Lead Software Engineer - Active Directory

JPMORGAN CHASE BANK, N.A.

Singapore

On-site

SGD 140,000 - 250,000

Full time

10 days ago
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Job summary

JPMorgan Chase Bank, N.A. in Singapore seeks a Lead Software Engineer within the Chief Technology Office, Identity & Access Management Team.

You will lead a multi-disciplinary group, applying deep technical and business insight to advance reliability, security, and performance. In this role you will drive resiliency design reviews, decompose complex problems for engineers, mentor peers, and act as technical lead for medium-to-large products.

Qualifications

  • Bachelor's degree in CS, cybersecurity, data science, or related field.
  • 5+ years of software engineering experience.
  • Proficiency in reliability, scalability, performance, security, and enterprise architecture.
  • Fluent in Python, Java/Spring Boot, .Net, Powershell.
  • Experience using enterprise AI capabilities to improve SRE workflows.
  • Ability to evaluate AI recommendations for correctness and risk.
  • Observability expertise: monitoring, SLOs, telemetry.
  • CI/CD, automation tooling, and container deployment experience.
  • Networking troubleshooting experience.

Responsibilities

  • Champions site reliability culture and documents knowledge.
  • Leads initiatives to improve reliability using data-driven analytics to improve service levels.
  • Drives collaboration to establish service level indicators and SLOs with stakeholders.
  • Uses enterprise AI capabilities to accelerate incident triage and post-incident analysis.
  • Serves as main contact during major incidents and helps minimize financial impact.
  • Mentors engineers and promotes AI-assisted reliability workflows across SDLC/toolchain.

Skills

Python
Java/Spring Boot
.Net
Powershell
CI/CD
Observability
AI-assisted SRE workflows

Education

Bachelor's Degree in Computer Science, Cybersecurity, Data Science, or related disciplines

Tools

Splunk
Grafana
Databricks
Netcool

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 Software Engineer at JPMorgan Chase within the Chief Technology Office, Identity & Access Management 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
  • 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 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 (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
  • 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
Preferred qualifications, capabilities, and skills
  • Deep expertise in Identity and Access Management (IAM), including Microsoft ADFS and Active Directory, complemented by strong knowledge of the Microsoft ecosystem, Linux environments, and proxy technologies
  • Use of monitoring and telemetry tools like Splunk, Grafana, Databricks, Netcool
  • Experience managing large environments and change controlled deployments.
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