As a Software Engineer III at JPMorgan Chase within the Corporate Technology Fraud Risk team, your role involves being a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading fraud risk technology products. Your responsibility extends to ensuring these products are secure, stable, and scalable. You will also be instrumental in implementing critical technology solutions across multiple technical areas within various business functions, all 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.