Security Platform Engineer: Cloud, IAM & Automation

Parallel Web Systems; San Francisco, Palo Alto (CA, CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive salary

Generous equity

Visa sponsorships

401K plans

Daily lunch & office snacks

Dinner at the office

Unlimited vacation

Caltrain pass reimbursement

Job summary

Parallel Web Systems is building and operating robust security foundations across production infrastructure and internal systems. You will define authentication, authorization, hardening, and auditable controls, spanning identity, cloud/Kubernetes security, and software supply chain integrity.

You will shape secure defaults, contribute to centralized logging and detection, and specify how AI coding agents access Parallel’s environment while ensuring traceability and safety.

Qualifications

• 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 cloud, network, secrets management, and workload isolation fundamentals.
• 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.
• A track record of shipping security controls across an engineering organization, including making tradeoffs to get them adopted.
• Experience with endpoint security, device trust, recovery planning, SOC 2, customer audits, or contractual security requirements is a plus.
• Experience securing AI or agentic systems is a plus.

Responsibilities

• Build and operate the security foundations for Parallel’s production infrastructure, internal systems, and access controls.
• Own authentication, authorization, production hardening, and enforcement of security controls from source to workloads.
• Work across identity, cloud and Kubernetes security, software supply chain integrity, logging/detection, endpoint security, and recovery.
• Design secure defaults for engineers and systems, and create auditable, measurable security controls.
• Help define how AI coding agents operate inside Parallel’s infrastructure, including access privileges and logging.

Skills

Cloud infrastructure

Identity & access

Kubernetes security

Logging & detection

Deployment pipelines

Terraform

Python

Go

Automation

Security controls adoption

Tools

Terraform

Python

Go

Job description

Parallel Web Systems is building and operating robust security foundations across production infrastructure and internal systems. You will define authentication, authorization, hardening, and auditable controls, spanning identity, cloud/Kubernetes security, and software supply chain integrity.

You will shape secure defaults, contribute to centralized logging and detection, and specify how AI coding agents access Parallel’s environment while ensuring traceability and safety.