Senior SRE Lead — AI-Driven Reliability & IAM

re-zoo-me; Singapore; Hybrid; SGD 180,000 - 290,000; Full time

Job summary

J.P. Morgan is seeking a Lead Software Engineer to define the future of site reliability within the Chief Technology Office, Identity & Access Management Team. You will lead engineering efforts, guide multiple technical domains, and mentor peers while shaping resiliency design reviews.

You will drive incident triage, SLA objectives, and implement AI-enabled reliability workflows across the SDLC, ensuring security and auditability in complex, enterprise environments.

Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Data Science, or related disciplines.
• Formal training or certification on Software 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, Powershell.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows 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.
• Demonstrated expertise in CI/CD practices, automation tooling, and containerized application deployment and orchestration platforms.
• 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.

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.

Skills

Python

Java/Spring Boot

.Net

Powershell

SRE practices

Observability

CI/CD

Containerization

Education

Bachelor's Degree in Computer Science or related

Tools

Kubernetes

Terraform

Splunk

Grafana

Databricks

Netcool

Job description

J.P. Morgan is seeking a Lead Software Engineer to define the future of site reliability within the Chief Technology Office, Identity & Access Management Team. You will lead engineering efforts, guide multiple technical domains, and mentor peers while shaping resiliency design reviews.

You will drive incident triage, SLA objectives, and implement AI-enabled reliability workflows across the SDLC, ensuring security and auditability in complex, enterprise environments.