Jobshare - Sr Lead Software Engineer - Site Reliability Engineer, Python & Infrastructure management - Part time/Jobshare

Location: LONDON, LONDON, United Kingdom

This is an exciting opportunity where we’re exploring local Sr Lead Security Engineering talent who need flexibility, with the potential to present qualified candidates to managers for part-time or job-share roles. Part-time hours where two people share the responsibilities.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Bank – Markets – Commodities Technology, you hold a technical leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. You will will set the vision, strategy, and operating model for our SRE transformation—enabling our business-aligned support teams to deliver higher reliability, stronger resilience, and a measurably better end-user experience across the board. 

Job responsibilities

• Defines the SRE vision, north-star outcomes, and multi-year roadmap for the Production Management team, aligned to both CIB and JPM Global Technology priorities.

• Establishes the SRE operating model across global regions (ways of working, intake, prioritization, engagement with engineering teams and production support).

• Partners with business-aligned Production Support leads to embed SRE practices consistently and act as a force multiplier – coaching them on reliability thinking, prioritization, and “engineering out” operational load.

• Builds and develops a small, high-impact core SRE team (and/or virtual SRE community of practice) that scales reliability improvements across many application flows.

• Defines and implements standards for: Service cataloging, SLO/SLI frameworks and error budgets, incident response maturity, blameless post-incident reviews, resiliency patterns, capacity, performance, and scalability engineering.

• Drives service reviews with evidence-based reporting (availability, latency, incident trends, MTTR/MTTD, change failure rate, customer impact).

• Champions AI adoption and deliver AI-enabled capabilities to reduce operational toil and improve speed/quality of response.

• Sets direction for observability across logs/metrics/traces, including instrumentation standards, golden signals, and end-user journey monitoring. Improves alert quality and routing: reduce false positives, improve actionable alerts, and tighten feedback loops to engineering teams.

• Builds strong partnerships with application development teams, platform/infrastructure partners, and governance functions. Communicates clearly and credibly at all levels—from engineers to senior technology and business stakeholders.

• 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.

• 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

• 10+ years of experience in technology support, production/application support, DevOps, or infrastructure management.

• Demonstrated experience leading SRE/reliability engineering or production engineering transformations in a complex enterprise environment.

• Strong engineering background: ability to design, build, and deliver automation and reliability solutions.

• Fluency & expertise in Python

• Deep practical knowledge of: SLOs/SLIs, error budgets, incident management, postmortems, observability design across metrics/logs/traces and distributed systems troubleshooting, resilience engineering, performance/capacity management, and change risk reduction.

• Proficiency and experience with telemetry (logs/metrics/traces) collection using tools and standards such as Prometheus, Open Telemetry, Datadog, Dynatrace, Splunk.

• Experience delivering automation at scale (scripting, workflow automation, runbook automation, CI/CD-integrated guardrails).

• Proven leadership skills: influencing without authority, coaching leaders, and building communities of practice.

• Strong judgment around risk, security, and controls—especially when applying AI to production workflows.

• 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.

 

Preferred qualifications, capabilities, and skills

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

About the Organization

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Promote the future of a global firm, delivering high impact solutions in a performance setting for top reliability professionals.