Founding SRE β€” Real-Time Data Reliability at Scale in London

Founding SRE β€” Real-Time Data Reliability at Scale in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Dex

At a Glance

  • Tasks: Design and build resilient systems for a petabyte-scale platform.
  • Company: Join Dex, a pioneering tech company focused on data reliability.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Other info: Dynamic startup environment with significant impact on customer success.
  • Why this job: Be a founding engineer and shape the future of real-time data reliability.
  • Qualifications: Experience in system design, Kubernetes, and data pipelines.

The predicted salary is between 60000 - 80000 Β£ per year.

Dex is seeking a founding engineer for a new Resilience function to own availability, performance and scalability of a petabyte-scale platform.

You will design systems from scratch and ensure reliability at scale across thousands of customer sites.

You will build, deploy, and operate a centralized data ingestion pipeline, architect production Kubernetes clusters with Git Ops, and drive RCA-led preventative changes while documenting runbooks and system docs.

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Founding SRE β€” Real-Time Data Reliability at Scale in London employer: Dex

Join a pioneering early-stage venture-backed company at the forefront of building foundation models for extreme physics, where you will have the unique opportunity to shape the engineering culture from day one. With a strong focus on innovation and collaboration, this role offers competitive compensation, a dynamic work environment, and the chance to contribute to critical advancements in global infrastructure and energy. You'll be part of a small, research-heavy team that values your expertise and encourages personal growth, making it an excellent place for those looking to make a meaningful impact.

Dex

Contact Details:

Dex Recruitment Team

We think you need these skills to ace Founding SRE β€” Real-Time Data Reliability at Scale in London

System Design
Availability Management
Performance Optimisation
Scalability Engineering
Data Ingestion Pipeline Development
Kubernetes Architecture
GitOps