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Senior Platform Engineer, Foundations

CompraTica Empleos

EMP:Technology
London Office
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Descripción

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies.

We are a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates.

Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that helps organizations investigate illicit activity, manage risk exposure, and participate in the cryptocurrency ecosystem with confidence.

Platform Engineering provides the shared infrastructure, tooling, and developer experience layer that powers every engineering team at Chainalysis.

The team is evolving toward consolidated, scalable platform patterns that support global growth, improve reliability, and reduce the operational burden on product engineers.

We partner closely with Developer Productivity, Information Security, Cost Optimization, and R&D teams to provide secure, self-service paths from development through production.

As a Senior Platform Engineer, you will design, build, and operate the foundational services that enable Chainalysis engineers to deliver and run software safely.

You will own complex technical work from inception through production, influence platform standards and roadmaps, and help create systems that are highly available, observable, secure, and easy for other engineers to use.

In this role, you’ll:Design, operate, and continuously improve highly available platform services, including managed Kubernetes clusters, Kafka, CI/CD systems, artifact management, and related shared infrastructureBuild secure, scalable infrastructure across AWS and other cloud environments using infrastructure as code and repeatable automationImprove production reliability through well-defined SLOs, graceful degradation, self-healing, automated recovery, and effective incident responseCreate self-service workflows and platform abstractions that reduce cognitive load and help R&D teams ship and operate.

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