Lead Site Reliability Engineer - Network
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What you'll do
- 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
- Own reliability for mission-critical network services (availability, performance, recoverability), leading major incident response, and driving strong post-incident learning.
- Own problem management end-to-end: author/approve RCAs, identify systemic root causes, and deliver durable remediation that prevents repeat incidents.
- Architect and deliver automation using Python, Shell, and Ansible (self-healing where appropriate, automated remediation with guardrails, validation pipelines, and standardized tooling) to reduce toil and improve reliability.
- Provide deep technical leadership across SD-WAN/SDA/SDN, routing & switching, and network security/traffic services (firewalls, load balancers, proxies), partnering with platform teams on observability and embedding SRE practices (NFR targets, FMEA-style risk analysis, readiness reviews, resilience testing, and change safety).
- 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.
What they're looking for
- Formal training or certification on site reliability 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 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
- 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
Nice to have
- Extensive experience operating and engineering large-scale networks with strong troubleshooting depth.
- Proven leadership in major incidents, RCA, and delivery of long-term fixes that reduce repeat incidents.
- Advanced automation track record using Python, Shell, and Ansible, with demonstrated toil reduction and reliability gains.
- Strong applied understanding of SRE concepts, NFRs, and FMEA (or equivalent failure/risk analysis methods).
- Strong ownership mindset, stakeholder management, and ability to drive delivery independently.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
As a Lead Site Reliability Engineer at JPMorgan Chase within the Enterprise technology, Infrastructure Platforns 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
- Own reliability for mission-critical network services (availability, performance, recoverability), leading major incident response, and driving strong post-incident learning.
- Own problem management end-to-end: author/approve RCAs, identify systemic root causes, and deliver durable remediation that prevents repeat incidents.
- Architect and deliver automation using Python, Shell, and Ansible (self-healing where appropriate, automated remediation with guardrails, validation pipelines, and standardized tooling) to reduce toil and improve reliability.
- Provide deep technical leadership across SD-WAN/SDA/SDN, routing & switching, and network security/traffic services (firewalls, load balancers, proxies), partnering with platform teams on observability and embedding SRE practices (NFR targets, FMEA-style risk analysis, readiness reviews, resilience testing, and change safety).
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.
Formal training or certification on site reliability 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 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
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
- Extensive experience operating and engineering large-scale networks with strong troubleshooting depth.
- Proven leadership in major incidents, RCA, and delivery of long-term fixes that reduce repeat incidents.
- Advanced automation track record using Python, Shell, and Ansible, with demonstrated toil reduction and reliability gains.
- Strong applied understanding of SRE concepts, NFRs, and FMEA (or equivalent failure/risk analysis methods).
- Strong ownership mindset, stakeholder management, and ability to drive delivery independently.
Company
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