Senior Software Engineer, Data Systems

Hive
Canada
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 8+ yearsSkills: ["Independent problem-solving","Troubleshooting","Stakeholder communication","Iteration","Ownership"]

Build and evolve Hive’s cloud-native data platform that powers audience data at massive scale, from reliable pipelines and data products (including a production API) to production-grade ML infrastructure. Own end-to-end systems design and operations—feature stores, training pipelines, serving, monitoring, and observability—while connecting data and pipeline health to customer outcomes. Work with Python/Django and modern data tooling to ship low-latency, high-throughput services.

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FursaFursa
Hive
Hive
1 day ago

Senior Software Engineer, Data Systems

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build and evolve Hive’s cloud-native data platform that powers audience data at massive scale, from reliable pipelines and data products (including a production API) to production-grade ML infrastructure. Own end-to-end systems design and operations—feature stores, training pipelines, serving, monitoring, and observability—while connecting data and pipeline health to customer outcomes. Work with Python/Django and modern data tooling to ship low-latency, high-throughput services.
Location: Canada
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and own a cloud-native big data platform for audience data and large-scale event streams, focusing on infrastructure that determines insight and decision quality.
  • •Design and operate an ML platform from experiment to production, including feature stores, training pipelines, model serving, and monitoring/observability.
  • •Own the full data pipeline end to end (CDC, validation, transformation, denormalization) and ensure business impact when data breaks or metrics drift.
  • •Treat data as a product by defining SLAs, obsessing over data health, and enabling discoverability for internal teams and customers.
  • •Build agentic, LLM-powered pipelines and autonomous systems to enrich, classify, and act on audience data at scale.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalParental LeavePaid LeaveRemote Work

Key Requirements

  • •8+ years of hands-on data engineering experience designing, building, and operating large-scale distributed data and ML systems in production.
  • •Core ML foundations including supervised/unsupervised methods, evaluation metrics, and common algorithms (regression, tree ensembles, clustering).
  • •Feature engineering with Python ML tooling such as pandas and scikit-learn, with familiarity with PyTorch or TensorFlow.
  • •Experience with production ML pipelines and feature datasets for training and inference.
  • •MLOps practices including experiment tracking, model versioning/registry, deployment, and monitoring for drift/data quality.
Experience:8+ yearsEvent-driven productsSaaS
Skills:Independent problem-solvingTroubleshootingStakeholder communicationIterationOwnership
Tech Stack:PythonDjangoClickhouseMySQLMongoDBElasticSearchRedshiftAirflowDagsterPandasScikit-learnPyTorchTensorFlowClaude CodeLLMs

Company Brief

Hive
Provides a marketing automation platform (email, SMS, CRM, ads) tailored to event promoters and ticketing partners to drive ticket sales and audience engagement through data-driven campaigns and automation.
Industry: Events & Live Entertainment
Company Size: Medium (51 to 250 employees)
Revenue: USD 1M to 5M
Headquarters: Kitchener, Canada
Founded: 2014
Glassdoor
Glassdoor: 3.5
WebsiteLinkedInGlassdoor