Chainalysis - Engineering Manager, Platform
Requirements
• Conceptual understanding of cloud-native ecosystems and architectural trade-offs. • Experience with modern CI/CD patterns such as GitOps, Argo, or Flux. • Interest in the emerging security and quality considerations surrounding AI-generated code. • Experience managing distributed teams across multiple time zones. • Technologies we use: • AWS, Kubernetes • Java, Spring Boot, PostgreSQL, Golang • AI at Chainalysis • AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. • AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
Responsibilities
• Lead and grow a distributed team of platform engineers, hiring strategically as the team scales. • Own the roadmap for the Software Delivery Lifecycle (SDLC), balancing immediate developer friction with long-term platform bets. • Build deep relationships with engineering leads to drive the adoption of standardized pipelines and platform-managed solutions. • Establish and measure key performance metrics (such as DORA) to track improvements in deployment frequency and release confidence. • Define the strategy for AI in the SDLC, setting quality gates and guardrails for AI-assisted code. • Participate in an incident-commander rota to ensure operational health and a sustainable team burden. • We’re looking for candidates who have: • Demonstrated experience managing DevX, Platform, or Infrastructure teams for internal customers. • A strong background in hands-on software engineering prior to moving into management. • A proven track record of attracting, developing, and retaining high-performing engineering talent. • Experience measuring and improving software delivery using DORA metrics or similar frameworks. • Excellent communication skills with the ability to influence cross-functional teams without direct authority.
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