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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Cloud Platform Security Engineer - **Company:** CoStar Realty Information Inc. - **Location:** Arlington, VA, United States (Remote available) - **Experience:** Expert - **Salary:** $115,000.0 - $203,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Computer Networks, Databases, Continuous Integration, Identity and Access Management, Integrated Development Environments, Python (Programming Language), Key Management, Windows PowerShell, Cloud Services, Ansible, Zero Trust Network Access, Software Vulnerability Management, Datadog, Google Cloud, Cloud Platform System, Large Language Models, Agentic-AI, Cloudformation, Kubernetes, Information Technology, Tenable Nessus, Terraform, Prisma Cloud Platform, Serverless Computing, Security Orchestration, Automation & Response - **Published:** October 26, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3466744022&tx=JT9789TTT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's Degree required from an accredited, not for profit, in person, university or college (preferably in Computer Science, Cybersecurity or a related field). * A track record of commitment to prior employers. * 6+ years of hands-on security engineering experience, with depth in at least one and meaningful exposure to others among the following domains: * Securing cloud-native environments (AWS preferred). * Kubernetes platform hardening or monitoring. * CI/CD pipelines, containerized application deployments, and IAC, and software supply chain security. * Demonstrated track record of taking security initiatives from scoping through production rollout and operational ownership. * Demonstrated ability to author scripts or IAC from scratch in either Python, PowerShell, Ansible, CloudFormation, Terraform, or similar language. * Securing AI-powered applications, including threat modeling for LLM-based features, MCP server implementations, or agentic systems. * Experience working in a software development environment with a mature CI/CD. * Passion for solving complex challenges, innovating, and engaging in your work., * A self-starter who can advance the platform security program and follow-through ideas to completion. * Experience with tools and services like AWS GuardDuty, Security Hub, EKS, OPA/Gatekeeper, Falco, Wiz, Datadog, Prisma Cloud, Orca, Upwind, Snyk, or similar. * Familiarity with software supply chain security, including SBOM generation, dependency vulnerability management, build provenance, and artifact signing. * Knowledge of infrastructure operations across databases, network, and system administration. * Effective use of AI tools as a force multiplier for engineering work, with judgment about when AI accelerates work versus when it creates rework. * Ability to communicate with different levels of leadership conveying risk and driving urgency for risk remediation. * Familiarity with zero trust principles and cloud-native access controls (e.g. IAM roles, service meshes). * Ability to mentor and train team members to prioritize security efforts effectively. * Hands-on experience implementing security tools into CI/CD pipelines. * Experience testing serverless cloud deployments. ## Description Features (responsibilities and goals) of our product platform security suite: (AKA - what you will be building and evolving along a rockstar team that learns from and pushes each other to do great things!) * Cloud Security and Guardrails : Enforce security posture across AWS, GCP, and Azure through preventative controls (SCPs, organization policies, IAM guardrails) and detective controls (Wiz, native cloud security services). Build detection patterns and escalation paths in partnership with incident response. Drive validation methodology and operational rigor across acquisitions and new environments. * Kubernetes Platform Security: Lead workload protection strategy across EKS clusters, including runtime monitoring, admission control, network policy, and secrets management. Drive sensor coverage validation, incident response readiness, and security guardrails that scale across the portfolio. * AI and Agentic System Security: Partner with product engineering on securing AI-powered features, MCP server implementations, and agentic workflows across the portfolio. Lead threat modeling for new AI surfaces, build guardrails and detection patterns for prompt injection and unauthorized tool use, and shape security standards as the company expands AI capabilities into customer-facing products. * Security Automation : Integrate automated scanning tools into CI/CD pipelines, implement IaC solutions, and drive automated remediation processes. * Mentorship & Collaboration : Work closely with product dev teams to provide feedback on secure coding practices, proactively guide them on risk remediation.