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Senior Manager of Software Engineering - Java/Python/Databricks/AWS

JP Morgan Chase

Software and Technology Jobs

Senior Manager of Software Engineering - Java/Python/Databricks/AWS

full-timePosted: Sep 24, 2025

Job Description

Senior Manager of Software Engineering - Java/Python/Databricks/AWS

Location: Wilmington, DE, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Finance Tech team plays a pivotal role in powering the bank's global operations through cutting-edge technology. As a Senior Manager of Software Engineering - Java/Python/Databricks/AWS, you will lead a talented team in Wilmington, DE, to develop and maintain sophisticated software solutions that drive financial analytics, risk assessment, and operational efficiency. This role offers the chance to impact high-stakes projects in a dynamic environment where your expertise in cloud-native technologies will directly contribute to the bank's competitive edge in the financial services industry. You will work on initiatives that handle petabytes of sensitive data, ensuring seamless integration with core banking systems while upholding the highest standards of security and compliance. In this leadership position, you will architect scalable applications using Java and Python, leverage Databricks for advanced data processing, and harness AWS services to build resilient, cost-effective infrastructures. Collaborating closely with finance executives, data scientists, and compliance teams, you will translate complex business needs into innovative tech strategies that enhance decision-making and mitigate risks. Your responsibilities will include overseeing the full software development lifecycle, from ideation to deployment, in an agile framework tailored to JP Morgan's fast-paced demands. This is an opportunity to mentor emerging talent and drive technological transformation in a firm renowned for its commitment to ethical innovation and client trust. Joining JP Morgan Chase means becoming part of a world-class organization that values diversity, inclusion, and professional growth. We offer unparalleled resources for career advancement, including exposure to global projects and partnerships with industry leaders. If you are a seasoned engineer passionate about applying your skills to real-world financial challenges, this role will allow you to make a lasting impact while enjoying a supportive, high-reward culture.

Key Responsibilities

  • Lead the design, development, and deployment of software solutions using Java, Python, Databricks, and AWS to support JP Morgan Chase's finance technology initiatives
  • Collaborate with finance stakeholders to translate business requirements into robust, scalable technical architectures
  • Mentor and manage a team of software engineers, fostering a culture of innovation and continuous improvement
  • Ensure all solutions adhere to JP Morgan's stringent security, compliance, and risk management standards in the financial services domain
  • Optimize data pipelines and analytics workflows on Databricks to handle large-scale financial datasets efficiently
  • Integrate AWS services to build cloud-native applications that enhance operational efficiency and reduce costs
  • Drive agile sprints, code reviews, and testing processes to deliver high-quality software on time
  • Identify and implement emerging technologies to solve complex challenges in financial reporting and analytics
  • Partner with cross-functional teams, including data scientists and product managers, to align tech solutions with business goals
  • Monitor system performance and troubleshoot issues in production environments to maintain 24/7 availability for critical finance operations

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 8+ years of professional software engineering experience, with at least 5 years in Java and/or Python development
  • Proven experience with Databricks for data processing and analytics in a financial services environment
  • Hands-on expertise in AWS cloud services, including EC2, S3, Lambda, and SageMaker
  • Strong understanding of financial systems, data security, and regulatory compliance (e.g., GDPR, SOX)
  • Experience leading cross-functional teams in agile methodologies within a large-scale enterprise setting
  • Demonstrated ability to design and implement scalable, high-performance applications handling sensitive financial data

Preferred Qualifications

  • Experience in the banking or financial services sector, particularly with core banking systems or risk management tools
  • Certification in AWS (e.g., AWS Certified Solutions Architect) or Databricks
  • Familiarity with machine learning frameworks and big data technologies like Spark or Hadoop
  • Prior leadership role in delivering fintech projects at a global institution
  • Knowledge of DevOps practices and CI/CD pipelines using tools like Jenkins or GitHub Actions

Required Skills

  • Proficiency in Java and Python programming languages
  • Expertise in Databricks for data engineering and analytics
  • Advanced knowledge of AWS cloud platform and services
  • Experience with SQL, Spark, and big data processing
  • Strong problem-solving and analytical thinking
  • Leadership and team management abilities
  • Agile and Scrum methodologies
  • Financial domain knowledge and regulatory compliance
  • Version control with Git and collaborative tools
  • DevOps practices, including CI/CD and containerization (Docker/Kubernetes)
  • Communication and stakeholder engagement skills
  • Attention to detail in secure coding practices
  • Adaptability to fast-paced environments
  • Machine learning basics for financial applications
  • Project management and prioritization

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements, including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

280,000 - 450,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Java and Python programming languagesintermediate
  • Expertise in Databricks for data engineering and analyticsintermediate
  • Advanced knowledge of AWS cloud platform and servicesintermediate
  • Experience with SQL, Spark, and big data processingintermediate
  • Strong problem-solving and analytical thinkingintermediate
  • Leadership and team management abilitiesintermediate
  • Agile and Scrum methodologiesintermediate
  • Financial domain knowledge and regulatory complianceintermediate
  • Version control with Git and collaborative toolsintermediate
  • DevOps practices, including CI/CD and containerization (Docker/Kubernetes)intermediate
  • Communication and stakeholder engagement skillsintermediate
  • Attention to detail in secure coding practicesintermediate
  • Adaptability to fast-paced environmentsintermediate
  • Machine learning basics for financial applicationsintermediate
  • Project management and prioritizationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 8+ years of professional software engineering experience, with at least 5 years in Java and/or Python development (experience)
  • Proven experience with Databricks for data processing and analytics in a financial services environment (experience)
  • Hands-on expertise in AWS cloud services, including EC2, S3, Lambda, and SageMaker (experience)
  • Strong understanding of financial systems, data security, and regulatory compliance (e.g., GDPR, SOX) (experience)
  • Experience leading cross-functional teams in agile methodologies within a large-scale enterprise setting (experience)
  • Demonstrated ability to design and implement scalable, high-performance applications handling sensitive financial data (experience)

Preferred Qualifications

  • Experience in the banking or financial services sector, particularly with core banking systems or risk management tools (experience)
  • Certification in AWS (e.g., AWS Certified Solutions Architect) or Databricks (experience)
  • Familiarity with machine learning frameworks and big data technologies like Spark or Hadoop (experience)
  • Prior leadership role in delivering fintech projects at a global institution (experience)
  • Knowledge of DevOps practices and CI/CD pipelines using tools like Jenkins or GitHub Actions (experience)

Responsibilities

  • Lead the design, development, and deployment of software solutions using Java, Python, Databricks, and AWS to support JP Morgan Chase's finance technology initiatives
  • Collaborate with finance stakeholders to translate business requirements into robust, scalable technical architectures
  • Mentor and manage a team of software engineers, fostering a culture of innovation and continuous improvement
  • Ensure all solutions adhere to JP Morgan's stringent security, compliance, and risk management standards in the financial services domain
  • Optimize data pipelines and analytics workflows on Databricks to handle large-scale financial datasets efficiently
  • Integrate AWS services to build cloud-native applications that enhance operational efficiency and reduce costs
  • Drive agile sprints, code reviews, and testing processes to deliver high-quality software on time
  • Identify and implement emerging technologies to solve complex challenges in financial reporting and analytics
  • Partner with cross-functional teams, including data scientists and product managers, to align tech solutions with business goals
  • Monitor system performance and troubleshoot issues in production environments to maintain 24/7 availability for critical finance operations

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Wilmington, DE

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JP Morgan Chase logo

Senior Manager of Software Engineering - Java/Python/Databricks/AWS

JP Morgan Chase

Software and Technology Jobs

Senior Manager of Software Engineering - Java/Python/Databricks/AWS

full-timePosted: Sep 24, 2025

Job Description

Senior Manager of Software Engineering - Java/Python/Databricks/AWS

Location: Wilmington, DE, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Finance Tech team plays a pivotal role in powering the bank's global operations through cutting-edge technology. As a Senior Manager of Software Engineering - Java/Python/Databricks/AWS, you will lead a talented team in Wilmington, DE, to develop and maintain sophisticated software solutions that drive financial analytics, risk assessment, and operational efficiency. This role offers the chance to impact high-stakes projects in a dynamic environment where your expertise in cloud-native technologies will directly contribute to the bank's competitive edge in the financial services industry. You will work on initiatives that handle petabytes of sensitive data, ensuring seamless integration with core banking systems while upholding the highest standards of security and compliance. In this leadership position, you will architect scalable applications using Java and Python, leverage Databricks for advanced data processing, and harness AWS services to build resilient, cost-effective infrastructures. Collaborating closely with finance executives, data scientists, and compliance teams, you will translate complex business needs into innovative tech strategies that enhance decision-making and mitigate risks. Your responsibilities will include overseeing the full software development lifecycle, from ideation to deployment, in an agile framework tailored to JP Morgan's fast-paced demands. This is an opportunity to mentor emerging talent and drive technological transformation in a firm renowned for its commitment to ethical innovation and client trust. Joining JP Morgan Chase means becoming part of a world-class organization that values diversity, inclusion, and professional growth. We offer unparalleled resources for career advancement, including exposure to global projects and partnerships with industry leaders. If you are a seasoned engineer passionate about applying your skills to real-world financial challenges, this role will allow you to make a lasting impact while enjoying a supportive, high-reward culture.

Key Responsibilities

  • Lead the design, development, and deployment of software solutions using Java, Python, Databricks, and AWS to support JP Morgan Chase's finance technology initiatives
  • Collaborate with finance stakeholders to translate business requirements into robust, scalable technical architectures
  • Mentor and manage a team of software engineers, fostering a culture of innovation and continuous improvement
  • Ensure all solutions adhere to JP Morgan's stringent security, compliance, and risk management standards in the financial services domain
  • Optimize data pipelines and analytics workflows on Databricks to handle large-scale financial datasets efficiently
  • Integrate AWS services to build cloud-native applications that enhance operational efficiency and reduce costs
  • Drive agile sprints, code reviews, and testing processes to deliver high-quality software on time
  • Identify and implement emerging technologies to solve complex challenges in financial reporting and analytics
  • Partner with cross-functional teams, including data scientists and product managers, to align tech solutions with business goals
  • Monitor system performance and troubleshoot issues in production environments to maintain 24/7 availability for critical finance operations

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 8+ years of professional software engineering experience, with at least 5 years in Java and/or Python development
  • Proven experience with Databricks for data processing and analytics in a financial services environment
  • Hands-on expertise in AWS cloud services, including EC2, S3, Lambda, and SageMaker
  • Strong understanding of financial systems, data security, and regulatory compliance (e.g., GDPR, SOX)
  • Experience leading cross-functional teams in agile methodologies within a large-scale enterprise setting
  • Demonstrated ability to design and implement scalable, high-performance applications handling sensitive financial data

Preferred Qualifications

  • Experience in the banking or financial services sector, particularly with core banking systems or risk management tools
  • Certification in AWS (e.g., AWS Certified Solutions Architect) or Databricks
  • Familiarity with machine learning frameworks and big data technologies like Spark or Hadoop
  • Prior leadership role in delivering fintech projects at a global institution
  • Knowledge of DevOps practices and CI/CD pipelines using tools like Jenkins or GitHub Actions

Required Skills

  • Proficiency in Java and Python programming languages
  • Expertise in Databricks for data engineering and analytics
  • Advanced knowledge of AWS cloud platform and services
  • Experience with SQL, Spark, and big data processing
  • Strong problem-solving and analytical thinking
  • Leadership and team management abilities
  • Agile and Scrum methodologies
  • Financial domain knowledge and regulatory compliance
  • Version control with Git and collaborative tools
  • DevOps practices, including CI/CD and containerization (Docker/Kubernetes)
  • Communication and stakeholder engagement skills
  • Attention to detail in secure coding practices
  • Adaptability to fast-paced environments
  • Machine learning basics for financial applications
  • Project management and prioritization

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements, including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

280,000 - 450,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Java and Python programming languagesintermediate
  • Expertise in Databricks for data engineering and analyticsintermediate
  • Advanced knowledge of AWS cloud platform and servicesintermediate
  • Experience with SQL, Spark, and big data processingintermediate
  • Strong problem-solving and analytical thinkingintermediate
  • Leadership and team management abilitiesintermediate
  • Agile and Scrum methodologiesintermediate
  • Financial domain knowledge and regulatory complianceintermediate
  • Version control with Git and collaborative toolsintermediate
  • DevOps practices, including CI/CD and containerization (Docker/Kubernetes)intermediate
  • Communication and stakeholder engagement skillsintermediate
  • Attention to detail in secure coding practicesintermediate
  • Adaptability to fast-paced environmentsintermediate
  • Machine learning basics for financial applicationsintermediate
  • Project management and prioritizationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 8+ years of professional software engineering experience, with at least 5 years in Java and/or Python development (experience)
  • Proven experience with Databricks for data processing and analytics in a financial services environment (experience)
  • Hands-on expertise in AWS cloud services, including EC2, S3, Lambda, and SageMaker (experience)
  • Strong understanding of financial systems, data security, and regulatory compliance (e.g., GDPR, SOX) (experience)
  • Experience leading cross-functional teams in agile methodologies within a large-scale enterprise setting (experience)
  • Demonstrated ability to design and implement scalable, high-performance applications handling sensitive financial data (experience)

Preferred Qualifications

  • Experience in the banking or financial services sector, particularly with core banking systems or risk management tools (experience)
  • Certification in AWS (e.g., AWS Certified Solutions Architect) or Databricks (experience)
  • Familiarity with machine learning frameworks and big data technologies like Spark or Hadoop (experience)
  • Prior leadership role in delivering fintech projects at a global institution (experience)
  • Knowledge of DevOps practices and CI/CD pipelines using tools like Jenkins or GitHub Actions (experience)

Responsibilities

  • Lead the design, development, and deployment of software solutions using Java, Python, Databricks, and AWS to support JP Morgan Chase's finance technology initiatives
  • Collaborate with finance stakeholders to translate business requirements into robust, scalable technical architectures
  • Mentor and manage a team of software engineers, fostering a culture of innovation and continuous improvement
  • Ensure all solutions adhere to JP Morgan's stringent security, compliance, and risk management standards in the financial services domain
  • Optimize data pipelines and analytics workflows on Databricks to handle large-scale financial datasets efficiently
  • Integrate AWS services to build cloud-native applications that enhance operational efficiency and reduce costs
  • Drive agile sprints, code reviews, and testing processes to deliver high-quality software on time
  • Identify and implement emerging technologies to solve complex challenges in financial reporting and analytics
  • Partner with cross-functional teams, including data scientists and product managers, to align tech solutions with business goals
  • Monitor system performance and troubleshoot issues in production environments to maintain 24/7 availability for critical finance operations

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Wilmington, DE

Target Your Resume for "Senior Manager of Software Engineering - Java/Python/Databricks/AWS" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Senior Manager of Software Engineering - Java/Python/Databricks/AWS. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Manager of Software Engineering - Java/Python/Databricks/AWS" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

Answer 10 quick questions to check your fit for Senior Manager of Software Engineering - Java/Python/Databricks/AWS @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.