Senior DevSecOps Engineer

Job Title: Senior DevSecOps Engineer
Location: US / Remote
Department: Digital AI
Reports to: Senior Manager, IT Risk, Security & Compliance
About the Role
As PennEngineering accelerates its Speed of Now transformation (respond in 1 hour, quote in 1 day, samples in 1 week, finished product in 1 month), we are rapidly expanding our cloud-native, AI-powered application portfolio. Delivering at this pace demands that security is not a checkpoint at the end of development, but an engineered capability embedded into every layer of how we build and deploy software.

The Senior DevSecOps Engineer is responsible for building and operating the security guardrails, tooling, and automation that enable PennEngineering's engineering teams to ship code safely at high velocity. This is a hands-on leadership role: part builder, part automator, part platform engineer. You will own the security posture of our global AWS cloud environment and customer-facing platforms, automate the guardrails that protect organizational assets, and ensure that our CI/CD pipelines enforce security by design, without creating friction that slows our teams down.

As PennEngineering's AI application portfolio grows, including AI-powered workflows, agentic systems, and customerfacing digital platforms, this role will play a critical part in implementing, and helping to shape, the security architecture and governance frameworks that allow those systems to operate reliably, safely, and at enterprise scale.

Key Responsibilities

Cloud Security Posture & Remediation
Continuously assess, harden, and elevate the security posture of PennEngineering's AWS cloud infrastructure, covering both customer-facing platforms and internal enterprise systems
Design and build custom security tools, frameworks, and policies tailored to protect PennEngineering's internal and external organizational assets
Own the end-to-end vulnerability management lifecycle, including triage, tracking, prioritization, and automated remediation of identified vulnerabilities and cloud misconfigurations
Establish a continuous posture improvement program with defined baselines, remediation SLAs, and executivelevel reporting on security health
Pipeline Security & CI/CD Integration
Design and implement automated security scanning (SAST, SCA, and DAST), embedded directly into CI/CD pipelines, ensuring checks are high-fidelity and low-latency to support our daily deployment cadence
Configure pre-commit hooks, pull request checks, and branch protection rules that automatically detect and block secrets, misconfigurations, or vulnerable dependencies before they reach production
Partner with AI engineering teams to secure AI/LLM workloads within the pipeline, including prompt injection protections, model input/output validation, and agentic system guardrails
Establish security gate standards and developer-friendly documentation so engineering teams understand what is enforced, why, and how to resolve failures quickly
Automated Governance & Policy-as-Code
Replace manual security audits with automated policy enforcement using infrastructure-as-code tools (Terraform,
AWS Config), ensuring non-compliant infrastructure cannot be provisioned
Build event-driven automation to detect and auto-remediate common security issues in near real-time, reducing mean time to respond across the environment
Define and maintain security governance standards, including access controls, secrets management, encryption policies, and data classification frameworks
Establish audit-ready documentation and evidence collection practices to support internal compliance reviews and external assessments
Cloud Operations & Threat Response
Maintain the operational security health of PennEngineering's AWS environment, using automation to manage scaling events, configuration drift, and self-healing infrastructure
Operationalize CrowdStrike and Zscaler telemetry by automating the correlation of security alerts to reduce noise and trigger rapid, automated response workflows
Define and own security incident response playbooks; lead root-cause analysis and post-incident reviews to drive systemic improvements
Collaborate with IS, infrastructure, and AI engineering teams to ensure threat response practices are integrated across the full technology stack
Security for AI & Emerging Platforms
Help define, and own the implementation of, the security architecture for PennEngineering's AI-powered application portfolio, including data access controls, model governance, prompt safety, and auditability for agentic systems
Evaluate and advise on security posture for new platforms, tools, and third-party integrations as the technology portfolio evolves
Partner with the Principal Systems Architect and AI engineering teams to embed security requirements into solution designs from the earliest stages
Stay current on emerging threats relevant to AI systems, cloud-native architectures, and manufacturing/industrial environments, and translate findings into actionable security guidance
Key KPIs
Vulnerability remediation SLA compliance: % of identified vulnerabilities resolved within defined timeframes by severity tier
Pipeline security gate effectiveness: % of CI/CD pipelines with automated security scanning enabled; false-positive rate maintained below threshold to avoid developer friction
Mean time to detect and respond (MTTD / MTTR) for security incidents across the cloud environment
Policy-as-code coverage: % of infrastructure provisioned through automated, policy-enforced pipelines vs. manual processes
Cloud security posture score: continuous improvement trend against defined baseline using AWS Security Hub or equivalent
AI workload security coverage: % of AI-powered applications and agentic systems operating under defined security standards
What does success look like?

Success in this role means PennEngineering's engineering teams ship code at high velocity with confidence, knowing that automated security guardrails are working in the background, not slowing them down. Security findings are caught earlier in the development cycle, remediated faster, and tracked with full visibility. Our AWS environment maintains a continuously improving posture, and our AI-powered platforms operate under clear, auditable security controls and standards.

The Senior DevSecOps Engineer is successful when security is a competitive enabler for PennEngineering's Speed of Now transformation, not a constraint on it. You are proactive, automation-first, and deeply collaborative. You build relationships with engineering and product teams by making security easy to do correctly, and you bring the same datadriven discipline to security operations that our engineering teams bring to delivery.

Required Qualifications
8+ years of experience in cloud security, DevSecOps, or security engineering
Deep expertise in AWS cloud architecture and security services, including IAM, Security Hub, GuardDuty, Config,
KMS, VPC design, and CloudTrail
Proven experience integrating automated security tooling (SAST, SCA, DAST) into modern CI/CD pipelines without degrading deployment velocity
Hands-on experience with infrastructure-as-code and policy-as-code approaches using Terraform or AWS CDK
Strong scripting and automation skills in Python, Go, or Bash, with the ability to build custom security tools and integrate systems programmatically
Experience securing containerized workloads including Docker, Kubernetes, and ECS/EKS deployments
Practical knowledge of vulnerability management, threat modeling, incident response, and security operations in a cloud-native environment
Demonstrated ability to work as a trusted partner to engineering and product teams, designing security that accelerates rather than blocks delivery
Excellent communication skills, including the ability to translate technical security risks into business terms for senior leadership
Bachelor's degree in Computer Science, Information Security, Engineering, or a related technical field

Preferred Qualifications
Experience securing AI/LLM-powered systems and contributing to their security architecture, including prompt injection protections, model access controls, output validation, and auditability requirements for agentic applications
Hands-on experience operationalizing CrowdStrike and Zscaler in an enterprise environment
Familiarity with Model Context Protocol (MCP) and emerging security considerations for tool-use in agentic AI systems
Experience in manufacturing, industrial, or complex B2B technology environments
Relevant certifications: AWS Security Specialty, CISSP, CCSP, or equivalent
Experience contributing to or leading security programs in support of SOC 2, ISO 27001, or similar compliance frameworks
Background working in a global organization with multi-region cloud deployments