Software Engineer II - Dev Accelerator

Accountabilities:

• • Develop, enhance, and operate internal developer platforms that improve the productivity, reliability, and safety of engineering teams.
  • Own high-impact, multi-quarter initiatives across CLI tooling, CI/CD, shared libraries, test infrastructure, and developer workflows.
  • Build and improve tools and abstractions that make the preferred engineering path faster, more reliable, and easier to use.
  • Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to deliver robust developer experiences.
  • Design workflows and platform capabilities that are increasingly AI-native and usable by both software engineers and AI agents.
  • Contribute to initiatives such as automated code generation, large-scale migrations, testing frameworks, environment tooling, and engineering automation.
  • Collaborate with Product Engineering, Infrastructure, SRE, Security, and other partner teams to deliver solutions aligned with broader engineering objectives.
  • Take ownership of technical decisions and deliver projects from discovery and design through implementation, rollout, and ongoing improvement.

  Requirements:

  • 3+ years of professional experience as a software engineer or in a comparable technical role.
  • Demonstrated ability to use AI-powered engineering tools throughout software development, including discovery, design, implementation, testing, and rollout.
  • Experience with, or strong interest in, applying LLMs to developer productivity and engineering workflows, such as failure summarization, intelligent code generation, or AI-native CLI experiences.
  • Familiarity with Python, Go, Bazel, AWS, Kubernetes, and GitHub Actions is highly valuable.
  • Experience building or maintaining CLI tools, developer scaffolding systems, internal frameworks, or reusable engineering platforms is preferred.
  • Experience with test data management, integration or end-to-end testing infrastructure, test coverage tooling, or automated detection of unreliable tests is advantageous.
  • Hands-on experience with CLI development, YAML/Jinja2-style templating, modern Python typing practices, and frameworks such as pytest, Ginkgo, or comparable testing tools is beneficial.
  • Experience developing shared libraries and services using technologies such as gRPC or HTTP, as well as authoring reusable CI/CD workflows, is a plus.
  • Strong ownership, problem-solving ability, collaboration skills, and enthusiasm for improving developer experiences are important for success in this role.

  Benefits:

  • Fully remote work opportunity in Canada.
  • Competitive base salary, with compensation dependent on experience, skills, qualifications, and location.
  • Equity participation and eligibility for an annual bonus.
  • Comprehensive benefits package.
  • Opportunity to work on innovative AI and cybersecurity technologies.
  • High-impact projects that directly improve engineering productivity across the organization.
  • Collaborative environment working with experienced teams across engineering, infrastructure, SRE, security, and product development.
  • Opportunities to develop expertise in AI-native software development and modern developer-platform technologies.
  • Inclusive workplace committed to diversity, equal opportunity, and professional growth.