Benefits:
Competitive salary
About the Role
Location: Fully Remote (U.S.) Start Date: ASAP Compensation: Competitive / Market Rate
SMART TECH SKILLS is seeking a Product & Data Security Engineer to help embed Secure-by-Design and Privacy-by-Design principles directly into the software development lifecycle (SDLC).
In this role, you will work closely with engineering teams to automate application security and data protection controls through code, ensuring security guardrails are enforced consistently via CI/CD pipelines and Git-based workflows. The environment is Azure-native, fully automated, and operates under a GitOps model—with no manual configuration or console-based security controls.
This is a hands-on engineering role for someone who enjoys building scalable security platforms, tooling, and guardrails that developers use by default.
Key Responsibilities
Secure SDLC Automation
Design, implement, and maintain automated SAST, SCA, and API security pipelines using GitHub Actions or equivalent CI/CD tooling
Implement policy-as-code security gates to prevent insecure code from being merged or released
Ensure security controls are enforced automatically throughout the SDLC
Data Loss Prevention (DLP) & Privacy
Implement source-level detection of PHI, PII, and secrets within CI/CD pipelines
Leverage regex-based and ML-based classifiers to identify sensitive data
Prevent sensitive data from entering source code repositories or build artifacts
API & Transport Security
Define and enforce Layer 7 security standards, including:
TLS 1.3 and HSTS
OAuth 2.0 / OIDC authentication flows
Secure JWT lifecycle management
Implement and enforce OpenAPI validation and linting policies
Data Protection Engineering
Develop reusable, secure-by-default libraries for:
Application-layer encryption
Tokenization
Data redaction and masking
Enable development teams with secure tooling that minimizes friction
Software Supply Chain Security
Generate Software Bills of Materials (SBOMs) for every build
Sign and attest to build artifacts
Enforce artifact provenance and integrity verification through CI/CD pipelines
Required Qualifications
5+ years of experience in Application Security, Product Security, or Software Engineering
Strong hands-on experience with CI/CD security automation
Experience using GitHub Actions or comparable CI/CD platforms
Proven experience implementing secret detection and DLP tooling
Solid understanding of API security, OAuth 2.0, and OIDC frameworks
Strong programming skills in Python, Go, or TypeScript
Preferred Qualifications
Experience building security automation in GitOps-based environments
Azure-native cloud security experience
Experience designing or implementing secure development frameworks for enterprise applications
Familiarity with AI-assisted or developer productivity security workflows
Success Metrics
90%+ of repositories protected by automated DLP and secret scanning
100% API compliance with standardized authentication and security patterns
Significant reduction in high and critical application-layer vulnerabilities
Why Join SMART TECH SKILLS
Work on modern, cloud-native security challenges at scale
Build security platforms that directly enable and protect developers
Collaborate with engineering teams focused on automation and quality
Fully remote role with long-term growth potential
This is a remote position.