Platform Identity Engineer Jobs

1 job found

Today

Lead Software Engineer- Platform Identity

JPMorganChase Jersey City, NJ

Jersey City, NJ

Today

$157k - $215k/yr Full time Backend Developer Manager Senior

Apply Now

Job Description

JPMorganChase is hiring a Lead Software Engineer to lead Platform Identity Engineering and build always-on identity capabilities used across the firm.

Responsibilities

Design, build, and operate identity platform services and APIs across the portfolio, from architecture through production
Drive reliability and stability improvements using data-driven analytics to identify and resolve technology bottlenecks in areas of expertise
Partner with stakeholders to define service level indicators, establish service level objectives, and set error budgets
Build and maintain CI/CD, infrastructure-as-code, and deployment tooling powering the platform
Plan for scale and resilience across regions, including capacity, failover, and disaster recovery
Use enterprise-authorized AI capabilities to accelerate major-incident triage, troubleshooting, and post-incident analysis, including validation of outputs and safe handling of operational data based on sensitivity and security requirements
Act as the primary point of contact during major incidents for the application
Collaborate with security and platform teams to maintain identity services that are safe, compliant, and well-governed
Provide high-level technical expertise in one or more domains, including guidance and mentorship for other engineers
Lead reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (CI/CD quality checks, test/validation automation, operational readiness), ensuring traceability/auditability and security controls
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support)
Establish consistent validation standards (secure coding, peer review, automated testing) and promote reuse of effective patterns
Apply tools within the SDLC toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value delivered by automation

Requirements

5+ years of applied software engineering experience and formal training or certification on software engineering concepts
Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices
Proven experience designing and building production services and APIs, with clean, maintainable code, and fluency in at least one language such as Python, Java/Spring-Boot, or Go
Proficient with automation and infrastructure-as-code (Terraform or similar templating language)
Demonstrated experience using enterprise-authorized AI capabilities to improve SRE workflows (incident investigation support and knowledge capture)
Proficient with observability, including SLO alerting and telemetry collection (e.g., CloudWatch, Prometheus, Grafana, Tempo)
Proficient with CI/CD practices and tooling
Experience troubleshooting common networking technologies and issues
Demonstrated experience leading effective use of approved AI-assisted software development tools (coding, code review, test acceleration, troubleshooting), including setting team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs/outputs, with coaching experience for safe, compliant adoption in delivery practices

Preferred Qualifications, Capabilities, and Skills

Experience with modern authentication and federation protocols (token- and assertion-based)
Broader IAM knowledge: auth models, certificate and key registration and rotation, onboarding, and least privilege
Familiarity with directory services and enterprise access platforms
Experience with federated identity across firm and public-cloud providers
PKI knowledge (x509, mTLS, signing-key management and rotation)
Experience running regulated or high-availability systems, including DR and multi-region resilience
Proficient with containers and container orchestration (e.g., Kubernetes)

Tech Stack

AWS, Entra, Google Cloud
Python, Java/Spring-Boot, Go
Terraform
CloudWatch, Prometheus, Grafana, Tempo
CI/CD, infrastructure-as-code, CI/CD quality checks
Kubernetes
token- and assertion-based, x509, mTLS

Location & Compensation

Jersey City, NJ (onsite)
USD 156,750 - 215,000 per year

View full job page →

Get Platform Identity Engineer Jobs alerts

New Platform Identity Engineer Jobs, daily.