Software Engineer, Deployment & Compliance

Apple

Seattle, WA • 21m ago • On-site

Mid

On-site

142,300 - 214,300 USD/yr

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Quick Facts

  • Role: Software Engineer (Deployment & Compliance)

Description

Build and modernize backend change-deployment compliance services that help teams plan, approve, and release changes safely and reliably. Own services for change tracking, approvals, risk assessment, release coordination, and audit/compliance workflows, and integrate them end-to-end with build, deployment, and hotfix pipelines. Use agentic AI and intelligent automation to assess change risk, triage failed or blocked changes, and support developers autonomously.

Responsibilities

  • Design and build backend services for change management (tracking, approvals, risk assessment, release coordination).
  • Modernize legacy change-management systems and migrate to a single, well-integrated path from change request to production.
  • Integrate with build/deployment/hotfix pipelines so approvals and releases flow reliably end to end.
  • Build tool-using, agentic AI systems to assess risk, triage blocked changes, and assist developers autonomously.
  • Translate requirements into production systems with project managers, partner platform teams, and SREs.
  • Monitor and improve the services shipped; participate in incident response/on-call as needed.
  • Continuously simplify the platform by reducing complexity, duplication, and manual steps.

Requirements

  • 2+ years of industry experience building backend systems
  • Strong programming skills in Java and Python
  • Familiarity with AI-driven and agentic tools to improve workflows and productivity
  • Knowledge of algorithms, data structures, and distributed systems principles
  • Experience with relational and/or NoSQL databases and scalable service architectures
  • Excellent communication skills and a collaborative mindset
  • BS, MS, or PhD in Computer Science/Engineering

Benefits

  • Opportunity to work on scalable, resilient systems used by engineering teams
  • Build developer-focused automation and agentic AI to reduce toil and improve release reliability
  • Modernize large-scale change management and compliance workflows end to end

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