JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Market Risk Technology, Site Reliability Engineering

Site Reliability EngineeringConfirmed live in the last 24 hours

Full-timeJersey City, NJ, USA$156.8k - $215kIn-person

About the Job

Requirements

Formal training or certification in engineering concepts and at least 5 years of applied experience.
Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices.
Fluency in Python programming.
Experience using enterprise-authorized AI capabilities to improve site reliability workflows, including incident investigation support and knowledge capture, with strong validation habits and awareness of data sensitivity.
Ability to evaluate AI-assisted operational recommendations for correctness and risk, define guardrails for team usage, and ensure outcomes align with resiliency and security expectations.
Proficient knowledge and experience in observability, including white- and black-box monitoring, service level objective alerting, and telemetry collection.
Proficiency with continuous integration and continuous delivery practices and tooling.
Proficiency with containers and container orchestration.
Experience troubleshooting common networking technologies and issues.
Advanced knowledge of software applications and technical processes, with emerging depth in one or more technical disciplines, and ability to self-educate to evaluate and recommend suitable new technologies.

Responsibilities

Model and champion site reliability culture and practices, and document and share knowledge within the organization through internal forums and communities of practice.
Lead initiatives to improve the reliability and stability of the team’s applications and platforms using data-driven analytics, and proactively identify and solve technology-related bottlenecks in areas of expertise.
Collaborate with the team to identify comprehensive service level indicators and work with stakeholder partners to establish reasonable service level objectives and error budgets with customers.
Use enterprise-authorized AI capabilities to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
Serve as the main point of contact during major incidents for the application and quickly identify and solve issues to avoid financial loss to the business.
Provide technical expertise in one or more technical domains, and advise and mentor other engineers.
Lead reuse-first adoption of AI-assisted reliability workflows across software development lifecycle and toolchain practices, including continuous integration and continuous delivery quality checks, test and validation automation, and operational readiness, ensuring traceability, auditability, resiliency, and security controls.
Conduct resiliency design reviews, break complex problems into manageable work for other engineers, and act as a technical lead for medium- to large-sized products.

Desired Qualifications

Familiarity with observability and monitoring tools such as Prometheus, Grafana, or OpenTelemetry.
Familiarity with cloud technologies such as AWS or GCP, including deployment, management, and optimization of cloud-based applications.
Experience working in the financial or fintech industry.

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

As a Lead Engineer at JPMorgan Chase within the Market Risk Technology SRE team, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. Take lead and conduct resiliency design reviews, break up complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers.

Job responsibilities

Consistently models and champions site reliability culture and practices, documents and shares knowledge within your organization via internal forums and communities of practice
Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels, proactively identifying and solving technology-related bottlenecks in areas of expertise
Drives collaboration with your team to identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers
Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
Serves as the main point of contact during major incidents for your application and has the skills to identify and solve the issue quickly to avoid financial loss to the business
Offers a high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers
Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

Formal training or certification on engineering concepts and 5+ years applied experience
Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices
Fluent in Python programming language
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.
Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.
Proficient knowledge and experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection
Proficient with continuous integration and continuous delivery practices and tooling
Proficient with container and container orchestration
Experience with troubleshooting common networking technologies and issues
Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines, and actively self-educates to evaluate and recommend suitable new technologies

Preferred qualifications, capabilities, and skills

Familiarity with observability and monitoring tools such as Prometheus, Grafana, or OpenTelemetry
Familiarity with cloud technologies such as AWS or GCP, including deployment, management, and optimization of cloud-based applications
Experience working in the financial/fintech industry

Base Pay/Salary: Jersey City,NJ $156,750.00-$215,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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