Manager of Software Engineering - Java, Spark, AWS

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking - Data Tech space, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team's 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 team's 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 yrs proven experience in full-stack software development, using Java, 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 eng...