Summary

We’re looking for a Staff Software Engineer to join our Global Intelligence Team (GIT). You’ll join a team responsible for shaping and executing the vision and goals of our collection and data production apparatus through cross-company interplay, unique collection methodologies, and sensitive public and private sector partnerships. Our team is responsible for developing new cutting-edge behavioral heuristic algorithms, leveraging machine learning to develop analytic tools and identify unique data insights to fuel our data solutions platform, and building production-level engineering pipelines and systems. 

In this role, you’ll:

1. 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.
2. Promote efficiency and scale in our pursuit to continue to provide best-in-class data for our products and customers across the globe
3. Co-develop and modernize engineering systems to increase efficiencies and scalability for our data and tooling. 
4. Help to mentor, lead, and empower a growing team of engineers.
5. Leverage your technical acumen and leadership skills to help develop and advance our team’s strategic vision.
6. 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:  

1. Expertise with object-oriented programming languages, including Python, PySpark, and Spring-based Java.
2. Experience with building and running your own services, i.e. to monitor and maintain shipped features/services. We primarily use Datadog and Humio.
3. A passion for solving unique and challenging data-centric problems.
4. In-depth experience with cloud providers, ideally AWS.
5. An analytic mindset and approach with experience working closely with data analytics, data science, intelligence, and/or research teams.
6. 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.
7. The ability to work well with others and multi-task with a rigorous work ethic.
8. Experience managing or technically leading small teams of engineers and data scientists.

Nice to have experience:

1. Re-architecting or modernizing existing engineering systems and pipelines
2. Infrastructure as code (IaC) tools such as Terraform
3. Frontend development; we mainly use React and Angular
4. Databricks and DBT workflows
5. Configuring Kubernetes clusters and deploying microservices applications.
6. Knowledge, passion, and experience in cryptocurrency space.

Technologies we use: 

1. Kubernetes
2. AWS Cloud 
3. Terraform 
4. Databricks
5. Postgres
6. Spring Boot
7. Datalore
8. Java
9. Python

Skills

• AWS
• Development
• Java
• Leadership
• Problem Solving
• Python
• Software Engineering