Lead Software Engineer - Market Risk Technology SRE

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City is seeking a Lead Engineer for the Market Risk Technology SRE team to drive reliability, mentor engineers, and lead resiliency initiatives across complex applications.

You will design resiliency reviews, define SLIs/SLOs, and champion AI-assisted incident triage while promoting reusable reliability workflows, security, and operational readiness.

Qualifications

• Formal training or certification in engineering concepts with 5+ years of applied experience.
• Demonstrated reliability, scalability, performance, security, and enterprise architecture knowledge.
• Fluent in Python programming language.
• Experience using enterprise AI capabilities to improve SRE workflows with validation and data sensitivity awareness.
• Ability to evaluate AI recommendations for correctness and risk and set guardrails.
• Proficient in observability, SLO/alerting, and telemetry collection.
• Proficient with CI/CD practices and tooling.
• Proficient with container orchestration.
• Experience troubleshooting networking technologies.
• Advanced self-education to evaluate new technologies.

Responsibilities

• Consistently models site reliability culture and shares knowledge within the organization.
• Leads initiatives to improve reliability using data-driven analytics and bottleneck resolution.
• Drives collaboration to establish SLIs, SLOs, and error budgets with stakeholders.
• Uses enterprise AI capabilities to accelerate major-incident triage and post-incident analysis.
• Serves as main contact during major incidents to minimize financial impact.
• Offers technical expertise and mentorship to engineers.
• Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain.

Skills

Python

Reliability engineering

Observability

CI/CD

Container orchestration

AI-assisted SRE

Networking troubleshooting

Education

Engineering certification

Tools

Prometheus

Grafana

OpenTelemetry

CI/CD tooling

Job description

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