Sr Developer Security Operations Engineer

At PennEngineering, we innovate and collaborate to make the world a better place. You can contribute to work that matters with a company where diversity, equity and belonging are shared values. We’re committed to fostering an environment for every employee that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

PennEngineering is seeking a motivated, excited, individual to be a part of Information Systems Team. As the Senior Developer Security Operations Engineer at PennEngineering, you’ll collaborate with teams that do truly amazing things.

Join us as we build the future in Manufacturing and Engineering!

Perks and Benefits:

• Medical & Employer Paid: Dental and Vision
• Parental Leave
• 401k and Employer Match
• Paid time off and holidays
• Tuition reimbursement
• Community Volunteering
• Talent Referral Bonus Program
• Onsite Fitness Center
• Employee Centric Culture
• Company Provided Technology (laptop, phone, monitors for office and home environment)

WHAT YOU WILL DO:

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 customer-facing 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 executive-level 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

Location: Danboro, PA (hybrid)

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