Remote Jobs RockRemote Jobs Rock

Software Supply Chain Security Engineer

πŸ•’ 29 days ago
Software Supply Chain SecuritySDLCSecure Code ManagementBuild Pipeline Hardening
Apply Now

πŸ“œ Description

  • Define and implement security requirements for artifact build pipelines, including maturing SLSA processes.
  • Partner with platform, infrastructure, networking, and hardware teams to identify supply chain gaps and secure CI/CD artifacts.
  • Develop threat models for build and deployment layers, including trust boundaries and first- and third-party mechanisms.
  • Work with engineering leads and DevOps architects to integrate secure supply chain principles from the start.
  • Balance security controls with engineering outcomes to support secure, fast delivery.
  • Document security posture and strategy for technical and nontechnical audiences.

πŸ› οΈ Requirements

  • 8-10 years of experience with software supply chain and SDLC topics including secure code management, build pipeline hardening, artifact signing and attestation, and the end-to-end integration thereof.
  • Masters in Computer Science or PhD (preferred)
  • Strong hands-on engineering abilities in devops and SDLC contexts
  • Strong written communication skills, with the ability to make security concepts approachable for non-specialists.
  • Direct work with Agentic workflows and deep understanding of LLM and reasoning cycles.

✨ Benefits

  • 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.
Full job description

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.

Cerebras is seeking a Software Supply Chain Security Engineer to help build a secure foundation for our build and development workflows.

In this role you will be responsible for assessing and hardening every layer of our source to artifact pipeline, from how we store and manage code to what we deploy into our clusters.

The ideal candidate brings a combination of wide breadth of knowledge on a variety of software supply chain topics throughout the whole SDLC process, a pragmatic and results-driven outlook on security, and the flexibility and attention to detail to work in a fast-paced development environment without compromising our security standards.

Responsibilities

  • Define core security requirements for artifact build pipelines including maturing SLSA processes, and see them through from ideation to implementation

  • Partner with platform, infrastructure, networking, and hardware teams to identify supply chain gaps and deliver end-to-end solutions for ensuring confidence in CI/CD artifacts

  • Develop threat models for each layer of the build and deploy stack, outlining trust boundaries and the interplay between first and third-party mechanisms

  • Work with engineering leads and devops architects to build in secure supply chain principles from the beginning

  • Balance engineering outcomes with security controls, enabling the company to deliver securely quickly

  • Document security posture and strategy for technical and nontechnical audiences from both 1p and 3p perspectives

Skills and Qualifications

  • 8-10 years of experience with software supply chain and SDLC topics including secure code management, build pipeline hardening, artifact signing and attestation, and the end-to-end integration thereof.

  • Masters in Computer Science or PhD (preferred)

  • Strong hands-on engineering abilities in devops and SDLC contexts

  • Ability to work in fragmented and legacy build environments, experience with modernizing stacks is a plus

  • Familiarity with AWS, Jenkins, SLSA, and best practices for secure artifact provenance and builds are a plus

  • Strong written communication skills, with the ability to make security concepts approachable for non-specialists.

  • Direct work with Agentic workflows and deep understanding of LLM and reasoning cycles.

Β 
Β 

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:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.

  2. Publish and open source their cutting-edge AI research.

  3. Work on one of the fastest AI supercomputers in the world.

  4. Enjoy job stability with startup vitality.

  5. 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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Datadog

Senior Security Engineer - Platform Trust & Safety

πŸ•’ 3 days ago
DatadogπŸ‘₯ 5001 - 10,000 employees🏒 Computer Software

Build platform security and trust features that protect users from abuse, guide security engineering priorities, and improve account controls through full-stack development, risk scoring, and incident response.

Software Security EngineeringPlatform SecurityUser Security FeaturesFront-end Development
Wayve

Cyber Security Engineer

πŸ•’ 3 days ago
WayveπŸ‘₯ 501 - 1000 employees🏒 Computer Software

Lead cybersecurity threat and risk assessments for onboard software and vehicle integration, define security concepts and mitigations, and embed security requirements across development, testing, and OEM collaboration.

Cybersecurity Systems EngineeringTARASTRIDEHEAVENS 2.0
Plaid

Senior Product Security Engineer

πŸ•’ 5 days ago
PlaidπŸ‘₯ 10,000+ employees🏒 Software Development

Lead product security reviews and threat modeling for complex applications, APIs, and distributed systems, partnering with engineering teams to identify risks, shape secure architecture, and validate mitigations.

Product SecurityApplication SecuritySecurity ArchitectureThreat Modeling
Blackline Safety

Senior Cybersecurity Engineer

πŸ•’ 5 days ago
Blackline SafetyπŸ‘₯ 501 - 1000 employees🏒 Computer Software

Provides senior technical leadership across enterprise cybersecurity, designing security controls and architecture, leading investigations and incident response, and reducing cloud, identity, infrastructure, and exposure risks.

Cybersecurity EngineeringEnterprise Security ArchitectureCloud SecurityIdentity And Access Security
Skylight

Principal or Staff Product Security Engineer

πŸ•’ 4 days ago
Skylight🏒 Consumer Electronics

Own product security execution across cloud services, mobile apps, and Android, driving vulnerability remediation, security tooling, bug bounty operations, and design reviews while shipping fixes directly when needed.

Product SecurityApplication SecurityVulnerability ManagementBackend Services And APIs

Trusted by Remote Workers