Senior Database Administrator
Kraken - United Kingdom, London, Chile, South Africa, Colombia, Spain, Czech Republic, Sweden, Brazil, Canada, Cyprus, Ireland, Poland, Portugal, Hungary, Lithuania, Switzerland, Mexico, Argentina, Peru, Bulgaria, Romania
Posted May 20, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Database Administrator United Kingdom, London, Chile, South Africa, Colombia, Spain, Czech Republic, Sweden, Brazil, Canada, Cyprus, Ireland, Poland, Portugal, Hungary, Lithuania, Switzerland, Mexico, Argentina, Peru, Bulgaria, Romania Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The Team You will join a senior team of DBAs, SREs, and platform engineers responsible for the database and vector data platforms behind Kraken's most critical services. The group combines deep operational expertise with a platform mindset: we design systems that let engineering teams move quickly while preserving strong guarantees around performance, correctness, security, and reliability. The team is entering an important phase of evolution as Kraken continues to expand globally and as AI-enabled product and internal platform use cases grow. Over the next year, we are focused on strengthening PostgreSQL operational excellence, building reliable vector data capabilities, preparing for significant future scale, and increasing automation and self-service so database operations become safer and more efficient at scale. This is not a traditional keep-the-lights-on DBA team. Our work centers on scaling high-throughput PostgreSQL environments, operating vector search and embedding stores with production discipline, shaping reliable patterns for high-traffic systems, and transforming
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