Software Security Engineer III - Full Stack Developer

JPMORGAN CHASE BANK, N.A.; Singapore; On-site; SGD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase Bank, N.A. in Singapore seeks an experienced Security Engineer III to join the Cybersecurity & Technology Controls team.

You will deliver secure software solutions aligned with functional requirements and regulatory expectations, focusing on preventing misuse and mitigating threats. You will design, implement, and troubleshoot security-critical code, leverage enterprise AI capabilities, and collaborate with engineers to strengthen platform resilience, incident response, and data

Qualifications

• Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines.
• Formal training or certification on software engineering concepts and 3+ years’ applied experience.
• Hands-on practical experience in application development, testing, and operational stability.
• Experience using enterprise-authorized AI capabilities to support security engineering workflows with validation and data sensitivity awareness.
• Ability to review and validate AI-assisted code/security recommendations before use.
• Proficient in Python or Java/Spring Boot and comfortable in a corporate environment.
• Strong knowledge of agile methodologies (CI/CD, resiliency, security).
• Strong problem-solving and communication skills.

Responsibilities

• Execute software solutions, design, development, and troubleshooting applications.
• Writes secure and high-quality code using the syntax of at least one programming language and addresses basic code quality issues.
• Identify hidden problems in data and drive improvements to coding hygiene and system architecture.
• Use enterprise-authorized AI capabilities within the work environment to accelerate security analysis and vulnerability assessment documentation.
• Applies reuse-first, AI-assisted practices within SDLC/toolchain routines to strengthen security testing and control validation.
• Respond to incidents, assist in troubleshooting, and implement fixes to restore platform stability.
• Collaborate with other engineers and teams to enhance platform performance, reliability, and resiliency.
• Actively applies automation to reduce manual toil in the Software Development Life Cycle
• Ensure compliance with security, internal controls, and regulatory standards.

Skills

Programming (Python/Java-Spring Boot)

Agile methodologies

Problem solving

Communication

Security engineering workflows

Data sensitivity awareness

Education

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

Tools

AWS

Kubernetes

Splunk

Grafana

CI/CD tooling

Job description

Your seniority as a security engineer puts you in the ranks of the top talent in your field. Play a critical role at one of the world's most iconic financial institutions where security is vital.

As a Security Engineer III at JPMorgan Chase within the Cybersecurity & Technology Controls, you serve as a seasoned member of a team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Carry out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions in support of the firm’s business objectives,

Job responsibilities:

• Execute software solutions, design, development, and technical troubleshooting applications, thinking beyond routine approaches to solve technical problems.
• Writes secure and high-quality code using the syntax of at least one programming language and addresses basic code quality issues.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate security analysis and vulnerability assessment documentation, validating outputs and ensuring sensitive data is handled appropriately.
• Applies reuse-first, AI-assisted practices within SDLC/toolchain routines to strengthen security testing and control validation, ensuring traceability/auditability and alignment to resiliency and security expectations.
• Respond to incidents, assist in troubleshooting, and implement fixes to restore platform stability.
• Collaborate with other engineers and teams to enhance platform performance, reliability, and resiliency.
• Actively applies automation to reduce manual toil in the Software Development Life Cycle
• Ensure compliance with security, internal controls, and regulatory standards.

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 3+ years’ applied experience.
• Hands-on practical experience in application development, testing, and operational stability
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support security engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted code/security recommendations before use, escalating when uncertain and following security and data handling requirements.
• Proficient in coding in one or more modern programming languages (Python, Java/Spring Boot, etc.) and experience developing, debugging, and maintaining code in a corporate environment
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline
• Basic knowledge of industry-wide technology trends, security protocols, cryptography, authentication, authorization, and security
• Knowledge of industry-wide technology trends and best practices
• Strong problem-solving and communication skills.

Preferred qualifications, capabilities, and skills

• Observability Tools (e.g. Splunk, Grafana)
• Data Streaming Frameworks
• AWS services and Infrastructure as Code (IaC)
• Kubernetes