Roles remotos de Spark para candidatos en Reino Unido.

Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills

Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis.

Long-term ownership of a significant domain within the clearing house: customer onboarding workflows, entitlement management, or data validation pipelines

5-7 years of software engineering experience, with a track record of designing and building complex systems

Operate and develop the Elastic Build service, our Kubernetes + GitHub + Cloud Run pipeline that converts package specifications into real downloadable artifacts, improving reliability, performance, resource usage

Build and maintain core components of the clearing house in Go on GCP including customer onboarding flows, entitlement logic, and data ingestion pipelines

Design, build, and maintain secure CI/CD pipelines with security gates that catch issues before they reach production.

Set the technical direction for the Athena clearing house by making the hard architectural calls on data validation pipelines, customer entitlement systems, workflow orchestration, upstream reconciliation, OSV publication

Own the product security research agenda for Chainguard scanning the broader ecosystem, identifying emerging attack patterns, and translating them into clear risks and opportunities for Chainguard and our customers.

Find high-leverage opportunities: Run listening tours and current-state assessments across functions. Identify and prioritize the workflows where AI can deliver outsized impact, weighing impact potential against feasibility

Collaborate proactively with a distributed team

You will lead a team building scalable data solutions for Kubernetes and cloud machines

Understand Ubuntu, Linux, networking and services in real-world environments

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

Work across the entire Linux stack, from kernel, networking, storage, to applications

Understand Ubuntu, Linux, networking and services in real-world environments

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

Design and implement recommender systems to improve product discovery and enhance customer engagement across digital and physical platforms.

Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks

The "Lost Node" Investigation: Debugging cluster-level blockers to solve why pods aren't scheduling despite available capacity