Security Engineer II -SAAS

JPMorgan Chase & Co.; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is hiring a Security Engineer to build a scalable security platform for SaaS usage, delivering real-time analytics and robust security controls.

The role focuses on high-scale, event-driven systems, secure-by-design principles, and secure authentication/authorization, with close collaboration across security and engineering teams to implement AI-enabled governance and auditability.

Qualifications

• Formal training or certification in backend security
• Evidence of designing/building production backend systems with security in mind
• Experience implementing secure software practices and threat modeling

Responsibilities

• Build Java-based services that ingest, validate, normalize, and enrich high-volume security telemetry from SaaS vendors.
• Design and operate event processing pipelines with deduplication, idempotency, retries, and schema evolution.
• Develop platform authentication and authorization capabilities (service identity, token lifecycle, least privilege, policy enforcement, audit logging).
• Partner with security and engineering teams to deliver detections and posture insights and onboard new SaaS integrations efficiently.
• Drive operational excellence: observability, performance, reliability/SLOs, and automation.

Skills

Java

Event-driven

Security engineering

Ownership mindset

AI governance awareness

Education

Formal training or certification in backend security

Tools

Kafka

DLQs

OIDC

OAuth2

mTLS

Job description

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 1-3 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.