Cybersecurity Engineer

Job description

We're hiring a mid senior cybersecurity engineering generalist (individual contributor) to join an established security team that has limited AI experience.

This hire will be the team's practical AI catalyst: applying AI/ML to improve current detection, remediation, DevSecOps, identity, and automation programs; piloting safe AI integrations; and mentoring colleagues to adopt and maintain AI enabled cyber outcomes.

Technologies: Terraform, GitHub Actions, CrowdStrike, Microsoft Sentinel, Zscaler, Azure AD, ServiceNow.

Candidate must be US work authorized.

Why this hire matters (catalyze AI adoption)

• Bring forward thinking, practical AI engineering into existing security programs to reduce risk faster and increase team effectiveness.


• Demonstrate measurable wins (reduced MTTR, fewer false positives, higher coverage) via pilots that the team can operationalize and scale.


• Lower adoption friction by producing reusable artifacts, runbooks, and training so the existing team can sustain AI integrations.


• Ensure responsible AI adoption with model governance, human in the loop controls, and clear rollback/audit procedures.

Core responsibilities (deliver and enable)

• Assess the team's current detection, response, DevSecOps, identity, and automation efforts; identify pragmatic AI opportunities that retrofit into live programs.


• Prioritize and execute AI pilots that show quick, measurable cyber value; document outcomes, safety controls, and operational runbooks for scaling.


• Build AI enabled detection and triage features that integrate CrowdStrike and Microsoft Sentinel telemetry to reduce analyst load and improve prioritization.


• Augment existing SOAR/ServiceNow runbooks with AI assisted enrichment and decisioning while keeping human oversight and audit trails.


• Improve DevSecOps programs by introducing AI assisted IaC checks, secure IaC templates (Terraform), and GitHub Actions automations to prevent misconfigurations.


• Advance Zero Trust and identity engineering (Zscaler, Azure AD) using AI to spotlight risky access patterns and suggest conditional access refinements.


• Produce production ready engineering artifacts Terraform modules, Sentinel analytics, ServiceNow runbooks, GitHub Action snippets, and test harnesses that integrate smoothly into current processes.


• Coach and mentor team members: run brown bags, create playbooks, perform pair programming, and help teammates operate and maintain AI features.


• Maintain rigorous model governance and security controls for AI use: data lineage, access controls, monitoring, explainability, test datasets, and rollback procedures.


• Measure and report security outcomes: MTTR, detection accuracy, analyst time saved, incident volume changes, and coverage improvements.


• Act as an internal advocate for pragmatic AI: balance innovation with safety, compliance, and operational sustainability.

Should have profile (skills + disposition)

• 5 10 years hands on cybersecurity engineering experience delivering production solutions across detection, automation, DevSecOps, identity, or endpoint areas.


• Demonstrated ability to introduce and integrate AI/ML into live security programs with measurable improvements.


• Strong Terraform and GitHub Actions experience for IaC and pipeline security; able to produce reusable modules and CI integrations.


• Operational experience with CrowdStrike telemetry and Microsoft Sentinel analytics/playbooks.


• Experience building ServiceNow/SOAR automations and integrating runbooks with detection tooling.


• Experience with Zero Trust controls (Zscaler, Azure AD conditional access).


• Production scripting/programming skills (Python preferred) and experience deploying automation to live environments with rollback and auditability.


• Strong communicator, educator, and collaborator comfortable mentoring less experienced teammates and producing clear documentation and training artifacts.


• Systems thinker with a pragmatic, risk based approach to prioritization and delivery.

Recruiter screening checklist (team-catalyst focus)

• Request a concrete example where the candidate introduced AI into a team that was new to AI: pilot goals, integration steps, safety controls, team enablement, and measurable outcomes.


• Confirm examples of artifacts the candidate can hand off to an existing team (runbooks, scripts, Sentinel rules, Terraform modules, ServiceNow workflows).


• Probe for teaching/mentoring experience: workshops, onboarding, pair programming, or brown bags delivered to uplift teammates.


• Verify ability to run safe pilots: how they validated models, implemented human in the loop controls, and ensured traceability/auditability.


• Evaluate cultural fit: willingness to work as an IC, build consensus, and drive change incrementally.

Join Our Team at Atlas

Atlas is a global strategic consulting firm, focused on the Life Sciences industry.

Our services include Management Consulting, Managed Services and Agile Services.

Global pharmaceutical companies and emerging players in life sciences depend on Atlas consultants to ensure they have the capabilities that will give them the ability to succeed.

We are seeking Atlas IMPACT Makers who are ready to lead and innovate in dynamic environments.

IMPACT Makers embody the principles of Atlas, driving transformative change and delivering outstanding results.





We are an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, genetics, disability, age, or veteran status.

We value diversity and inclusion in our workplace and are committed to creating an environment where everyone has an equal opportunity to succeed

Required Skill Profession

Architecture And Engineering