Lead Software Engineer - Active Directory
JPMorgan Chase · Singapore · 27d ago
Staff / Lead / PrincipalOn-siteSoftware Engineering
The Chief Technology Office oversees enabling components inclusive of the top quality engineering and architecture tools and practices, key program management and processes as well as the technology workforce strategy required to make us a leading technology company for our customers, clients and colleagues around the world.
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.
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
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.