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, gstreamer, FCR, FFmpeg
- 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 salary and 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!
Similar Jobs
Productivity • Software • App development • Automation
The Account Executive will manage software sales, qualify leads, close deals, and collaborate with technical teams to propose solutions.
Top Skills:
Outreach DoolySales NavigatorSalesforce CRMZoominfo
Artificial Intelligence • Productivity • Software • Automation
As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.
Top Skills:
Cloud InfrastructureLlm OpsMl OpsPythonTypescript
.jpg)
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.
Top Skills:
AWSAzureCi/CdClaudeContainerizationCopilotCrewaiCursorDigital Asset ManagementDrupalEmbedding ModelsGCPHermes AgentLangchainLangfuseLanggraphLlamaindexLlm Fine-TuningOpenclawOpencodeOpenspecPydanticPythonRagTemporalVector Databases
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
