Flowhub · 6 hours ago
Senior Data & Reliability Engineer
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Business IntelligenceCannabis
Work & Life Balance
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Responsibilities
Design and implement efficient data flows across Flowhub’s systems, ensuring data accuracy, consistency, and high performance for both internal and external users.
Partner with product managers, stakeholders, and the engineering team to improve application performance and reliability, particularly where the app meets the database layer.
Work closely with PostgreSQL and ClickHouse databases in GCP, identifying optimization opportunities and implementing data-driven performance improvements.
Implement data alerting systems to give a heads up for data drift, inaccuracies, and anomalies that need detection and corrective action.
Act as a subject matter expert on performance tuning and reliability practices, guiding other engineers and performing code and database schema reviews.
Enhance Flowhub’s observability tools to ensure smooth and responsive system performance, continuously monitoring and addressing latency and reliability issues.
Mentor and support teammates, sharing best practices in data movement, query optimization, and performance optimization across Flowhub’s engineering department.
Qualification
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Required
A self-driven, performance-oriented problem solver with a talent for identifying and optimizing technical bottlenecks, especially at the intersection of software and the data layer.
Eat, sleep, and brush your teeth with data systems, especially PostgreSQL and ClickHouse. You know that indexing isn’t just for libraries, vacuuming isn’t just for carpets, and archiving isn’t just for museums.
A collaborative team player who communicates complex technical topics effectively with stakeholders, product managers, and teammates.
Agile and pragmatic, comfortable iterating on solutions without over-engineering.
Proficient in technologies like React.js, Golang, GraphQL, and/or Python. Excited to learn any technologies that you haven’t had exposure to before.
Experienced with leveraging observability tooling to quickly find and resolve any performance issues even during severe/critical issue moments.
Excited about being a pioneer in the cannabis industry.
Design and implement efficient data flows across Flowhub’s systems, ensuring data accuracy, consistency, and high performance for both internal and external users.
Partner with product managers, stakeholders, and the engineering team to improve application performance and reliability, particularly where the app meets the database layer.
Work closely with PostgreSQL and ClickHouse databases in GCP, identifying optimization opportunities and implementing data-driven performance improvements.
Implement data alerting systems to give a heads up for data drift, inaccuracies, and anomalies that need detection and corrective action.
Act as a subject matter expert on performance tuning and reliability practices, guiding other engineers and performing code and database schema reviews.
Enhance Flowhub’s observability tools to ensure smooth and responsive system performance, continuously monitoring and addressing latency and reliability issues.
Mentor and support teammates, sharing best practices in data movement, query optimization, and performance optimization across Flowhub’s engineering department.
Preferred
Proven experience with performance tuning, data engineering, and/or reliability engineering within complex, high-traffic applications.
Strong background in relational databases (PostgreSQL preferred) and familiarity with query optimization and schema design best practices.
Experience in cloud environments, ideally Google Cloud Platform, with a solid understanding of scaling and managing data infrastructure.
Familiarity with frontend and backend performance best practices, with a focus on seamless interaction between services and databases.
Benefits
Medical
Dental
Vision
Life
Disability insurance
401(k) retirement plan
Paid holidays
Unlimited paid time off
Other benefits
Company
Flowhub
Flowhub is a cannabis retail management platform for modern dispensaries.