Lead Software Engineer [Multiple Positions Available]

DESCRIPTION:

Duties: Work closely with data science teams to build features that leverage data insights.

Work with product owners on requirements, build, and deliver software based on the emerging fraud trends for the business.

Utilize knowledge of cloud technologies and business acumen to understand the business requirements.

Incorporate real-time data processing and analytics.

Mentor and guide junior team members to enhance their technical skills and understanding of best practices.

Assist with design reviews by recommending ways to incorporate requirements into designs and information or data flows.

Participate in code reviews to ensure solutions are aligned to pre-defined architectural specifications.

Design, prototype, and implement software solutions with a focus on Risk and Fraud Detection.

Participate in the Software Development Lifecycle (SDLC) including analyzing requirements, incorporating architectural standards into application design specifications, documenting application specifications, translating technical requirements into programmed application modules, and developing or enhancing software application modules.

Identify or troubleshoot application code-related issues.

Participate in project planning sessions with project managers, business analysts, and team members to analyze business requirements and outline proposed solutions.

Up to 10% domestic travel to JPMC sites.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Computer Science and Engineering, or related field of study plus three (3) years of experience in the job offered or as Software Engineer, or related occupation.

Skills Required: This position requires three (3) years of experience in the following: designing, prototyping, and implementing scalable, resilient, and highly available cloud microservices with a focus on risk and fraud detection on AWS; utilizing a wide range of AWS services, including EC2, EKS, Lambda, SNS, SQS, DynamoDB, S3, AuroraDB, and Gluejob to build and deliver software solutions; Identifying and troubleshooting application code-related issues across all environments, utilizing tools including Datadog and Splunk for monitoring and analysis; developing software utilizing Java, Python, Spring Boot, and RESTful APIs to create high-throughput and high-availability cloud anti- fraud services; designing, developing, and optimizing cloud infrastructure using AWS DynamoDB, AWS AuroraDB, Cassandra, Redis; implementing CI/CD pipelines using Jenkins, Terraform, Docker, and Kubernetes to automate deployment processes; performing automated testing, functional testing, manual testing, performance testing, unit testing, user acceptance testing, and chaos testing to ensure software quality and reliability; utilizing Agile SDLC, data architecture disciplines.

This position requires two (2) years of experience in the following: incorporating Apache Flink and creating Flink job applications for financial data events from stream...