About the company
The global financial ecosystem is changing. Revolutionary blockchain technology has unlocked the potential for people around the world to have more equal access to wealth and information. This transformation has begun with the mass global adoption of cryptocurrencies but like all new financial systems, it needs greater trust to realize its full potential and remain safe from bad actors. That’s where we come in. The Chainalysis blockchain data platform enables businesses, governments, and banks to solve the world’s most high-profile criminal cases, paving the way for an economy built on blockchains.
Job Summary
In this role, you’ll:
📍Use creative problem-solving, data analysis, and research capacity to provide the best tooling, engineering systems, and data-science solutions to promote efficiency and scale in our pursuit to continue to provide best-in-class data for our products and customers across the globe. 📍Promote efficiency and scale in our pursuit to continue to provide best-in-class data for our products and customers across the globe 📍Co-develop and modernize engineering systems to increase efficiencies and scalability for our data and tooling. 📍Help to mentor, lead, and empower a growing team of engineers. 📍Leverage your technical acumen and leadership skills to help develop and advance our team’s strategic vision. 📍Continue to develop and expand your passion for growth, engineering, cryptocurrency, and intelligence by collaborating across our internal GIT teams and also with engineering teams in R&D and Product.
We’re looking for candidates who have:
📍Expertise with object-oriented programming languages, including Python, PySpark, and Spring-based Java. 📍Experience with building and running your own services, i.e. to monitor and maintain shipped features/services. We primarily use Datadog and Humio. 📍A passion for solving unique and challenging data-centric problems. 📍In-depth experience with cloud providers, ideally AWS. 📍An analytic mindset and approach with experience working closely with data analytics, data science, intelligence, and/or research teams. 📍A creative and open-minded approach to problem solving, unafraid to jump into a problem and get it sorted, even if it’s outside of your day-to-day role. 📍The ability to work well with others and multi-task with a rigorous work ethic. 📍Experience managing or technically leading small teams of engineers and data scientists.