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DevOps Software Engineer

Apple

Paris · On-site Full-time Mid Level Yesterday

About the role

About

As part of Apple's Security Engineering & Architecture (SEAR) organization, you'll join our mission to create the world's most secure products. We are committed to building groundbreaking tools that empower our security researchers to deeply analyze Apple's codebases and frameworks and surface security concerns efficiently and at scale.

We are seeking a DevOps Software Engineer to take ownership of taking security research prototypes and scaling them into reliable, production‑grade services. By combining infrastructure and software development, you will directly contribute to our mission to create the world's most secure products.

Responsibilities

  • Work closely with security researchers worldwide to transform internal research tools—including binary analysis frameworks, static analysis pipelines, and ML‑powered data intelligence engines—into robust production services used by teams across Apple.
  • Own the complete journey: evaluate prototype readiness, harden codebases for scale, deploy, and ensure reliable operation.
  • Assess existing research codebases for production readiness, extend and improve them for scale, and build service APIs and integrations that make them accessible to a broader audience.
  • Design containerized deployments, establish CI/CD pipelines, implement secrets management and access controls, and build monitoring and observability practices that keep platforms performant and secure.

Minimum Qualifications

  • Experience designing and operating cloud and on‑premises service infrastructure, with advanced knowledge of containerization, Kubernetes, data storage, networking, authentication/authorization (OIDC, OAuth), queuing, logging, and monitoring.
  • Advanced knowledge in scripting and programming languages, including Python and Bash.
  • Experience with CI/CD pipelines and automation tooling (e.g., Jenkins, GitHub Actions, or equivalent), and observability stacks (e.g., Prometheus, Grafana, OpenSearch/ELK).
  • Self‑starter with strong ownership, accountability, and ability to work autonomously and collaboratively across teams and organizations in a fast‑paced environment.

Preferred Qualifications

  • Experience building or operating security research tooling.
  • Experience with and/or strong enthusiasm for security, especially offensive security.
  • Prior experience working with large‑scale data pipelines and storage systems.
  • Familiarity with AI/ML workflows and agents.

Inclusion Statement

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

Requirements

  • Experience designing and operating cloud and on-premises service infrastructure, with advanced knowledge of containerization, Kubernetes, data storage, networking, authentication/authorization (OIDC, OAuth), queuing, logging, and monitoring.
  • Advanced knowledge in scripting and programming languages, including Python and Bash.
  • Experience with CI/CD pipelines and automation tooling (e.g., Jenkins, GitHub Actions, or equivalent), and observability stacks (e.g., Prometheus, Grafana, OpenSearch/ELK).
  • Self-starter with strong ownership, accountability, and ability to work autonomously and collaboratively across teams and organizations in a fast-paced environment.

Responsibilities

  • Take ownership of taking security research prototypes and scaling them into reliable, production-grade services.
  • Work closely with security researchers, located worldwide, to transform internal research tools into robust production services used by teams across Apple.
  • Own the complete journey: from evaluating prototype readiness and hardening codebases for scale, through deployment, to ongoing reliable operation.
  • Assess existing research codebases for production readiness, extend and improve them for scale, and build the service APIs and integrations that make them accessible to a broader audience.
  • Design containerized deployments, establish CI/CD pipelines, implement secrets management and access controls, and build monitoring and observability practices that keep platforms performant and secur

Skills

BashCI/CDContainerizationData storageGrafanaGitHub ActionsKubernetesLoggingMLMonitoringNetworkingOIDCOAuthOpenSearchPrometheusPythonQueuing

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