Fraud Risk Software Engineer III

JobID: 210533111

Category: Software Engineering

JobSchedule: Full time

Posted Date: 2024-07-02T22:13:22+00:00

JobShift:

Base Pay/Salary: Jersey City,NJ $128,250.00-$180,000.00

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Corporate Technology Fraud Risk team. You serve as a seasoned member of an agile team to design and deliver trusted market-leading fraud risk technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform

• Fluency in at least one programming language such as (e.g., Python, Java Spring Boot)

• Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.

• Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.)

• Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)

• Experience with at least two AWS services (EKS, ECS, EMR, DynamoDB, S3)

• Ability to identify and solve problems related to complex data structures and algorithms.

• Drive to self-educate and evaluate new technology.

• Hands-on practical experience in system design, application development, testing, and operational stability

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies

• Querying experience, preferably SQL, spark, Scala

• General knowledge of financial services industry

• Ability to drive postmortems and do root cause analysis to find long term solutions for production incidents.