Senior Software Engineer, Jobber
Data & Machine Learning Platform
CA$125.8-170.1k
+ Equity
1+ day a week in office
Job tracking and customer management software for home service businesses
Be an early applicant
Job tracking and customer management software for home service businesses
1001+ employees
Be an early applicant
CA$125.8-170.1k
+ Equity
1+ day a week in office
1001+ employees
Company mission
To help home service professionals around the world win.
Role
Who you are
- Designing and building scalable, reliable distributed systems in a cloud environment (AWS or equivalent)
- Strong understanding of system design trade-offs, including scalability, fault tolerance, performance optimization, and cost efficiency
- **Nice to have: experience designing or evolving data and platform systems such as lakehouse architectures, data warehouses, and orchestration platforms (e.g., Iceberg-based lakehouses, Redshift, Snowflake, Airflow, AWS Glue)
- Strong proficiency in backend development using Python, with experience building production-grade services and APIs
- Experience designing and maintaining APIs and internal services that support data workflows; Ability to write clean, maintainable, and well-tested code that supports long-lived platform capabilities
- **Nice to have: familiarity with ML workflows and model deployment patterns, but deep ML expertise is not required
- Solid experience working with SQL and large-scale data processing systems, including data warehouses and lakehouse-style platforms
- Hands-on experience with data transformation and analytics tooling—not limited to dbt, Pandas, Polars, or similar frameworks used for data modeling, transformation, and analysis
- *Experience building and operating data pipelines, including CDC systems (e.g., AWS DMS or similar) and batch or streaming workflows
- *Familiarity with data quality practices such as schema enforcement, deduplication, and anomaly detection
- ** Nice to have: experience with streaming platforms (Kafka, Kinesis) or emerging data technologies such as vector databases
- Experience building and maintaining CI/CD pipelines to test, deploy, and operate backend, data, and platform systems
- Familiarity with containerization and deployment workflows using tools such as Docker and cloud-native services
- *Strong operational mindset, including monitoring, alerting, incident response, and continuous improvement of developer workflows
- Strong communication skills with the ability to work effectively across Product, Engineering, and ML teams
- Experience partnering with stakeholders to translate requirements into well-designed technical solutions
- *Ability to document systems, share best practices, and contribute to a culture of operational excellence and continuous learning
What the job involves
- The Software Engineer, Data & ML Platform role sits at the intersection of software engineering, platform reliability, and data enablement, and is critical to how teams across Jobber build, ship, and scale
- As a Senior Software Engineer on the Data & ML Platform team, you will take end-to-end ownership of data and machine learning platform capabilities—from design and implementation through operation and continuous improvement
- You’ll apply strong backend and systems engineering skills to build durable, scalable platforms that enable data and machine learning use cases across the company
- Build scalable platforms, frameworks, and self-service tooling that enable engineers, analysts, and data scientists to work effectively with data and machine learning. Partner closely with Product, Engineering, and ML teams to understand their needs and translate them into intuitive, well-documented capabilities that improve developer experience and reduce friction
- Design, operate, and evolve core platform systems—including compute platforms, job orchestration engines, CI/CD workflows, and production ML infrastructure—with a focus on performance, scalability, and cost efficiency. Continuously improve automation and operational practices to reduce toil and enable teams to move faster with confidence
- Apply strong software engineering fundamentals to build new platform capabilities that unlock faster experimentation, safer deployments, and more scalable data and ML use cases. Contribute to long-term technical direction by identifying gaps, proposing improvements, and evolving the platform to support Jobber’s growth and future ambitions
- Collaborate with upstream and downstream teams to ensure high-quality data flows through the platform, including reliable ingestion, schema enforcement, and foundational transformations. Establish standards and guardrails that promote data integrity, consistency, and trust while enabling teams to build on top of the platform without duplicating effort
- Team members participate in a one-week on-call rotation to support the reliability of our data and ML platforms that may include off business hours support. Incidents outside regular working hours are compensated with time off in lieu to support a healthy balance. Occasionally, planned maintenance or major changes may require weekend on-call coverage, with a strong focus on preparation and minimizing disruption
Our take
For businesses that sell home services, it can be difficult keeping up with paperwork, scheduling appointments, and chasing payments, especially when their teams are small. Jobber delivers a comprehensive toolbox to keep track of all these aspects, so that small business owners can concentrate on more important things like serving their customers and building their brand.
Jobber was founded in 2011, initially to help a friend who owned a small painting business. The founders quickly discovered that what they were building could help many more owners across a number of industries, going on to launch the product which is now used by over 300,000 home service professionals in over 60 countries.
What makes Jobber stand out is that it collects all the vital parts of running a home services business into one place, removing the burden of keeping track of multiple sources of information. The company has seen significant funding which it has invested in R&D and growing its customer base, and boasts four consecutive years on The Globe and Mail's Canada's Top Growing Companies List.
Steph
Company Specialist at Welcome to the Jungle
Insights
15% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jan 2023
$100m
SERIES D
Jan 2021
$60m
GROWTH EQUITY VC
Total funding: $185.8m
Company HQ
Downtown, Edmonton, AB
Leadership
Sam Pillar
(Co-Founder & CEO)Prior to co-founding Jobber in 2011, Sam was a Freelance Software Developer at Cardboard Creative and a Business Analyst/Management Consultant at CGI.
Forrest Zeisler
(Co-Founder & CTO)Experienced Developer, with a degree in Engineering from the University of Alberta.
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