Among information security analysts, AI is already used for a large share of the tasks. Measured exposure for information security analysts: 49% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Company Details

Company URL: https://www.berkleytechnologyservices.com/

Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC’s 60+ operating units across the globe. BTS’s wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.

Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand but proactively plan for the “ What’s Next ” in our industry and beyond.

With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future -- leaders who genuinely care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry leading technological solutions.

Berkley Technology Services: Right Team, Right Technology, Simple and Secure.

Responsibilities

The Cloud Security & Automation Engineer is a hands-on engineering role responsible for improving security across public cloud, hybrid, container, and cloud-native environments. The role owns the day-to-day engineering and operation of cloud exposure management capabilities, including platforms such as Wiz or Prisma Cloud, and converts prioritized risk into durable technical controls, automated workflows, and measurable remediation outcomes. The engineer will work closely with Vulnerability Management and AI Security Teams.

Cloud exposure management and platform ownership  Configure, administer, optimize, and troubleshoot cloud security and exposure management platforms such as Wiz or Prisma Cloud. Manage cloud account and subscription onboarding, connectors, permissions, policies, rules, integrations, dashboards, and platform health across Azure, AWS, and other in-scope cloud services.

CTEM operations and risk prioritization Support the continuous threat exposure management lifecycle by identifying and validating cloud exposures, analyzing attack paths and toxic combinations, prioritizing material risk, coordinating remediation with accountable teams, validating closure, and tracking exceptions. Translate platform findings into a focused, risk-based backlog rather than a high-volume queue of uncontextualized alerts.

Security automation and engineering Design and build reusable automation for cloud security operations using Python, PowerShell, REST APIs, JSON/YAML, workflow orchestration, serverless services, and Infrastructure as Code. Automate asset onboarding, policy deployment, enrichment, ticket routing, evidence collection, remediation validation, reporting, and other repeatable engineering tasks.

Cloud security architecture and guardrails Define and implement cloud security requirements, reference patterns, preventive guardrails, and detective controls for identity, network, workload, container, Kubernetes, data, secrets, logging, and configuration security. Contribute security requirements to cloud landing zones and platform engineering standards.

Cross-functional remediation and enablement Partner with Cloud, DevOps, Vulnerability Management, IAM, infrastructure, and application teams to assign ownership, develop practical remediation patterns, integrate controls into delivery workflows, and improve adoption of secure cloud practices.

AI security partnership Provide cloud security engineering for AI platforms and services, including secure architecture reviews, identity and non-human identity controls, secrets management, data-flow protection, logging and monitoring, exposure analysis, and automation. Help translate emerging AI security requirements into repeatable cloud controls and engineering patterns.

Metrics, governance, and continuous improvement Develop dashboards and operating metrics for cloud coverage, critical exposures, attack paths, remediation aging, exceptions, automation effectiveness, and control adoption. Use metrics to identify systemic issues and recommend improvements to architecture, tooling, and operating processes.

Incident support and technical escalation Provide cloud security expertise during investigations and incidents, including exposure validation, cloud configuration analysis, identity and access review, log analysis, containment support, and corrective-action engineering. Participate in senior escalation or Person in Charge coverage when assigned.

Standards, documentation, and knowledge sharing Create and maintain technical standards, standard operating procedures, runbooks, architecture diagrams, operational playbooks, and control documentation. Share knowledge through design reviews, demonstrations, and hands-on coaching.

Technical leadership and recruiting Lead technical workstreams, mentor engineers, review designs and automation, and contribute to resume reviews, technical interviews, and practical assessments for cloud security engineering roles.

Qualifications

Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Engineering or related discipline

5 or more years of experience in cloud security engineering, security engineering, DevSecOps, cloud platform engineering, or a related technical security role.

Hands-on experience securing and operating production environments in Microsoft Azure and/or Amazon Web Services; multi-cloud experience is preferred.

Hands-on experience with a CNAPP, CSPM, or cloud exposure management platform such as Wiz or Prisma Cloud, including policy configuration, findings analysis, integrations, reporting, and remediation workflows.

Demonstrated comfort using AI-assisted tools in a professional context; approaches AI as a standard part of modern workflow rather than a specialized or optional capability

Demonstrated experience prioritizing cloud risk using business context, exploitability, attack paths, asset criticality, identity exposure, network exposure, and data sensitivity.

Strong scripting and automation skills using Python and/or PowerShell, REST APIs, JSON/YAML, source control, and CI/CD practices.

Experience with Infrastructure as Code and policy-as-code technologies such as Terraform, Bicep, ARM templates, CloudFormation, Open Policy Agent, or equivalent controls.

Solid understanding of cloud identity and access management, non-human identities, least privilege, network security, workload and container security, secrets management, encryption, logging, monitoring, and incident response.

Ability to troubleshoot complex technical issues, communicate risk clearly, and drive remediation across teams without relying solely on direct authority.

Ability to produce clear technical documentation, operating metrics, and leadership-ready status or risk updates.

Preferred Qualifications

Experience designing or operating a formal CTEM program or exposure management operating model.

Experience integrating cloud security platforms with ServiceNow, Azure DevOps, Jira, SIEM/SOAR platforms, messaging platforms, data pipelines, or reporting tools.

Experience securing Kubernetes, containers, serverless services, CI/CD pipelines, software supply chains, and cloud-native application architectures.

Familiarity with AI/ML security, including AI service architecture, model and data access, agent or workload identities, prompt and data-flow risks, AI security posture management, and governance of AI-enabled services.

Working knowledge of cloud and security frameworks such as NIST CSF, NIST 800-53, CIS Benchmarks, CSA CCM, MITRE ATT&CK, OWASP, and relevant regulatory or audit requirements.

Relevant certifications such as CCSP, CISSP, CCSK, Microsoft Azure Security Engineer, AWS Certified Security - Specialty, or vendor platform certifications.

Ability to sit at a desk and work on a computer for extended periods of time.

Must occasionally lift and/or move up to ten pounds.

Vision abilities required by this job include close vision and the ability to adjust focus.

The Company is an equal employment opportunity employer.

Additional Company Details We do not accept unsolicited resumes from third party recruiting agencies or firms.

Additional Requirements • Base Salary Range: $107,000.00 - $198,000.00 • Eligible to participate in annual discretionary bonus • Benefits include: Health, dental, vision, dental, life, disability, wellness, paid time off, 401(k) and profit-sharing plans The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Sponsorship Details Sponsorship not Offered for this Role