JPMorgan Chase - Jersey City, NJ

posted about 2 months ago

Full-time
Jersey City, NJ
Credit Intermediation and Related Activities

About the position

You're ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Cloud Software Engineer III at JPMorgan Chase within the Corporate Sector, Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading 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. In this role, you will execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. You will create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. Additionally, you will produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. You will gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identifying hidden problems and patterns in data, you will use these insights to drive improvements to coding hygiene and system architecture. Furthermore, you will contribute to software engineering communities of practice and events that explore new and emerging technologies, while adding to the team culture of diversity, equity, inclusion, and respect.

Responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with the 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.

Requirements

  • Formal training or certification on software engineering concepts and 2 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, .Net, 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.

Nice-to-haves

  • 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.
  • 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.
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