Manager of Software Engineering - Java, Spark, AWS
Manager of Software Engineering - Java, Spark, AWS
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Job Description
This is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading financial institutions.
As a Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking - Data Tech space youlead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your teams work adheres to compliance standards business requirements and tactical best practices.
Job responsibilities
- Provides guidance to immediate team of software engineers on daily tasks and activities
- Sets the overall guidance and expectations for team output practices and collaboration
- Anticipates dependencies with other teams to deliver products and applications in line with business requirements
- Manages stakeholder relationships and the teams work in accordance with compliance standards service level agreements and business requirements
- Creates a culture of diversity equity inclusion and respect for the team members and prioritizes diverse representation
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience. In addition demonstrated coaching and mentoring experience.
- Experience leading technology projects and Experience managing technologists.
- Minimum 8 yrsproven experience in full-stack software development usingJava Spring based technologies in AWS / Cloud environment.
- Demonstrable success in leading and managing software engineering teams with a focus on individual growth and overall team performance.
- Proven experience with Apache Spark (batch and streaming) for large-scale data processing.
- Proven experience and strong knowledge of AWS services including S3 EC2 EMR ECS Lambda Glue Aurora DB SQS SNS Step function API Gateway.
- Expertise in Databricks and Snowflake for collaborative data engineering and analytics.
- Experience in Apace Iceberg for large scale analytics on Data lake.
- Experience with Terraform for provisioning securing and managing cloud infrastructure for data workloads.
- Good knowledge of data governance access controls data lineage and compliance standards for implementing secure data pipelines and handling sensitive information responsibly.
- Proficiency in tuning Spark jobs optimizing SQL queries on Snowflake and troubleshooting distributed systems.
Preferred qualifications capabilities and skills
- Experience with CI/CD pipelines for automated deployment. Implementing automated testing strategies including Unit Contract integrations and end to end tests.
- Knowledge in building scalable RESTful APIs using Spring Boot.
- Experience with PySpark for developing Spark-based data pipelines using Python.
- Experience integrating AI agents or automation frameworks to optimize data engineering tasks.
Required Experience:
Manager
Employment Type
Full-Time
