Who'll You Be Joining:

The Energy Services team's vision is for thoughtful homes to work together for 100% clean and affordable energy. Our team is entirely focused on planet positivity, and you will be a key contributor in bringing that vision to life. eco+ has already helped millions of users use cleaner and cheaper energy and is growing fast to keep energy costs low for more homeowners across North America.

The eco+ product is used by more than 70 utility partners and is revolutionizing how the grid responds to peak demand, thanks to Machine Learning models that optimize comfort and energy savings for customers. At the heart of this is the Energy Control Platform (ECP), ecobee's API platform that enables utility partners to create and manage demand response and grid resiliency programs, dispatch events to enrolled smart thermostats, and manage thermostat groups at scale.

You would be joining as a member on a small but growing team, helping shape a culture that empowers the team to make great technical decisions, drive strategic choices, actively improve on our processes and mentor others.

You will work closely with Product and other engineering teams to shape the roadmap and consistently improve the platform, with occasional collaboration with marketing and sales partners.

The Energy Services team is highly data driven an is consistently focused on improving our culture and processes. You'll benefit from monthly learning days, regular guest speakers from the energy industry, strategic offsites, as well as other opportunities for growth and development!

This role follows a hybrid schedule, with in-office work required on Wednesdays and Thursdays to support collaboration, and flexibility to work remotely for the remainder of the week.

How You'll Make an Impact:

As a Senior Backend Engineer, you'll:

• Design, build, and evolve high-load, highly concurrent backend services that directly support ecobee's products and business goals, including the Energy Control Platform (ECP), ecobee's API platform that powers demand response and grid resiliency programs for utility partners.
• Use modern technologies to solve complex technical challenges at scale, with the flexibility to evaluate and adopt new tools when they meaningfully improve outcomes.
• Contribute to and help shape ecobee's engineering culture by sharing knowledge, learning from peers, and applying thoughtful engineering practices.
• Influence technical direction and decision-making, with your ideas and contributions having a measurable impact on the company's systems and objectives.

What You'll Bring to the Table:

• You have strong Go experience and are comfortable designing, implementing, and debugging microservices on Google Cloud Platform and/or AWS, along with both NoSQL and relational databases.
• You leverage AI assisted development to move faster, improve quality and navigate unfamiliar codebase.
• You continuously challenge yourself and the status quo, seeking better ways to solve complex problems. Systems design and architecture are areas where you're comfortable and confident.
• You value the craft of software development and actively practice automated testing, CI/CD, and sound design patterns.
• You understand the full lifecycle of getting code to production, from review and merge through deployment in the cloud or a data center, and can identify opportunities to improve reliability and delivery.
• You're open to learning new technologies when it helps you deliver solutions more effectively.
• You thrive on large, complex challenges and are comfortable working with issues of scale, concurrency, large data sets, security, redundancy, and failover, all key considerations for a successful IoT platform.
• We also use Java, Python, and JavaScript, and value choosing the right tool for the job.
• You care deeply about system stability and customer experience, which includes working with metrics, participating in a healthy on-call rotation, and building robust, resilient systems.
• You prioritize the team by providing mentorship, support, and guidance, while helping focus efforts on the highest-impact work and supporting overall team well-being.

AI-Assisted Development Expectations

• Hands-on experience using AI tools (e.g., Claude, Copilot, or similar) in real development workflows
• Ability to validate AI output through testing, code review, and incremental rollout - understanding what was generated and why, not just whether it runs
• Interest in turning AI usage into repeatable team leverage, not just personal productivity

Just so you know: The hired candidate will be required to complete a background check

What happens after you apply:

Application review. It will happen. By an actual person in Talent Acquisition. As we sometimes get upwards of 100+ applications for some roles, it can take a few days, but every applicant can expect a note regarding their application status.

Interview Process:

• A 30-minute phone/video call with a member of Talent Acquisition
• A 1-hour virtual interview with the Hiring Manager: expect technical, behavioural, and situational questions.
• The technical interview: This will be a two-hour virtual interview where you will meet folks from the team. Expect coding exercises and a system design exercise.

Generac is committed to fair and equitable compensation practices. The salary range for this role based in Toronto, ON is $134,200 - $174,500 CAD. This compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications and geographic location. This role is eligible for variable compensation including short term and long-term incentives.

This position includes a comprehensive benefit package that includes medical, dental and vision plans; life, long-term disability, flexible spending and health savings accounts, accrued paid time off, paid Holidays (10 for Ontario, 11 for British Columbia) and RRSP retirement benefits