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AI

Senior Software Engineering Manager Data Services

Ripple · ON Toronto, Ontario, Canada · $27k - $60k

Actively hiring Posted over 3 years ago

Role overview

Ripple is looking for an engineering leader to help manage and guide the Data Infrastructure team to drive the company building scalable and self-serve Data infrastructure. As the Senior Software Engineering Manager, you will lead the effort to enable Ripple to democratize data by developing a self-serving data infrastructure.

What we're looking for


  • Manage and mentor a team of engineers responsible for designing, building, and operating our ever-growing data infrastructure

  • Establish team objectives in alignment with business goals

  • Work closely with engineering leaders to identify bottlenecks in our existing data infrastructure and guide the team in improving and scaling it; ensure that technical decisions support our quality, performance, scalability, reliability, availability, and security goals

  • Support our analytics, data science, and ML teams

  • Build systems and services that abstract the engines and will allow the users to focus on business and application logic via higher-level programming models

  • Improve and maintain data pipelines and tools to keep pace with the growth of our data and its consumers

  • Identify and analyze requirements and use cases from multiple internal teams (including finance, compliance, analytics, data science, and engineering, ML); work with other technical leads to design solutions for the requirements.

  • Mentor and guide the professional and technical development of your team; develop their careers by assigning them to projects tailored to their skills, personalities, work styles, and goals

  • Instill a spirit of continuous improvement in the team’s code, architecture, and processes

  • Work with your team and customers to sketch out the company’s vision for a data services architecture


  • 10+ years of software infrastructure experience

  • 3+ years as a people leader and a technical leader

  • Deep experience with distributed systems, distributed data stores, data pipelines, and other tools in cloud services environments (e.g. AWS, GCP)

  • Experience with building and managing API and Inbound data infrastructure for data Ingestion into the data lake

  • A strong advocate of data governance and data quality

  • Experience with big data tech stack Hadoop, Spark, Hudi, etc.

  • Ability to make build versus buy decisions 

  • Experience with distributed event streaming platforms like Kafka, Flink, etc.

  • Experience with database internals, database language theories, database design, SQL and database programming

  • You have a passion for building and motivating teams to reach their potential

  • You are a strong partner to other engineering and non-engineering teams and can drive cross-functional projects forward

  • You have experience building internal infrastructure that is shared across teams

  • Solid leadership and communication skills


  • Experience with AWS or Google cloud ecosystems

  • Experience in building self-service data services

  • Crypto domain experience or interest

  • Familiarity with Kubernetes

WHAT WE OFFER:


  • The chance to work in a fast-paced startup environment with experienced industry leaders

  • A learning environment where you can dive deep into the latest technologies and make an impact

  • Competitive salary and equity

  • 100% paid medical and dental and 95% paid vision insurance for employees starting on your first day

  • 401k (with match), commuter benefits

  • Industry-leading parental leave policies

  • Generous wellness reimbursement and weekly onsite programs

  • Flexible vacation policy - work with your manager to take time off when you need it

  • Employee giving match

  • Modern office in San Francisco’s Financial District

  • Fully-stocked kitchen with organic snacks, beverages, and coffee drinks

  • Weekly company meeting - ask me anything style discussion with our Leadership Team

  • Team outings to sports games, happy hours, game nights and more!

Tags & focus areas

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Engineering Manager Gcp Gaming Kubernetes Aws Spark