Platform Cryptography Engineer — Secure SaaS & Key Management

engineeringjobs.net, Inc.; Santa Clara (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

401(k) Plan With Company Match

Employee Stock Purchase Plan

Health Plans

Flexible Spending Accounts

Matching Donations

Flexible Time Away Plan

Family Leave Programs

Job summary

engineeringjobs.net, Inc. is seeking a security-focused software engineer to design, develop, and operate cryptographic services for a large-scale, multi-tenant SaaS platform, including key management, certificate lifecycle, and secrets distribution.

You will apply ML techniques to detect cryptographic misuse, collaborate across teams, and contribute to secure design, code reviews, deployment, and incident response.

Qualifications

• 4 years+ professional software engineering experience.
• Proficiency in Java, Go, or equivalent OO language with production-scale expertise.
• Hands-on Kubernetes service operations.
• Strong understanding of cryptographic fundamentals, distributed systems, secure coding, and software design.
• Experience with cryptography systems, applied ML/AI, backend services, or regulated environments is a plus.

Responsibilities

• Design, develop, and operate secure cryptographic services for a large-scale multi-tenant SaaS platform (key management, certificate lifecycle, secrets distribution).
• Apply statistical or ML techniques to detect cryptographic misuse and anomalies.
• Collaborate across teams and contribute to secure design, code reviews, deployment, and incident response.

Skills

Java

Go

Cryptography

Kubernetes

Distributed Systems

Secure Coding

Machine Learning

Anomaly Detection

Public Key Infrastructure

Secrets Management

Post-Quantum Cryptography

MSQL/NoSQL Datastore

Incident Response

Job description

engineeringjobs.net, Inc. is seeking a security-focused software engineer to design, develop, and operate cryptographic services for a large-scale, multi-tenant SaaS platform, including key management, certificate lifecycle, and secrets distribution.

You will apply ML techniques to detect cryptographic misuse, collaborate across teams, and contribute to secure design, code reviews, deployment, and incident response.