Do you want to develop more than just a product?

Then Jobber might be the place for you! We’re looking for an Intermediate Software Engineer  to be part of our Data and Streaming team

At Jobber, we don’t just build a product - we work on real problems that help people in small businesses to become successful. We are inspired by our company values: be humble, be supportive and give a shit, which are not just said but are lived. We work in a collaborative environment where teams make decisions with autonomy and contribute directly to shaping the company’s future. We release early and often while dedicating time to addressing technical debt. We believe in getting instant feedback from our customers and leveraging that to make their lives easier.

We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons, and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allow for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build a healthy work-life harmony. Bring your dedication and passion to this job to fulfill your goals. 

The Team:

You will join the Data and Streaming team, a specialized systems team responsible for all Jobber data services, including real-time streaming and data at rest. The team owns the full DevOps data stack, supporting all Stream-Aligned teams by offering centralized expertise in databases, streaming frameworks, data stores, and more. We optimize the data lifecycle to enhance performance, scalability, and security.

The Role:

Reporting to the Manager, Data and Streaming, the Intermediate Software Engineer will collaborate with other Software Development team members to build scalable data solutions that support the Jobber application. This role is essential to enabling real-time data streaming, managing large-scale data infrastructure, and helping other teams with their data-related needs.

As an Intermediate Software Engineer, you will:

• Be involved in the full lifecycle of data-related features, from ideation to delivery, ensuring reliability, scalability, and security.
• Build and maintain real-time streaming systems, data pipelines, databases, and related infrastructure, ensuring performance and observability.
• Provide data services and consultation to Stream-Aligned teams, assisting them with complex data problems and enabling them to focus on business needs.
• Participate in code reviews and testing, driving best practices for data engineering and software development within the team.
• Work closely with cross-functional teams to determine optimal solutions for scaling, optimizing, and securing data systems.
• Research and advocate for emerging technologies and innovations in the data space, ensuring Jobber’s data ecosystem remains cutting-edge.

To be successful, you should have:

• Knowledge of relational and NoSQL databases (e.g., Aurora Postgres, Elasticsearch).
• Experience with real-time data streaming frameworks (Kafka, RabbitMQ, or similar).
• Some expertise in managing cloud-based data services (AWS S3, Redis).
• Proficiency in DevOps practices related to data infrastructure, including observability, disaster recovery, and scaling.
• Familiarity with background processing frameworks (Sidekiq, Active Jobs) and data lifecycle management.
• Experience optimizing database performance, partitioning large datasets, and ensuring data security (handling PII).

It would be really great (but not a deal-breaker) if you had:

• Experience with scaling data pipelines and managing large-scale data systems.
• Knowledge of database partitioning and optimizing search technologies.
• Hands-on experience in cleaning up redundant data systems 
• Expertise in implementing disaster recovery solutions for critical data systems.