Lead SRE embedded with front-office trading teams to improve reliability, observability, and performance across low-latency, global trading platforms. Responsibilities include incident response, root cause analysis, coding reliability improvements (Java/Kotlin/Python), designing SRE patterns (automation, self-healing), observability, and partnering with infrastructure, cloud, and cybersecurity teams.
Our trading technology stack is undergoing a multi‑year convergence and modernization journey. You will play a pivotal role in shaping our next‑generation SRE patterns, reliability frameworks, observability strategy, and performance engineering capabilities across globally distributed systems. This role is ideal for an SRE specialist who thrives in fast‑paced front‑office environments, enjoys direct interaction with traders, and wants to influence the reliability culture of a major global trading organization.
As a Lead Site Reliability Engineer at JPMorgan Chase within J.P. Morgan Asset Management’s Trading Technology group, you will be embedded directly within the software engineering team that builds and supports our front‑office trading platforms.
Job Responsibilities:
- Engage daily with traders across asset classes (Equities, Fixed Income, FX) to understand workflows, pain points, and reliability priorities.
- Act as a trusted engineering partner to the desk, ensuring systems are stable, performant, and aligned with business needs.
- Support live trading environments, including incident response, root cause analysis, and post mortem leadership. Work as a core member of the software engineering team, participating in daily standups and design discussions.
- Contribute directly to the codebase (Java, Kotlin, Python) to implement reliability improvements, performance optimisations, bug fixes, and automation.
- Lead the design and rollout of modern SRE patterns across trading systems, including automated remediation, self healing workflows, and resilience engineering.
- 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.
- Drive improvements in latency, throughput, and stability across high volume trading applications.
- Build and maintain tooling for monitoring, alerting, and distributed tracing across global environments.
- Operate within a globally distributed engineering and trading organization, collaborating with teams in EMEA, US, and APAC.
- Partner with infrastructure, networking, cloud engineering, and cybersecurity teams to ensure end to end reliability.
Required Qualifications, Capabilities, and Skills:
- Strong hands on experience in front office trading environments or similarly high pressure, low latency domains.
- Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle DB
- 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.
- Deep knowledge of reliability engineering principles: SLIs/SLOs, real-time telemetry, disaster recovery planning, capacity planning, and performance tuning.
- Experience designing and implementing observability frameworks for mission critical systems.
- Proven ability to lead incident response and drive long term remediation.
- Solid programming skills in Python, Java, or Kotlin, with the ability to contribute production grade code. Experience with microservices, distributed systems, and event driven architectures.
- Strong understanding of CI/CD pipelines, automated testing, and deployment strategies.
- Comfortable interacting directly with traders and senior stakeholders. Excellent communication skills, especially when translating technical issues into business impact. Ability to operate calmly and decisively in high pressure situations.
- Strong leadership presence with a collaborative mindset.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
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