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Software Engineer (Dev Accelerator)

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Onsite

Software Engineer (Dev Accelerator)

Abnormal Security

Software Engineer (Dev Accelerator)

Skills

PythonGolangAIAWSGitHubKubernetes

2 months ago

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Important information


Contract type:

Permanent

Location:

Canada

Work mode:

Onsite

Published on:

3 September 2026

What they need


  • Abnormal AI is looking for a Software Engineer II to join the Dev Accelerator Team. The Dev Accelerator team builds and operates our internal developer platform: the tools, libraries, and infrastructure that let 100+ engineers design, build, test, and ship products quickly and safely
  • Autonomous PR generators for rolling out migrations and linter rule enforcement
  • Testing frameworks for enabling clear end to end test support with data generation and coverage tooling
  • Optimizing CI execution speeds
  • Developer CLI tooling: a “Prompt-to-Product” style CLI that scaffolds services end to end, environment and credentials tooling, and a broad set of internal developer scripts
  • Large scale code migrations to improve the shape of the codebase for AI efficacy
  • Develop and evolve the internal developer platforms that supports development across Abnormal
  • Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure
  • Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to make our Golden Path fast, reliable, and intuitive
  • Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents
  • This is an individual-contributor role with ownership of multi-quarter initiatives. Success requires close collaboration with product engineering, Infrastructure, SRE, Security, and other partner teams

Benefits

  • Healthcare
  • Flexible PTO
  • 401k
  • One Medical
  • Flexible Spending Account
  • Mental Health Resources
  • Home Office Stipend
  • Monthly Internet & Phone Stipend
  • Health and Wellness Stipend- 3+ years of experience as a software engineer or in a similar role
  • Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems
  • Experience or strong interest in using LLMs to improve developer workflows (e.g., failure summarization, smart code generation, AI-native CLIs)
  • Familiarity with our stack: Python, Golang, Bazel, AWS, Kubernetes, Github Actions
  • Built or maintained CLI tools, scaffolding systems, or internal frameworks used by other engineers
  • Experience with test data management, integration/E2E test infrastructure, or bad-test detection
  • Hands on experience in
  • CLI development
  • YAML/Jinja2-style templating
  • Modern type hints and typing discipline (e.g., typing, dataclasses / attrs, Pydantic-style patterns)
  • Testing with standard frameworks like pytest/Ginkgo or similar
  • Shared library and service development (gRPC/HTTP)
  • Authoring reusable workflows

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