Lead Software Engineer AWS/Java

JPMorgan Chase & Co.

Kentucky

On-site

USD 120,000 - 140,000

Full time

14 days+

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Job summary

A leading global financial services firm is seeking a Lead Software Engineer to join their Corporate Sector - Employee Data Platform team. The successful candidate will be responsible for developing secure, high-quality software solutions while enhancing technology products in an agile environment. Candidates should have over 5 years of experience, particularly in building data pipelines with Apache Spark and AWS services. This role offers an opportunity to innovate within technology while promoting a culture of diversity and inclusion.

Qualifications

  • 5+ years of applied experience in software engineering.
  • Hands-on experience with automation and continuous delivery.
  • Advanced understanding of security and application resiliency.

Responsibilities

  • Develop and debug secure high-quality production code.
  • Identify opportunities to automate recurring issues for operational stability.
  • Lead evaluation sessions with vendors and internal teams.

Skills

Data pipeline construction using Apache Spark
Proficiency in Python
Knowledge of Terraform
Advanced in Java
Experience with CI/CD
Proficiency in AWS Cloud services

Education

Formal training or certification in software engineering

Tools

AWS EMR
Databricks
Terraform

Job description

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector - Employee Data Platform (Palmos) Group, youare 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
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineer concepts and 5+ years applied experience
  • Experience in building data pipelines using Apache Spark, with proficiency in Scala, Python, utilizing platforms such as AWS EMR or Databricks
  • Hands-on experience with IaC tools like Terraform
  • Knowledge of open table formats such as Iceberg and Delta Lake, along with expertise in AWS Glue Data Catalog and fine-grained access control.
  • Advanced in one or more programming language(s) (Python, Java, etc.)
  • Proficiency in automation and continuous delivery methods
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
  • Extensive hands-on experience with AWS Cloud services including S3, IAM, EMR, Glue, ECS/EKS, and Athena.
  • Certifications in AWS, Databricks, and Terraform are highly desirable.
  • 3+ years of experience implementing data pipelines using Databricks, including tools such as Unity Catalog, Databricks Workflows, and Databricks Live Table, along with experience
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