We are looking for aSecurity Engineerto build a security platformtosecure thefirm'susageofSaaS platforms. The platform willmonitorsecurity posture and threat signals from SaaS vendorsand apply various detection models to analyze the data. This platform willsupportreal-timeanalyticsandscale to the increasing demands of usage across the company.This is a hands-on role for an engineer who enjoys building high-scale, event-driven systems andapplying secure-by-designandtrustworthy computingprinciples into everything they ship.

Job Responsibilities

• BuildJava-based servicesthat ingest,validate, normalize, and enrich high-volume security telemetry from SaaS vendors (e.g., posture signals, audit/admin events).
• Design andoperateevent processing pipelineswith strong correctness properties (deduplication, idempotency, retries, replay/backfill, schema evolution).
• Develop platformauthentication and authorizationcapabilities (service identity, token lifecycle, least privilege, policy enforcement, audit logging).
• Partner with security and engineering teams to deliver actionable detections and posture insights, and to onboard new SaaS integrations efficiently.
• Drive operational excellence:observability, performance, reliability/SLOs, incident readiness, and automation.
• Establishes portfolio-level guardrails for AI-assisted workflows used in cybersecurity architecture and governance, ensuring traceability/auditability and alignment to security and resiliency expectations.
• Leads reuse-first adoption of enterprise-authorized AI capabilities within the work environment to accelerate cybersecurity architecture analysis, portfolio-level option evaluation, and delivery of strategic solutions, with human-in-the-loop validation and appropriate handling of sensitive data.

Required qualifications, capabilities, and skills

• Formal training or certification with 5+ years building production backend systems; strongproficiencyinJava.
• Experience buildingstreaming / event-drivenarchitectures at scale and handling large data volumes.
• Proventrack recorddevelopingsecure softwareend-to-end (secure coding, threat modeling, dependency hygiene, vulnerability remediation).
• Solid fundamentals indesigning/buildingsystemsthat are security focused (e.g.implementingauthentication/authorization,least privilege,and auditability).
• Strong ownership mindset and ability to collaborate across engineering and security stakeholders.
• Demonstrated experience leading safe adoption of enterprise-authorized AI capabilities within the work environment across cybersecurity architecture workflows, including validation practices and awareness of data sensitivity.
• Ability to assess and validate AI-assisted security recommendations and AI-enabled architecture patterns before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.

Preferred qualifications, capabilities, and skills

• Experience withauthentication servicesand modern identity patterns (OIDC/OAuth2 concepts, JWT handling,mTLS, key/cert rotation).
• Streaming platformexpertise(Kafka-like systems, consumer group patterns, DLQs, processing guarantees tradeoffs).
• SaaS vendor security integrations (audit log/admin APIs, rate limits, connector frameworks).
• Cloud infrastructure experience (containers, infrastructure-as-code) and secure deployment patterns.

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