Senior AI Developer Tools Engineer

Arlo Technologies, Inc.

Milpitas (CA)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Job summary

Arlo Technologies, Inc. is seeking a Senior Developer to build an autonomous coding agent that writes, tests, reviews, and ships code. You will shape the agent's context and integrate with GitHub, Jira, Slack, Buildkite, Confluence, and AWS. You’ll advance AI-driven development on a real codebase used by customers.

You will own end-to-end automation, improve code quality, and drive rapid iteration with a small, autonomous team. Strong Python and LLM experience are essential.

Qualifications

  • 5+ years of software engineering experience.
  • Strong Python skills and experience with LLMs.
  • Experience with AI-driven development workflows.
  • Familiarity with CI/CD pipelines and cloud infrastructure.

Responsibilities

  • Build and improve the autonomous coding loop: task understanding, code generation, test execution, self-repair, and code review.
  • Design the agent's context layer — codebase semantic index, retrieval, and knowledge base.
  • Leverage LLMs to automate repetitive engineering work and provide smart developer assistance.
  • Build scalable Python services and APIs powering internal developer tooling.
  • Integrate the agent with tools like GitHub, Jira, Slack, Buildkite, Confluence, AWS.
  • Measure agent quality: evals, benchmarks, and regression suites.
  • Work closely with platform and product teams to find high-impact automation opportunities.

Skills

Software engineering
Python
LLMs
CI/CD
Cloud (AWS)
IaC
Autonomous work
Agent orchestration

Tools

GitHub
Jira
Slack
Buildkite
Confluence
AWS

Job description

Arlo Technologies, Inc. is seeking a Senior Developer to build an autonomous coding agent that writes, tests, reviews, and ships code. You will shape the agent's context and integrate with GitHub, Jira, Slack, Buildkite, Confluence, and AWS. You’ll advance AI-driven development on a real codebase used by customers.

You will own end-to-end automation, improve code quality, and drive rapid iteration with a small, autonomous team. Strong Python and LLM experience are essential.

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