Lead Software Engineer - Java, AWS, kdb+
Lead Software Engineer - Java, AWS, kdb+
JP Morgan Chase & Co.Fresher
- Posted 18 hours ago
- Be among the first 10 applicants
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank , you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank , you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Work across entire software development lifecycle: requirements gathering, design, implementation, testing, deployment and handover to support teams.
- Join the cloud adoption journey.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Manage requirements, specifications, and design documents
- Handle release and stakeholder management
- Involve in L3 support for Production environments
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong analytical development skills, solid understanding of computer science fundamentals. Strong development experience in Java and public cloud offering
- Comfortable working with Linux based environments and having good knowledge of Unix/Linux commands and shell scripting
- A strong passion for infrastructure as code and associated automation and provisioning tools like Terraform, Ansible etc.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations experience coaching engineers on safe, compliant adoption within delivery practices
- Good understanding of CI/CD pipeline build, improvement and management
- Experience with GIT, Jira, Confluence, Wiki. Excellent verbal & written communication skills
- Experience working in a team with a strong software development process (build, test, deploy)
Preferred qualifications, capabilities, and skills
- Knowledge of KDB/q is a plus.
- Preferred experience in Cloud Infrastructure and related technologies
- Good understanding of FIX and other financial messaging protocols is preferred
More Info
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About Company
Skills:
Java, Reactjs, Springboot, Agile Methodologies, Angular, Python, Software Development Life Cycle, Event driven development, CI/CD, Cloud native applications, AI-assisted software development tools, Security, Application Resiliency
Skills:
S3, RDS, PostgreSQL, Dynamodb, Kafka, Spring Boot, Spring MVC, Kinesis, Sqs, Sns, Spring Security, Java 11, Step Functions, ElastiCache, MSK, Aurora, AI-assisted software development tools