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Salary
$90k – $225k per year (Estimated)
Location
Remote (Canada)
Employment
Full-Time
Overview
Company
Impact
Profile match
DataVisor delivers a powerful fraud and risk management platform that enables organizations to respond to fraud attacks in real time.

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

What You Will Be Doing:

  • Scrum master: Be able to manage and drive end-to-end sprint process for various engineering teams, facilitate product managers and engineering managers to conduct sprint planning, clarify requirements and prioritize tasks, drive team stand-up, monitor development progress, coordinate cross-team collaborations, organize QA testing and drive bug resolution; Work with stakeholders to deliver product new features and improvements on time and in high quality
  • Engineering operation metrics runner: Own and run metrics for the entire engineering team to monitor team and individual's development productivity and support efficiency. Deliver and analyze the metric every sprint and drive the improvement initiatives
  • QA testing coordinator: Coordinate QA efforts for engineering developments and bug fixing in order to meet the system release schedule
  • System release scope controller: Per engineers' development progress and product managers' demands, keep track control the system release scope for both quarterly main release and ad-hoc hot fixes. Become the go-to person of what will be released, and more importantly, drive engineers to line up with the release schedule, manage code cherry-picks, manage different code branches
  • Drive cross-team special engineering projects
  • System release facilitator and organizer: Own system release process, organize and oversee each system release activities with hands-on leadership. Manage the engineering war room and customer service team communications. Effectively anticipate and plan for risks and contingencies, proactively documenting and communicating them to stakeholders
  • Drive the incident response process, handling communications and postmortems to mitigate similar problems in the future
  • Facilitate and participate in regular status meetings to capture meeting minutes, drive follow-ups and prepare status reports for senior leadership

Requirements

  • Bachelor’s degree in Computer Science or STEM discipline or experience in software environment
  • Hands-on technical system operation experiences
  • Hands-on enterprise cloud software experiences
  • Experience with good understanding of agile software development methodology, e.g. Scrum. Good experience with Jira at the administrator level
  • Ability to break down complex projects and requirements into trackable milestones
  • Ability to work with technical and non-technical stakeholders at all levels within an organization
  • Exceptional verbal and written communication skills
  • Obsession with process, deadlines and accountability
  • Resourceful, detailed-oriented, self-motivated and proactive mentality

Bonus Points

  • Background in machine learning or data science
  • Familiarity with cloud services (AWS etc.) and/or big data infrastructure
  • Skills and knowledge of facilitation, situational awareness, conflict resolution, continual improvement, and transparency

Benefits

  • Work remotely, PTO, Health Benefits, Retirement Plan.
  • Salary Range: CAD 100K to 150K
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