Senior Database Engineer

Senior Database Engineer

Vollzeit 60000 - 80000 € / Jahr (geschätzt) Kein Homeoffice möglich
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Auf einen Blick

  • Aufgaben: Entwickle und verwalte Datenbankinfrastrukturen in einer dynamischen Kubernetes-Umgebung.
  • Unternehmen: DataRobot, ein führendes Unternehmen im Bereich KI mit globaler Reichweite.
  • Vorteile: Umfassende Gesundheitsleistungen, flexible Arbeitszeiten und bezahlte Elternzeit.
  • Weitere Informationen: Wachstumsorientierte Unternehmenskultur mit vielfältigen Karrieremöglichkeiten.
  • Warum dieser Job: Gestalte die Zukunft der KI und entwickle deine Fähigkeiten in einem innovativen Umfeld.
  • Qualifikationen: Mindestens 4 Jahre Erfahrung mit großen, hochverfügbaren Datenbanksystemen.

Das prognostizierte Gehalt liegt zwischen 60000 - 80000 € pro Jahr.

Data Robot delivers AI that maximizes impact and minimizes business risk.

Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale.

Data Robot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets.

Organizations worldwide rely on Data Robot for AI that makes sense for their business — today and in the future.

Datarobot is actively seeking a Senior Database Engineer to join our Fleet Management team.

This is a pivotal role that requires creativity, deep technical knowledge, and great enthusiasm to manage our stateful infrastructure.

This position is an exciting opportunity to own the full lifecycle (administration, automation, and troubleshooting) of our critical database systems operating within a large-scale, multi-tenant Kubernetes environment.

You will be essential in driving our Git Ops and Helm-centric deployment strategy, focusing on ensuring zero-downtime upgrades and maximizing performance and stability for our core platform services.

This role offers the perfect opportunity to hone your skills and gain direct exposure to advanced cloud database architecture and container orchestration challenges.

Key Responsibilities

  • Design, implement, and maintain database infrastructure using Stateful Sets, Operators, and Helm charts to ensure databases are reliable, self-healing, and scalable.
  • Own the deployment lifecycle for database clusters by managing version control for Helm charts and configuration templates.
  • Support and administer production database systems by proactively instrumenting and monitoring performance, security, and availability within the containerized environment.
  • Perform zero-downtime upgrades and migrations for major and minor releases, developing and maintaining Helm hooks and custom scripts to automate complex stateful operations.
  • Manage and optimize performance for backend data stores, ensuring data consistency and integrity across pod life cycles.
  • Develop and maintain automation tools and scripts (Bash, Python) specifically focused on simplifying Kubernetes management tasks, such as provisioning users/secrets and monitoring cluster state.
  • Knowledge, Skills & Abilities
  • 4+ years of experience managing large-scale, high-availability database systems (Postgre SQL / Mongo DB)
  • Python or Bash automation scripting
  • Nice to have
  • Experience with Kubernetes & Helm
  • Experience with advanced Postgre SQL HA concepts (e. g., streaming replication, Repmgr/Patroni) and/or Mongo DB sharding and replication
  • Experience with AWS, GCP, or Azure
  • Experience in using version control systems, configuration management tools and Iaa C such as Terraform, Cloud Formation
  • Experience using database tools such as pg Admin, Pgbench, Robo3t, Studio3t, Mongo DB Ops Manager and Mongo mirror
  • Experience with prometheus, cloudwatch and monitoring tools both within kubernetes and external cloud managed infrastructure

Benefits

Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

Equal Employment Opportunity Statement

Data Robot is proud to be an Equal Employment Opportunity and Aff… We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Data Robot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

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Senior Database Engineer Arbeitgeber: DataRobot

DataRobot ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern nicht nur wettbewerbsfähige Gehälter und umfassende Sozialleistungen bietet, sondern auch eine Kultur der kontinuierlichen Weiterbildung und des technischen Exzellenz fördert. Als Director of AI Engineering haben Sie die Möglichkeit, ein hochqualifiziertes Team zu leiten und an innovativen Projekten zu arbeiten, die echten Einfluss auf die Geschäftswelt haben. Zudem profitieren Sie von einem flexiblen Arbeitsumfeld und der Chance, Ihre Karriere in einem dynamischen internationalen Umfeld voranzutreiben.

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Kontaktdaten:

DataRobot Recruiting-Team

Wir glauben, dass du diese Fähigkeiten brauchst, um Senior Database Engineer mit Bravour zu bestehen

Datenbankinfrastruktur-Design
Kubernetes
Helm
PostgreSQL
MongoDB
Automatisierungsskripting (Python, Bash)
Versionierungskontrolle