Parallelz Logo

Parallelz

Software Engineer

Posted 14 Days Ago
Be an Early Applicant
In-Office
Toronto, ON, CAN
Junior
In-Office
Toronto, ON, CAN
Junior
As a Software Engineer at Parallelz, you will own features from concept to production, design AI-first systems, and operate backend services and cloud infrastructure while collaborating with the platform team.
The summary above was generated by AI

Parallelz is building a novel technology platform that enables new ways of delivering, discovering, and extending mobile applications, in ways that were never thought possible. We allow developers to transform existing mobile apps into web-native apps that can run anywhere, all without a walled garden app store, and without any modifications to their code.

Parallelz is an AI-native company. We are not a team that experiments with AI on the side. AI tools and agentic systems are how we design, build, debug, review, ship, and operate. We are actively rethinking how engineering teams work in a world where every engineer is paired with capable agents, and we are building that culture from the ground floor.

You will be getting in at a pivotal stage, contributing to the technical roadmap, helping shape an AI-first engineering culture, and working in a small, flat organization to evolve our R&D initiatives into a live, scaled operational platform that will have an impact across the industry.

Our founding team and advisors are serial entrepreneurs and technologists from Google, Mozilla, MIT Media Labs, and other top organizations. The company is backed by top-tier global venture funds and angel investors.

About the Role

We are looking for a versatile Software Engineer to join our platform team, working directly alongside our Platform Lead. You are a strong all-around engineer who has spent the last few years operating across backend services and infrastructure, and who can take an idea from concept to a fully deployed, production-ready application. You have done time in both larger engineering organizations and earlier-stage startups, and you bring the discipline of one with the velocity of the other.

You see AI and agentic systems as a force multiplier on judgment, velocity, and quality, and you are looking for a team that takes that seriously. You want to drive change rather than wait for direction, and you are energized by the chance to help define what an AI-first platform team looks like in practice.

What You'll Do

Own features end-to-end, from idea through design, implementation, deployment, and operation, leveraging agentic workflows to compress the path from concept to production.

  • Build and operate backend services and the cloud infrastructure they run on, fluent across the application and platform layers.
  • Stand up and maintain deployment paths on cloud infrastructure, with or without leaning on managed services, and shape the networking, load balancing, and connective tissue between services.
  • Design AI-first systems and developer workflows, embedding agents, LLM tooling, and automation into how the platform team architects, ships, and operates.
  • Partner with the Platform Lead to identify pain points across engineering and ship platform improvements that compound over time.
  • Work natively with AI coding agents and tooling (Claude Code, Cursor, agentic workflows, custom internal agents) to accelerate research, prototyping, code generation, debugging, and review, treating these tools as a junior pair you direct and verify, not a passenger.

Requirements

This is a hands-on engineering role for someone who wants to operate broadly across the stack, take real ownership, and help define what AI-first platform engineering looks like at Parallelz.

Must-Haves
  • 2+ years of professional software engineering experience across large organizations or earlier-stage startups, with demonstrated range across backend development and infrastructure, and a track record of taking ideas from concept to fully deployed applications.
  • Hands-on experience with at least one major cloud provider, including the ability to deploy and operate applications with or without managed services, and a solid foundation in infrastructure, networking, and load balancing.
  • Working knowledge of Go, high-availability and scalable system design, Infrastructure as Code (Terraform, Pulumi, or similar), Kubernetes, and modern monitoring and telemetry stacks (Prometheus or equivalent).
  • Daily fluency with AI coding agents and LLM tooling, with a clear point of view on where they help, where they fail, and how to verify their output. You actively adopt agentic workflows and look for opportunities to bring them deeper into how the team builds.
  • A bias toward driving change and strong cross-functional collaboration. You look for opportunities to improve how the team operates and communicate clearly in a hybrid, async-first environment.
Nice-to-Haves
  • Experience with Oracle Cloud Infrastructure or operating production systems across more than one cloud provider.
  • Background in developer tooling, internal platforms, or improving developer experience at scale.
  • Unity or broader gaming ecosystem experience.

Benefits
  • Group Retirement Savings Plan matching and participation
  • Comprehensive benefits package (health, dental, vision), including Health and Wellness spending account
  • Generous time off policies
  • Access to leading AI tools and platforms
HQ

Parallelz Toronto, Ontario, CAN Office

Toronto, Ontario, Canada, M5V 3L9

Similar Jobs

An Hour Ago
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Artificial Intelligence • Cloud • Information Technology • Legal Tech • Productivity • Software
Build and deploy production-scale LLM and ML systems: own end-to-end lifecycle, optimize GPU/Kubernetes deployments, implement production APIs, monitoring, CI/CD, collaborate with product, and set AI engineering best practices.
Top Skills: AksAWSAzureCi/CdContainerizationGCPGpusHugging FaceKubernetesLlmsModel/Version TrackingPythonPyTorchTransformer Architectures
3 Days Ago
Easy Apply
Hybrid
Toronto, ON, CAN
Easy Apply
Mid level
Mid level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Build and operate full-stack scheduling platform components: design, code, test, and ship backend microservices, APIs and front-end interfaces. Architect highly available services, scalable databases and reliable data streams, collaborate with product and design, participate in on-call rotation, and advance AI-native engineering practices.
Top Skills: Ai Coding ToolsAi/MlAPIsAuroraAWSData StreamsJavaKafkaMicroservicesMySQLNoSQLPythonReact
7 Days Ago
Hybrid
Toronto, ON, CAN
Mid level
Mid level
Artificial Intelligence • Cloud • Information Technology • Legal Tech • Productivity • Software
Lead end-to-end ML lifecycle for enterprise NLP and generative AI systems: prototype, fine-tune, deploy, and scale LLM/NLP solutions on GPU-backed Kubernetes cloud infrastructure while ensuring observability, CI/CD, performance, and cost efficiency.
Top Skills: AksAWSAzureCi/CdDockerGCPGpusHugging FaceKnowledge GraphsKubernetesLangchainLlamaindexPythonPyTorchRaySglangVllm

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.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account