Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
We are seeking a senior Detection and Response Platform Engineer to own and evolve the systems and tooling that power our detection and response program. You will build and operate the services that move and shape security telemetry, execute detection logic reliably, and enable automation that makes investigation faster and more consistent. This is an engineering role on the Detection and Response team, focused on building durable internal systems that other engineers rely on, with strong expectations around reliability, operability, and developer experience.
ResponsibilitiesOwn and evolve the core infrastructure that powers detection and response workflows at scale.
Design and maintain security telemetry pipelines, including collection, normalization, enrichment, and retention of logs and events.
Own and evolve the execution environment and supporting tooling for detections and response automation, including dependency and configuration management, release processes, and runtime health monitoring.
Automate investigation and response workflows by extending integrations across the tools we rely on.
Set and uphold engineering standards for our tooling: clear interfaces, automated tests, code review, and documentation that makes the system easy to extend.
Own operational health for the platform, including metrics, alerting, and on-call responsibilities focused on system reliability and availability.
Explore and apply emerging approaches, potentially leveraging AI, to reduce toil and strengthen our security posture.
Maintain operational playbooks and procedures that keep the platform healthy and make failures fast to diagnose and recover from.
5+ years of experience in cloud infrastructure, platform/SRE, software engineering, or security engineering with a strong infrastructure focus.
Strong proficiency in Python, with the ability to write clean, maintainable, and testable code for production systems.
Hands-on experience operating production systems in a major cloud environment (AWS, Azure, or GCP), including IAM, networking, and logging/auditing.
Experience building and operating event/log pipelines and data workflows (streaming and/or batch), with strong fundamentals in reliability and data quality.
Experience with infrastructure as code and deployment automation (e.g., Terraform/Pulumi and CI/CD).
Practical knowledge of detection and response concepts across cloud, identity, and endpoint environments, with the ability to partner effectively with D&R engineers.
Strong fundamentals in operating systems, networking, and troubleshooting distributed systems.
Excellent written communication skills, with the ability to create clear documentation and runbooks.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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Skills Required
- 5+ years of experience in cloud infrastructure, platform/SRE, software engineering, or security engineering with a strong infrastructure focus
- Strong proficiency in Python for clean, maintainable, testable production code
- Hands-on experience operating production systems in AWS, Azure, or GCP, including IAM, networking, and logging/auditing
- Experience building and operating event or log pipelines and data workflows, including streaming and/or batch systems
- Experience with infrastructure as code and deployment automation, such as Terraform or Pulumi and CI/CD
- Practical knowledge of detection and response across cloud, identity, and endpoint environments
- Strong fundamentals in operating systems, networking, and distributed-systems troubleshooting
- Excellent written communication skills, including the ability to create clear documentation and runbooks
What We Do
Cerebras Systems develops wafer-scale semiconductor hardware, AI supercomputers, and software/cloud services for training and inference. Its CS-2 and CS-3 systems help organizations build on-premise AI supercomputers, while pay-as-you-go cloud offerings provide developers and enterprises access to its computing platform. The company focuses on making AI training and inference faster and easier for diverse research and production workloads at scale worldwide.
