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Senior Engineer, Unified Compute

Seqera

BarcelonaFull-timeMid LevelOn-site

Job Description

Overview

As a Senior Software Engineer on the Unified Compute team, you will own the backend layer that makes compute provisioning, usage tracking, and billing reliable and scalable across multi-cloud and on-prem environments. You’ll shape architecture, data models, and APIs to support configurable, pay-as-you-go compute for scientists. You’ll collaborate with product, platform, and infrastructure teams to deliver a seamless, customer-centric platform experience.

This role offers ownership end-to-end and a clear impact on how researchers run workloads and understand costs.

Compensaciones / Beneficios
  • 23 days vacation per year
  • equity
  • private health insurance
  • private life insurance
  • home office allowance
  • learning and development budget (1,000 USD)
Responsabilidades
  • Own integration between Seqera Intelligent Compute and the Seqera Platform
  • Manage compute environments across AWS, Azure, GCP, Kubernetes, HPC schedulers and GPU workloads
  • Integrate with cloud provider APIs, handling partial failures and quota issues
  • Own billing and pay-as-you-go path, ensuring accurate metering and invoicing
  • Design data models and APIs that stay consistent across services and releases
  • Improve error visibility and add tests/observability for faster incident diagnosis
  • Collaborate with Platform, product, and support teams; document systems for sustainability
  • Take design decisions within scope and ensure knowledge is documented
Requisitos principales
  • 4+ years building and operating production backend services with ownership of at least one
  • Strong in Java and/or Groovy, with Micronaut, Spring Boot or similar
  • Hands-on experience with a major cloud provider API for provisioning resources
  • Experience with Kubernetes workloads
  • Commitment to data correctness and potentially billing/meters systems
  • Experience designing REST APIs and data models, handling versioned integrations
  • Accountability for a customer-facing production system
  • Ability to operate with ambiguity and drive work independently
  • Willingness to use AI as part of engineering practices
  • ownership
  • problem-solving under ambiguity
  • collaboration with cross-functional teams
  • Java
  • Groovy
  • Micronaut

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