Lead Site Reliability Engineer

Talentify; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Site Reliability Engineer to shape the future of reliability for a globally recognized firm within the Corporate & Investment Bank domain. The role emphasizes leadership across multiple technical domains and mentoring peers.

You will drive reliability initiatives, define SLIs/SLOs with stakeholders, and leverage enterprise AI capabilities to accelerate incident response and post-incident analysis while ensuring security and resiliency across platforms.

Qualifications

• Formal training or certification in site reliability concepts.
• 5+ years of applied SRE experience across multiple domains.
• Proficient in Python/Java/.Net and modern cloud architectures.

Responsibilities

• Models and champions SRE culture and practices within the organization.
• Leads initiatives to improve reliability and stability of apps and platforms.
• Defines service level objectives and error budgets with stakeholders.
• Utilizes enterprise AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis.
• Serves as main incident contact to quickly identify and resolve issues and minimize financial impact.
• Mentors other engineers and shares expertise across teams.
• Leads adoption of AI-assisted reliability workflows across SDLC and CI/CD pipelines.

Skills

SRE fundamentals

Programming: Python/Java/.Net

Observability

CI/CD tooling

AI-assisted SRE workflows

Education

Certified in SRE concepts

Tools

Kubernetes

CI/CD tools (Git/Jenkins/etc)

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 Site Reliability Engineer at JPMorgan Chase within the Corporate & Investment Bank (CIB) Management and Support Functions Digital & Platform Services 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.

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 site reliability engineering concepts and 5+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
• Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices
• Fluent in at least one programming language such as: Python, Java/Spring Boot, .Net
• 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

Preferred qualifications, capabilities, and skills

• 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