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Parallel is a web infrastructure company that enables leading businesses to build AI agents with programmatic access to the web. The company has raised $230 million from top-tier VCs (Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, Terrain) and is valued at $2 billion.
In this role, you will build and operate the security foundations protecting Parallel's production infrastructure, internal systems, and access controls. You will own authentication and authorization mechanisms, determine what services and agents can reach, harden production environments, and enforce security controls from source code through running workloads.
Your responsibilities span identity and access management, cloud and Kubernetes security, software supply chain integrity, logging and detection infrastructure, endpoint security, and recovery procedures. You will design secure defaults that engineers inherit rather than configure, and build systems that make access, changes, and recovery measurable and auditable. You will also help define how AI coding agents operate within Parallel's infrastructure, including access levels, privileges, and constraints on their actions.
You will work across teams you do not manage, make practical security and engineering tradeoffs, and build durable foundations rather than controls requiring constant maintenance. The role sits at the boundary between security, platform engineering, and reliability.
Parallel operates fully in-person from Palo Alto HQ and San Francisco office. The organization is flat and talent-dense, focused on solving complex technical problems with high-conviction execution.
REQUIREMENTS:
- Significant experience building or operating infrastructure or security systems in production cloud environments
- Deep experience in at least one of: identity and authorization, cloud and Kubernetes security, or logging and detection platforms
- Strong fundamentals in cloud, network, secrets management, and workload isolation
- Experience building secure deployment pipelines, including artifact provenance, immutability, secret scanning, and software supply chain controls
- Experience designing centralized logging, alerting, and detection infrastructure across cloud, SaaS, identity, and endpoints
- Strong production coding and automation skills in Terraform, Python, Go, or similar tools
- Track record of shipping security controls across an engineering organization and making tradeoffs to drive adoption
- Plus: endpoint security, device trust, recovery planning, SOC 2, customer audits, or contractual security requirements experience
- Plus: experience securing AI or agentic systems
