Software Engineer, Backend

Who you'll be joining: 

The ecobee Smart Security service, launched in 2020 to rave reviews, is the intelligent solution that protects home and families.  Our system uses machine learning and advanced sensor technology to protect our customers most precious asset – their home.  This is just the beginning!  We’re embarking on a journey to combine our Energy and Security products to create industry leading, world class features to create safer and greener homes. Join us to help make ecobee the best eco-friendly smart security product on the planet. 

Working as part of our Smart Security Camera team, you’ll play a pivotal role within our UK-based engineering function, both delivering knockout features and maintaining existing systems and platforms. You’ll be working across a large part of the Camera tech stack, from cloud services written primarily in Python to on-device code implemented in Golang (although it’d be great if you had experience here, we’re also welcome to hearing from candidates who are eager to learn on the job). Some of the highlights of things you’ll be involved with include building cutting-edge AI-driven algorithms for object detection and designing power-optimized algorithms for our next-gen devices. 

The engineering teams believe strongly in operational excellence – taking ownership of the services and systems they build right through to production. From monitoring, troubleshooting and optimizing the services running in GCP to analysing real-time fleet metrics from tens of thousands of real-world home security devices. 

 As part of a large, globally distributed engineering function you’ll have regular opportunity to interface with teams working on other parts of the ecobee product range – from subscription services to energy products and mobile apps.  

You’ll benefit from regular learning days (with lots of smart people around to inspire your upskilling choices!), a dedicated learning and development budget, an annual (optional) trip to Toronto for our TechConnect conference, as well as other opportunities for growth and development! 

Technologies we use:    

• Golang, Python  
• Apollo GraphQL    
• GitHub Actions (CI/CD), CircleCI    
• Google Cloud, GKE, CloudSQL, PubSub, Cloud Run, DataStore, BigQuery, Dataflow, etc.   
• Terraform

How you’ll make an impact:

• Deliver robust software as cloud services in GCP and on distributed IoT devices 
• Work with best practice – help keep our engineering standard high 
• Helpmentor more junior engineers, supporting their journey to becoming superstar individual contributors 
• Contribute to key architectural design decisions for our next generation devices

What you bring to the table:

We've built the below list as a guideline for some of the skills and interests of our development team - but we strive to build our team with members from a diverse background and skill set, so if any combination of these apply to you, we'd love to chat! 

• Familiarity with crafting production code in object-oriented Python. Experience in Golang would be nice, or a strong desire to learn it on the job 
• Excellent ability to balance technical excellence with getting stuff done – you’re not fazed by pressure to deliver and know when and where tradeoffs should be made (and when they shouldn’t) 
• A great team player and proactive communicator – being part of a large engineering function, you’ll regularly be working with peers in other teams 
• Strong experience with GCP, AWS or Azure 
• You enjoy finding better and faster way to solve complex problems, even if it means challenging the status quo 
• You love to be challenged and are fearless in diving into issues with a high degree of uncertainty attached in areas such as scale, redundancy, performance optimisation and concurrency 
• Embrace running a production environment as well as building it. You’ll be responsible for getting your code live and monitoring the services that you (and others) have created, responding to incidents, and generally making sure the team builds software that is robust, resilient and observable

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:

• Round 1: A 30-minute phone call with a member of Talent Acquisition
• Round 2: A 45-minute virtual interview with the Hiring Manager and a member of the team
• Round 3: A 90-minute technical deep dive interview with the team (2 engineers) on a take home task we'll provide 1 week in advance of your interview