Chainalysis Careers
Staff Software Engineer, Graphs
Aarhus Office. Posted 2 months ago
The role
You will lead the design, build, and maintenance of customer facing web features, APIs, and services. You will drive the direction of the graphing platform and lead the architecture of cloud-native data ingest and aggregation processes.
What you will do
- Lead the architecture, maintenance and development of serving cloud-native data ingest and aggregation processes
- Drive the delivery of features across the product suite to detect activities
- Own and scale high-performance services on AWS
- Lead the team's modernisation efforts towards a streaming architecture
- Own and drive the direction and enablement of the graphing platform
- Debug and resolve production issues across multiple systems and services
- Mentor and grow engineers across the team
Required qualifications
- Proven experience leading the design and implementation of cloud-native services-based systems in a major cloud provider like AWS or GCP
- A strong track record of mentoring engineers, leading cross-team projects, and driving design and technology decisions at a senior or lead level
- The ability to align technical execution with product and design partners
- Deep experience with object-oriented programming languages
- A strong technical background with extensive experience working directly on complex backend and/or frontend systems and projects, including in leadership or lead engineer roles
- Good understanding of both frontend and backend best practices and paradigms
- Integrated AI impactfully in customer-facing products or engineering infrastructure
Nice to have
- Experience with AI-friendly and driven systems
- Exposure to or interest in the cryptocurrency technology ecosystem
- Terraform and Kubernetes knowledge
About the company
Chainalysis is a blockchain data platform that connects the movement of digital assets to real-world services. The company uses blockchain data and AI to help organizations investigate illicit activity and manage risk exposure.