Kraken Digital Asset Exchange

Infrastructure Engineer

• Extend and automate the existing container orchestration platform, ensuring its scalability, reliability, and performance
• Work closely with SREs from different teams to reduce their cognitive load related to the orchestration platform
• Implement and maintain security best practices for the orchestration platform, ensuring the security and availability of our systems
• Troubleshoot and resolve infrastructure issues as well as provide guidance and support to other team members
• Participate in on-call rotations to ensure the smooth operation of our critical systems

Senior Staff Core Infrastructure Engineer – Platforms Orchestration

Product Manager

• Own Inky’s outcomes end-to-end, with a near-term mandate to drive usage, retention, and repeat engagement
• Design and tune core loops, incentives, and progression to maximize replayability
• Obsess over the primary interaction - speed, feedback, and emotional payoff
• Treat the product like a live game - ship, observe, tune, repeat
• Build and evolve lifecycle systems including notifications, reactivation flows, and behavioral nudges
• Use data to find drop-offs, friction, and leverage points
• Partner closely with Design, Engineering, Data, and Marketing to ship fast and learn faster
• Ruthlessly prioritize - if it doesn’t move engagement, it doesn’t ship
• Fix bugs and papercuts that break flow or trust
• Evolve mechanics to raise stakes, sharpen outcomes, and increase replayability
• Capture what works and apply it beyond Inky

Staff Product Manager – Gamified Experiences

Attorney

• Serve as the DRI for Legal Operations, Legal Technology, and Legal AI strategy
• Own and evolve Legal’s operating model
• Partner with Executive leadership on Legal budgeting
• Lead legal resourcing, capacity planning, and vendor management
• Manage and govern Legal’s full technology stack
• Design, implement, and scale Legal intake, triage, demand-management, and AI-enabled workflows
• Establish metrics, dashboards, and operational controls

Director, Legal Operations

Machine Learning Engineer

• Set long-term technical direction for Kraken’s AI/ML strategy, influencing multiple teams and initiatives.
• Own the architecture and evolution of core AI/ML systems, including training, feature management, serving, experimentation, and monitoring.
• Lead cross-team efforts to standardize ML development and operational practices across the company.
• Drive the design and delivery of complex, high-impact ML systems for use cases such as fraud, risk, personalization, and recommendations.
• Partner with senior engineering, product, and data leaders to identify where ML can unlock step-change improvements in scalability and efficiency.
• Balance hands-on technical contributions with architectural leadership and design review responsibilities.
• Evaluate emerging ML and GenAI technologies and lead their adoption when they provide durable platform-level value.
• Mentor Staff and Senior engineers, shaping technical culture and raising the overall quality of ML engineering at Kraken.

Senior Staff AI/ML Engineer

• Serve as the DRI for Legal Operations, Legal Technology, and Legal AI strategy
• Own and evolve Legal’s operating model
• Partner with the CLO and Finance on Legal budgeting
• Lead legal resourcing, capacity planning, and vendor management
• Manage and govern Legal’s full technology stack
• Design, implement, and scale Legal intake, triage, demand-management, and AI-enabled workflows
• Establish metrics, dashboards, and operational controls
• Act as a force multiplier for Legal

SDET

• Collaborate closely with product managers, designers, and mobile developers to establish and refine testing processes for iOS and Android applications
• Design and implement mobile UI automation tests that are resilient to UI changes, reliable, and capable of delivering precise and actionable feedback
• Lead mobile test automation projects from planning to execution, ensuring seamless integration with the CI/CD pipeline
• Proactively document and report bugs, and work with development and product teams to resolve issues before release to users
• Advocate for best practices in mobile test strategy, including device coverage, performance profiling, and accessibility checks

Senior QA Automation Engineer – Consumer

Full-stack Engineer

• Lead design and development of Kraken’s web-based Capital Management Product — including UI/UX, backend, and API architecture
• Develop RESTful APIs and data connectors to integrate internal and external data sources (banking, wallet, exchange, and market feeds) into the Treasury risk environment
• Translate quantitative models into scalable, interactive web applications, allowing users to view, test, and act on liquidity and capital stress scenarios in real time
• Implement front-end interfaces using Django and React, with visualizations for liquidity ladders, funding gaps, and capital utilization metrics
• Design and automate daily and intraday data workflows, ensuring timely updates, data validation, and exception alerting
• Collaborate with Quantitative Risk Managers to integrate simulation outputs into usable business dashboards
• Optimize for performance, security, and scalability across multiple data environments, balancing speed and reliability
• Maintain documentation, testing, and Treasury data pipelines to ensure robust production deployment
• Add interactive data visualization and risk management alerting features using intraday data sets to help better risk manage the firm

Senior Software Engineer – Capital Markets, Treasury

• Collaborate closely with product managers, designers, and mobile developers to establish and refine testing processes for iOS and Android applications
• Design and implement mobile UI automation tests that are resilient to UI changes, reliable, and capable of delivering precise and actionable feedback
• Lead mobile test automation projects from planning to execution, ensuring seamless integration with the CI/CD pipeline
• Proactively document and report bugs, and work with development and product teams to resolve issues before release to users

Engineering Manager

• Drive decision making in building cutting-edge products.
• Transform large datasets from complex systems, generate actionable insights, and share the results with stakeholders at all levels of the company.
• Partner and lead projects with product management, engineering, client engagement, finance, and other enterprise level teams.
• Build out analytics and management report dashboards by collaborating closely with directors and cross functional teams to infuse analytics insights into major business priorities and enable data driven decisions.
• Partner closely with data engineering and enterprise systems team to define, plan, implement, and support the data infrastructure.
• Lead the definition of data requirements and controls to enable the integrity of the company’s analytics and management reporting.
• Drive projects and initiatives for assessment of current data and process infrastructure to support team objects.
• Support data analysis and reporting requirements, building and maintaining knowledge repository and technical documentation libraries for data lake and reporting.
• Run standup, workgroup meetings, identifying action items and addressing blockers to keep projects on track.

Senior Engineering Manager, Data Analytics – Data & AI

Frontend Engineer

• Design, develop, and maintain scalable, high-quality applications using TypeScript
• Collaborate with product managers, designers, and team members to deliver features end-to-end
• Write clean, maintainable code with a strong emphasis on type safety and performance
• Review code, provide constructive feedback, and uphold engineering best practices
• Debug, troubleshoot, and resolve complex technical issues
• Contribute to architecture decisions and technical roadmaps

Senior Software Engineer – Typescript, Onchain

Software Engineer, TypeScript, Onchain

Risk

• Support metadata and catalog initiatives, including column-level tagging, dataset documentation, and ownership attribution
• Contribute to data lineage and governance practices, helping improve audit readiness and visibility across pipelines and products
• Support and maintain Airflow DAGs, including simple pipeline changes, operational fixes, and automation tasks
• Assist with CI/CD workflows related to data pipelines, deployments, and platform tooling
• Help improve data pipeline reliability and consistency, partnering with senior engineers on enhancements and fixes
• Contribute to automation of reports and dashboards, enabling self-serve analytics for internal teams
• Support adoption of data governance standards across teams, including documentation, processes, and tooling
• Assist internal stakeholders with ad-hoc data questions, process improvements, and platform-related enhancements

Data Governance Engineer

Product Designer

• Raise the bar for the industry by creating visually rich, forward-thinking designs that elevate Kraken’s brand and set new benchmarks for excellence.
• Shape and evolve Kraken’s visual language, strengthening our design system and overall brand expression.
• Craft exceptional user experiences by collaborating closely with other designers, product managers, and engineers.
• Influence stakeholders to uphold the highest standards of design quality and user experience.
• Own your work fully, taking accountability for design quality, outcomes, and measurable results.
• Stay ahead of emerging trends, using customer insights to refine and advance our design direction.
• Contribute actively to design reviews, both seeking and offering constructive, supportive feedback that helps raise team-wide standards.

Senior Product Designer – Consumer

• Play a crucial role in shaping the future of Kraken in the Crypto space
• Take ownership of complex design challenges and spearhead design and delivery
• Create visually rich, forward-thinking designs
• Shape and evolve Kraken’s visual language
• Craft exceptional user experiences by collaborating closely with others
• Influence stakeholders to uphold the highest standards of design quality
• Own your work fully, taking accountability for design quality and outcomes
• Stay ahead of emerging trends using customer insights