations, improve hybrid and private cloud capabilities, ensure safe operations, and participate in on-call incident response and root cause analysis.
The summary above was generated by AI

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.

Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.

As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.

The Team and Your Impact

Qdrant Cloud is growing fast, and most of the new product features on our 2027 roadmap land with this team. That means a lot of new work: cross-region replication, disaster recovery and new ways to manage clusters.

This role is for engineers who like hard distributed systems problems, write Go every day, and want their code to manage real customer databases in production.

What You Will Own
  • Design and build features in our Kubernetes operator and control-plane services, in Go.

  • Own the full cluster lifecycle: provisioning, scaling, upgrades, configuration changes, backups and restores.

  • Design APIs and integrations that let people, and more and more AI agents, manage Qdrant Cloud.

  • Close the feature gaps between Hybrid Cloud and our managed cloud, and extend Private Cloud.

  • Make cluster operations safe by default: controlled rollouts, minimal disruption to customers and clear failure handling.

  • Take part in on-call for the services you build, including incident response and root cause analysis.

  • Work closely with other teams (Operations, Platform, and Billing & IAM teams, Product and Support).

Who you are
  • 5+ years of software engineering experience, with a good part of it on infrastructure, platform or distributed systems.

  • Strong proficiency in Go.

  • Experience building Kubernetes operators, controllers or similar orchestration services (reconciliation loops, retries, recovering from partial failures).

  • Strong understanding of distributed systems: consistency, failure handling, replication.

  • Hands-on experience with at least one major cloud provider (AWS, GCP or Azure).

  • Experience designing APIs (gRPC or REST) and with CI/CD and automated testing.

  • Comfortable participating in on-call rotations and handling production incidents.

  • Ownership mindset and clear communication skills.

Nice to have
  • Experience running stateful workloads or databases on Kubernetes.

  • Background in database, storage or DBaaS products.

  • Experience with backup, replication or disaster recovery systems.

  • Experience with Prometheus, Grafana, OpenTelemetry or similar tooling.

  • Contributions to open-source projects, especially in the Kubernetes ecosystem.

Why join us
  • A remote-first, international team working on cutting-edge AI infrastructure.

  • A competitive salary with additional perks.

  • Flexible working hours and async-friendly culture.

  • High ownership and real impact.

  • Open-source, engineering-driven culture.

  • Choose your own laptop equipment.

For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.


Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.

Come build with us!


For information on how we handle your personal data, please refer to our Recruitment Privacy Policy
#LI-REMOTE

Similar Jobs

Yesterday
In-Office or Remote
Mid level
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
Build and own Finance data models covering ledgers, settlements, transactions, invoicing, fees, and collateral. Reconcile internal and external systems, investigate discrepancies, support month-end close and audits, automate reporting, implement data quality tests, define reusable financial metrics, and create self-service reporting. Partner with Finance, Accounting, data, and platform engineering teams to maintain trusted, documented data systems.
Top Skills: AirflowBigQueryDagsterDatastreamDbtFivetranLightdashLookerMeltanoOmniPythonRedshiftSnowflakeSQL
Yesterday
Remote or Hybrid
Mid level
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
Build and maintain scalable batch and streaming data pipelines for payments, ledger, transaction, and blockchain data. Own ingestion from databases, files, APIs, and onchain sources; develop incremental dbt models; orchestrate workflows in Dagster; and implement data quality, freshness, reconciliation, monitoring, deduplication, and late-data handling. Partner with engineering, analytics, data science, and risk teams to support reliable reporting and machine-learning features.
Top Skills: AirbyteAirflowApache BeamBigQueryCdcClickhouseDagsterDataflowDatastreamDbtDebeziumEvmFivetranFlinkGCPGcsKafkaMeltanoPub/SubPythonRustSftpSnowflakeSolanaSQL
Yesterday
In-Office or Remote
Mid level
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
Build and operate Rain’s scalable batch and streaming data platform, including BigQuery, streaming infrastructure, orchestration, BI, ML capabilities, governance, access controls, and infrastructure as code. Ensure reliable, secure, compliant, and cost-efficient data processing through monitoring, schema management, lineage, CI/CD, incident response, and automation. Support fraud and risk models with feature pipelines and advise engineering teams on event and CDC design.
Top Skills: AirflowAWSAzureBigQueryCi/CdClickhouseDagsterDataflowDatastreamDebeziumFlinkGCPIamKafkaLightdashPub/SubPythonSnowflakeSQLTerraformVertex Ai

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account