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XTIUM

Managed IT services with secure VDI

Security Engineer - Secure Development

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • At least 8 years of experience in application security, DevSecOps, or secure software development.
  • Strong hands-on experience reviewing code in one or more modern programming languages, such as Java, JavaScript or TypeScript, Python, or C++.
  • Proven experience securing APIs, web applications, microservices, and cloud-native platforms across Azure and AWS.
  • Experience integrating security controls into CI/CD pipelines and modern DevOps workflows, specifically Jenkins and GitHub Enterprise.
  • Deep understanding of common vulnerabilities and attack patterns, including OWASP Top 10, API security risks, and supply chain threats.
  • Demonstrated experience with AI security analysis, including identifying prompt injection vectors and detecting AI-based data leakage within code and AI-integrated applications.
  • Experience securing data storage and messaging technologies such as RabbitMQ, Kafka, Cassandra, MongoDB, and Snowflake.
  • Ability to balance security rigor with delivery velocity in a customer-facing managed services provider environment.

Responsibilities

  • Own and enforce secure development standards for internally built applications, platforms, automation, and tooling across Java, React, Node.js, Python (Django and FastAPI), JavaScript, HTML, and C++.
  • Perform and oversee manual and automated code reviews, including static, dynamic, dependency, and supply chain analysis tailored to the language and framework in use.
  • Establish release gates requiring security approval before software or AI systems are delivered to customers or promoted internally.
  • Define remediation standards and risk acceptance criteria for security findings.
  • Conduct secure design reviews and application threat modeling during early development to identify and mitigate risks before implementation.
  • Review internally developed AI models, agents, prompts, integrations, and data pipelines for security, privacy, and misuse risks.
  • Perform AI-based security analysis on code and integrated AI components, identifying and mitigating prompt injection vulnerabilities and AI-based data leakage risks in application code and model interactions.
  • Evaluate AI integrations for sensitive-data exposure through model outputs, embeddings, or training pipelines, and enforce controls to prevent unauthorized data exfiltration through AI features.
  • Ensure AI systems comply with internal governance, customer contractual obligations, and emerging regulatory expectations.
  • Partner with engineering and data teams to implement secure AI development patterns, including data protection, access controls, and auditability.
  • Integrate security tooling into CI/CD pipelines, specifically Jenkins and GitHub Enterprise, including SAST, DAST, dependency scanning, container scanning, and secrets detection.
  • Promote shift-left security practices and reduce late-stage security blockers through developer enablement.
  • Collaborate with DevOps and Platform teams on secure delivery pipelines and runtime controls.
  • Secure data persistence and messaging layers, including RabbitMQ, Kafka, Cassandra, MongoDB, and Snowflake, ensuring encryption, access control, and secure configuration.
  • Protect XTIUM intellectual property through secure design, code custody, and controlled access to source repositories within GitHub Enterprise.
  • Support compliance efforts across SOC 2, ISO 27001, and customer-specific security requirements.
  • Produce audit-ready artifacts, including risk assessments, code review records, and security sign-offs.
  • Act as the primary application security escalation point for engineering and leadership.
  • Mentor developers and engineers on secure coding practices and threat modeling across multiple languages and frameworks.
  • Provide executive-level reporting on application and AI security posture, trends, and risk exposure.

Desired Qualifications

  • Experience securing AI/ML systems, automation platforms, or data-driven applications.
  • Familiarity with containerized environments and orchestration.
  • Experience in a managed services provider (MSP) or SaaS organization with external customer delivery obligations.
  • Knowledge of regulatory and compliance frameworks affecting software and data security.
  • Experience with Django and FastAPI frameworks.
  • Hands-on experience with AI security tooling, red teaming large language models, or implementing guardrails against prompt-based attacks and data exfiltration.

About the Company

XTIUM

Managed IT services with secure VDI

Xtium provides managed IT services for mid-market and enterprise clients, including VDI, unified communications, cloud services, and cybersecurity. It uses a recurring revenue model with managed service contracts to act as a trusted IT partner, helping clients reduce risk and improve efficiency without a large internal IT staff. The offerings are built on a security-first approach, embedding enterprise-grade cybersecurity and AI-enhanced monitoring across services. Its goal is to help clients scale securely and efficiently by delivering integrated, proactive IT management built around risk reduction and operational effectiveness.

Company size
201-500
Company stage
Early VC
Total funding
$15.5M
Headquarters
Upper Merion Township, Pennsylvania
Founded
2007

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