Our FinTech client seeks an exceptional Software Engineering Manager, to own their Data Pipeline team. You will lead a team that builds the services enabling data to flow flawlessly from a multitude of digital and traditional financial venues and platforms.
Our client offers a robust compensation package-top-tier salary, generous bonus, substantial equity, comprehensive benefits, and five weeks PTO.
Ideally, this person will work in a hybrid capacity, accessible to work onsite 1-2 days a week in an office in NYC, Chicago, Greenwich CT, or Palo Alto CA. Remote is a potential for someone exceptional.
Key Responsibilities:
Lead with passion and drive:
recruit, mentor, and grow an engineering team, ensuring seamless integration of data from diverse financial platforms.
Revolutionize how we identify and resolve issues:
Lead the team in monitoring the data collection processes, intervene when bugs occur; and coach the team to embrace automation.
Establish clear project roadmaps:
Collaborate actively with stakeholders-balancing strategic vision and meticulous attention to detail for every project.
Guarantee excellence:
Uphold an uncompromising standard of technical excellence, quality processes, and operational efficiency. You'll also manage PR reviews with respect to SLA/SLO.
Nurture your team:
Enhance the communication, performance, and skills within your team.
Hands-on commitment:
Here, everyone dives into the code at times-even our CTO.
Ideal Candidate:
Seasoned Expert:
You have 8+ years of software development experience in Python or a relevant language and 2+ years of managerial experience in software engineering.
Cloud specialist:
You're comfortable deploying code to the AWS cloud and its ecosystem.
Data authority:
An unwavering grasp of data structures, Data Integration, algorithms, REST APIs, and FIX protocol.
Strong communicator and leader:
Proven ability to lead and foster quality code and process development, with excellent stakeholder communication.
Capital Markets:
Experience with high-growth financial firms, trading technology, and digital assets, coupled with a solid understanding of data governance within trading
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