Security Engineer II -SAAS

JPMorganChase; Seattle (WA); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Security Engineer to build a high-scale security platform that analyzes SaaS posture signals and threat data.

You will design, implement, and operate event-driven services in Java, focusing on secure-by-design principles and auditability across enterprise workflows. The role requires hands-on work with streaming pipelines, authentication/authorization, and AI-assisted cybersecurity tooling, partnering across security and engineering teams to deliver robust

Qualifications

• 1–3 years building production backend systems.
• Strong proficiency in Java and secure coding practices.
• Experience with streaming/event-driven architectures at scale.
• Experience deploying secure software with threat modeling and vulnerability hygiene.
• Ability to own work across engineering and security stakeholders.

Responsibilities

• Build Java-based services to ingest and process high-volume security telemetry from SaaS vendors.
• Design and operate event processing pipelines with deduplication and retries.
• Develop platform authentication and authorization capabilities with audit logging.
• Collaborate with security and engineering teams to onboard new SaaS integrations.
• Improve observability, performance, reliability, and incident readiness.
• Establish guardrails for AI-assisted cybersecurity workflows with auditability.
• Lead safe adoption of enterprise‑authorized AI capabilities with human-in-the-loop validation.

Skills

Java

Event-driven

Secure coding

Threat modeling

Ownership mindset

Tools

Kafka

OAuth2/OIDC

JWT handling

Job description

Job Description

We are looking for a Security Engineer to build a security platform to secure the firm's usage of SaaS platforms. The platform will monitor security posture and threat signals from SaaS vendors and apply various detection models to analyze the data. This platform will support real-time analytics and scale 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 and applying secure‑by‑design and trustworthy computing principles into everything they ship.

Job Responsibilities

• Build Java‑based services that ingest, validate, normalize, and enrich high‑volume security telemetry from SaaS vendors (e.g., posture signals, audit/admin events).
• Design and operate event processing pipelines with strong correctness properties (deduplication, idempotency, retries, replay/backfill, 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 actionable detections and posture insights, and to onboard new SaaS integrations efficiently.
• Drive operational excellence: observability, performance, reliability/SLOs, incident readiness, and automation.
• Establish portfolio‑level guardrails for AI‑assisted workflows used in cybersecurity architecture and governance, ensuring traceability/auditability and alignment to security and resiliency expectations.
• Lead 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; strong proficiency in Java.
• Experience building streaming / event‑driven architectures at scale and handling large data volumes.
• Proven track record developing secure software end‑to‑end (secure coding, threat modeling, dependency hygiene, vulnerability remediation).
• Solid fundamentals in designing/building systems that are security focused (e.g. implementing authentication/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 with authentication services and modern identity patterns (OIDC/OAuth2 concepts, JWT handling, mTLS, key/cert rotation).
• Streaming platform expertise (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.

Equal Opportunity Employer

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.