JobsCloseBy Editorial Insights
Apple seeks a DevOps Software Engineer to own turning security research prototypes into reliable services in the Security Engineering & Architecture team in Paris. You’ll fuse infrastructure and software development, joining researchers worldwide to scale binary analysis, static pipelines, and ML data engines into production platforms used across teams. You’ll design containerized deployments, CI/CD, secrets management, access controls, and monitoring. Required: containerization, Kubernetes, data storage, networking, OIDC/OAuth, queues, logging, monitoring; Python and Bash; CI/CD tooling; Prometheus, Grafana, OpenSearch/ELK. Preferred: security tooling, offensive security, large-scale data pipelines, AI/ML workflows. To apply well, tailor your resume to show concrete production rollouts, cross-team impact, and demonstrate ownership in a fast-paced onsite Paris role.
Summary
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 build 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.
Description
A strong candidate for this role is passionate about building reliable, secure, and scalable infrastructure that directly amplifies security research impact. You will work closely with security researchers, located 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. You will own the complete journey: from evaluating prototype readiness and hardening codebases for scale, through deployment, to ongoing reliable operation.
On the development side, you will 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. On the infrastructure side, you will design containerized deployments, establish CI/CD pipelines, implement secrets management and access controls, and build monitoring and observability practices that keep platforms performant and security.
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;
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.