Member of Technical Staff, Trading (Derivatives)

Anchorage Digital

6d•Onsite

About The Position

You will be implementing front office and back office trading systems that are used by institutional investors around the world on a daily basis to trade, invest and exchange cryptocurrency assets. The crypto industry is one of the most exciting industries in tech today, and it is constantly changing! At Anchorage Digital, we are building foundational technology to help the crypto industry evolve in a safe, regulated and highly secure manner, which we believe is essential for maximizing the potential of this exciting industry. We think about growth and career development differently at Anchorage Digital. We define performance as acquiring, possessing, and practicing a relevant set of skills and competencies - and the ability to apply them effectively and consistently. We have created the Factors of Growth & Impact to help Anchorage Digital â€œVillagersâ€ better measure impact and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Front End Software Engineering role. You will be coached, mentored and guided to grow your capabilities in 4 major areas: Technical Skills, Complexity and Impact of Work, Organizational Knowledge, and Communication and Influence.

Requirements

Have 3+ years of professional experience with Go.
Have experience with modern software development practices, including automated unit, integration and end to end testing, cloud development, database design and interaction using MySQL or PostgreSQL and experience using Git.
Have knowledge of financial asset trading systems and understanding of several (not all) of the following topics: Order Execution Management Systems (OEMS), FIX protocol, market data, low latency application architectures and messaging, matching engines, FX trading, OTC, derivatives, position/risk management, cryptocurrency trading, trading back office systems.
Have real world experience building financial trading systems.
Are passionate about good software engineering design and implementation practices (e.g. TDD, SOLID, refactoring, etc).
Genuinely care about code quality and test infrastructure.
Believe software engineering is a team activity and enjoy collaborating every single day, learning from and mentoring others.

Nice To Haves

Have GraphQL API design and implementation experience
Have gRPC API design and implementation experience
Have a background in the finance industry
Have experience working with digital asset (i.e. cryptocurrency) trading

Responsibilities

Participate in task breakdown, estimation, design, implementation and maintenance of trading systems
Use your knowledge of the trading system domain to influence the technical direction of the Brokerage team. Advocate for improved processes or technology when appropriate.
Dive deep into complex, ambiguous problems, formulate elegant and practical solutions
Review other developerâ€™s code to ensure consistency, reduce errors and share context across the Brokerage engineering team
Drive iterative system improvement by implementing robust instrumentation and metric collection.
Able to work either independently or as a lead engineer on a team to deliver features
Capable of breaking down large projects into smaller tasks, and accurately estimating the time and scope of projects. Articulate effectively the different options considered, analyze trade-offs, justify and recommend priorities.
Ensure that knowledge is shared across the team and does not position themselves or others as a single point of failure.
Collaborate cross-functionally with the Brokerage team and other teams at Anchorage Digital
Mentor and guide multiple engineers on the team within your area of specialization or domain, and help others understand the strategic goals of the Brokerage team and how your work relates to these
Understands others' context or underlying needs, motivations, emotions or concerns and adjusts communication to ensure maximum impact and effectiveness