Build and operate low-latency, secure cloud and edge systems for real-time video streaming, AI analysis, and remote control of industrial devices. Ensure reliability, testing, deployment, and work closely with hardware and ML teams.
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
The role
We are looking for a Senior Backend Engineer to build and operate the systems that enable real-time video streaming, AI analysis, and secure remote control of industrial machinery. You will work on cloud and edge-connected systems that interact with physical devices, where reliability, security, and low-latency communication are critical.
Required Qualifications
- 5+ years of backend development experience in Python or Go
- 5+ years experience with cloud infrastructure, containerization, and deployment (AWS, Docker)
- Knowledge of video codec, streaming protocol, WebRTC, FFmpeg, gstreamer
- Strong software engineering skills; knowledge of best practices, testing, and deployment
Bonus Qualifications
- Experience designing and operating distributed systems
- Strong data analytics & modeling & ML skills
- Experience in managing IoT devices
Benefits
- Competitive salaries and generous equity
- Unlimited vacation policy
- Flexible working hours + hybrid work policy
- Medical, vision, & dental insurance
- Retirement matching plan
- Potential travel to Norway
- Evolve in a fast-paced environment
- Be able to shape a business in its early days
- Get ideas, feedback, and suggestions from other best-in-their-field colleagues
- Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible!
Top Skills
AWS
Containerization
Docker
Ffmpeg
Go
Gstreamer
Python
Streaming Protocols
Video Codecs
Webrtc
Similar Jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Own and deliver high-availability, low-latency Trust & Safety systems across backend, web, and mobile. Lead engineering delivery, collaborate with product/design/analytics, improve operational metrics and on-call reliability, set code and design standards, and mentor teammates.
Top Skills:
AWSKotlinKubernetesMySQLPythonReactVue
Big Data • Fintech • Mobile • Payments • Financial Services
The role involves developing and launching backend systems on the Credit Decisioning team, collaborating with cross-functional partners, and ensuring the operations of team artifacts. The engineer will also engage with coding standards, metrics monitoring, and community building activities.
Top Skills:
AWSKotlinKubernetesMySQLPython
Big Data • Fintech • Mobile • Payments • Financial Services
Lead the Business Systems team to optimize Salesforce systems, manage technical strategies, and ensure seamless integration with core systems, improving workflows and compliance in a fintech environment.
Top Skills:
Amazon ConnectApexBuildkiteGitJIRALightningNotionSalesforceSnowflakeSQL
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
