Lead Platform Site Reliability Engineer

JPMORGAN CHASE BANK, N.A.

Singapore

On-site

SGD 180,000 - 260,000

Full time

11 days ago

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Job summary

JPMorgan Chase Bank, N.A. in Singapore seeks a Lead Site Reliability Engineer to shape the future of a globally recognized firm within Infrastructure Platforms.

You will lead a team, apply deep expertise, and mentor engineers while driving reliability across critical applications and platforms. The role emphasizes resiliency design reviews, breaking down complex problems, guiding medium to large products, and leveraging AI-enabled capabilities to accelerate incident response and post-incident

Qualifications

  • Bachelor's degree in computer science, cybersecurity, data science, or related disciplines.
  • Formal training or certification on site reliability engineering concepts and 5+ years applied experience.
  • Deep proficiency in reliability, scalability, performance, security, and enterprise system architecture.

Responsibilities

  • Champions site reliability culture and practices within the team.
  • Leads initiatives to improve reliability and stability using data-driven analytics.
  • Collaborates to define service level indicators and objectives with customers.
  • Demonstrates expert technical knowledge and resolves bottlenecks in areas of expertise.
  • Acts as main incident contact to rapidly diagnose and resolve issues to prevent losses.
  • Documents and shares knowledge via internal forums and communities of practice.
  • Leads AI-enabled reliability workflows across SDLC/toolchain practices with traceability and security controls.

Skills

Programming languages
Observability tools
CI/CD tooling
Container orchestration
Networking basics
SRE best practices
Mentoring
AI capabilities in SRE
Security & resiliency

Education

Bachelor's Degree in CS/related
SRE concepts certification/training

Tools

Grafana
Dynatrace
Prometheus
Datadog
Splunk
Jenkins
GitLab
Terraform
Kubernetes
Docker
ECS

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 Infrastructure Platforms, 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
  • Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
  • Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels
  • Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
  • Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
  • Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses
  • Documents and shares knowledge within your organization via internal forums and communities of practice
  • 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
  • Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
  • Formal training or certification on site reliability engineering concepts and 5+ years applied experience
  • Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform
  • Fluency in at least one programming language such as (e.g., Python, Java Spring Boot, .Net, etc.) and possesses deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines
  • Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
  • Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) and experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
  • Experience with troubleshooting common networking technologies and issues
  • Ability to identify and solve problems related to complex data structures and algorithms
  • Demonstrates a strong commitment to continuous learning and emerging technologies, with the ability to mentor team members on new programming languages while effectively collaborating and influencing stakeholders across all levels of the organization.
  • 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.
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