Resume and JobRESUME AND JOB
JP Morgan Chase logo

Senior Lead Software Engineer - SRE/Databricks

JP Morgan Chase

Software and Technology Jobs

Senior Lead Software Engineer - SRE/Databricks

full-timePosted: Nov 24, 2025

Job Description

Senior Lead Software Engineer - SRE/Databricks

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge technology to power global banking, investment, and asset management services. As a Senior Lead Software Engineer in SRE/Databricks, you will play a pivotal role in our Corporate & Investment Bank division, driving the reliability and scalability of data platforms that support trillions in daily transactions. Based in our state-of-the-art Jersey City office, you will tackle complex challenges at the intersection of software engineering, data analytics, and site reliability, ensuring our systems deliver unparalleled performance in a highly regulated financial landscape. This position offers the opportunity to lead transformative projects that directly impact business outcomes, from optimizing real-time risk analytics to enhancing fraud detection capabilities through advanced Databricks integrations. Your primary focus will be on architecting resilient infrastructure using SRE methodologies, where you will implement monitoring, automation, and incident management strategies tailored to the demands of financial services. Collaborating with diverse teams—including data scientists, product managers, and compliance experts—you will harness Databricks to build efficient data pipelines that process vast datasets from market feeds, client portfolios, and regulatory reports. At JPMorgan Chase, we emphasize a culture of innovation and accountability, where your expertise in cloud-native technologies and big data will help us maintain 99.99% uptime for mission-critical applications, mitigating risks in volatile markets. This role is ideal for a seasoned engineer passionate about reliability engineering in finance, offering exposure to JPMorgan's global ecosystem and opportunities for career growth. You will contribute to strategic initiatives that align technology with business goals, such as AI-driven insights for investment strategies, while adhering to stringent standards like SOX and GDPR. Join us to make a lasting impact on one of the world's leading financial institutions, where your work empowers sustainable growth and client trust.

Key Responsibilities

  • Lead the design, implementation, and maintenance of reliable, scalable systems using Databricks for data-intensive financial applications
  • Collaborate with engineering teams to define and monitor SLOs/SLIs, ensuring high availability for critical trading and risk platforms
  • Drive incident response and post-mortem analysis to improve system resilience in a 24/7 financial operations environment
  • Optimize Databricks workflows for performance, cost-efficiency, and integration with JPMorgan's core banking infrastructure
  • Mentor junior engineers on SRE best practices and foster a culture of automation and observability
  • Integrate security and compliance measures into data pipelines, adhering to financial regulations
  • Develop and maintain CI/CD pipelines to accelerate deployment of machine learning models and analytics tools
  • Analyze system performance metrics to proactively identify and mitigate risks in high-volume transaction processing
  • Partner with product and data science teams to translate business requirements into robust technical solutions
  • Contribute to innovation initiatives, exploring emerging technologies to enhance JPMorgan's data ecosystem

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 8+ years of experience in software engineering with a focus on Site Reliability Engineering (SRE) practices
  • Proven expertise in Databricks, including Delta Lake, Spark, and MLflow for data processing and analytics
  • Strong experience in cloud platforms such as AWS, Azure, or GCP, with emphasis on scalable infrastructure in financial environments
  • Demonstrated ability to lead cross-functional teams in high-stakes financial services projects
  • In-depth knowledge of monitoring tools like Prometheus, Grafana, and ELK stack for system reliability
  • Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and automation scripting (Python/Bash)

Preferred Qualifications

  • Experience in the financial services industry, particularly in risk management or trading systems
  • Certification in Databricks or AWS/GCP cloud architectures
  • Background in implementing SRE principles like error budgets and SLO/SLI in production environments
  • Familiarity with regulatory compliance standards such as GDPR, SOX, or FINRA in data handling
  • Prior leadership in agile methodologies for software delivery in large-scale enterprises

Required Skills

  • Databricks platform expertise (Spark, Delta Lake, Unity Catalog)
  • Site Reliability Engineering (SRE) principles and tools
  • Cloud computing (AWS, Azure, GCP) for scalable architectures
  • Programming languages: Python, Java, Scala
  • Container orchestration with Kubernetes and Docker
  • Monitoring and logging: Prometheus, Grafana, Splunk
  • CI/CD tools: Jenkins, GitLab CI, Terraform
  • Data engineering: ETL processes, big data analytics
  • Financial domain knowledge: risk modeling, transaction processing
  • Leadership and communication for cross-team collaboration
  • Problem-solving in high-pressure, regulated environments
  • Agile/Scrum methodologies
  • Security best practices for financial data
  • Automation scripting and infrastructure as code
  • Machine learning integration with Databricks MLflow

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 with tuition reimbursement and internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements and commuter benefits for Jersey City location

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 400,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Databricks platform expertise (Spark, Delta Lake, Unity Catalog)intermediate
  • Site Reliability Engineering (SRE) principles and toolsintermediate
  • Cloud computing (AWS, Azure, GCP) for scalable architecturesintermediate
  • Programming languages: Python, Java, Scalaintermediate
  • Container orchestration with Kubernetes and Dockerintermediate
  • Monitoring and logging: Prometheus, Grafana, Splunkintermediate
  • CI/CD tools: Jenkins, GitLab CI, Terraformintermediate
  • Data engineering: ETL processes, big data analyticsintermediate
  • Financial domain knowledge: risk modeling, transaction processingintermediate
  • Leadership and communication for cross-team collaborationintermediate
  • Problem-solving in high-pressure, regulated environmentsintermediate
  • Agile/Scrum methodologiesintermediate
  • Security best practices for financial dataintermediate
  • Automation scripting and infrastructure as codeintermediate
  • Machine learning integration with Databricks MLflowintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 8+ years of experience in software engineering with a focus on Site Reliability Engineering (SRE) practices (experience)
  • Proven expertise in Databricks, including Delta Lake, Spark, and MLflow for data processing and analytics (experience)
  • Strong experience in cloud platforms such as AWS, Azure, or GCP, with emphasis on scalable infrastructure in financial environments (experience)
  • Demonstrated ability to lead cross-functional teams in high-stakes financial services projects (experience)
  • In-depth knowledge of monitoring tools like Prometheus, Grafana, and ELK stack for system reliability (experience)
  • Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and automation scripting (Python/Bash) (experience)

Preferred Qualifications

  • Experience in the financial services industry, particularly in risk management or trading systems (experience)
  • Certification in Databricks or AWS/GCP cloud architectures (experience)
  • Background in implementing SRE principles like error budgets and SLO/SLI in production environments (experience)
  • Familiarity with regulatory compliance standards such as GDPR, SOX, or FINRA in data handling (experience)
  • Prior leadership in agile methodologies for software delivery in large-scale enterprises (experience)

Responsibilities

  • Lead the design, implementation, and maintenance of reliable, scalable systems using Databricks for data-intensive financial applications
  • Collaborate with engineering teams to define and monitor SLOs/SLIs, ensuring high availability for critical trading and risk platforms
  • Drive incident response and post-mortem analysis to improve system resilience in a 24/7 financial operations environment
  • Optimize Databricks workflows for performance, cost-efficiency, and integration with JPMorgan's core banking infrastructure
  • Mentor junior engineers on SRE best practices and foster a culture of automation and observability
  • Integrate security and compliance measures into data pipelines, adhering to financial regulations
  • Develop and maintain CI/CD pipelines to accelerate deployment of machine learning models and analytics tools
  • Analyze system performance metrics to proactively identify and mitigate risks in high-volume transaction processing
  • Partner with product and data science teams to translate business requirements into robust technical solutions
  • Contribute to innovation initiatives, exploring emerging technologies to enhance JPMorgan's data ecosystem

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 with tuition reimbursement and 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 and commuter benefits for Jersey City location

Target Your Resume for "Senior Lead Software Engineer - SRE/Databricks" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Senior Lead Software Engineer - SRE/Databricks. Takes only 15 seconds!

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

Check Your ATS Score for "Senior Lead Software Engineer - SRE/Databricks" , 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 Lead Software Engineer - SRE/Databricks @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

JP Morgan Chase logo

Senior Lead Software Engineer - SRE/Databricks

JP Morgan Chase

Software and Technology Jobs

Senior Lead Software Engineer - SRE/Databricks

full-timePosted: Nov 24, 2025

Job Description

Senior Lead Software Engineer - SRE/Databricks

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge technology to power global banking, investment, and asset management services. As a Senior Lead Software Engineer in SRE/Databricks, you will play a pivotal role in our Corporate & Investment Bank division, driving the reliability and scalability of data platforms that support trillions in daily transactions. Based in our state-of-the-art Jersey City office, you will tackle complex challenges at the intersection of software engineering, data analytics, and site reliability, ensuring our systems deliver unparalleled performance in a highly regulated financial landscape. This position offers the opportunity to lead transformative projects that directly impact business outcomes, from optimizing real-time risk analytics to enhancing fraud detection capabilities through advanced Databricks integrations. Your primary focus will be on architecting resilient infrastructure using SRE methodologies, where you will implement monitoring, automation, and incident management strategies tailored to the demands of financial services. Collaborating with diverse teams—including data scientists, product managers, and compliance experts—you will harness Databricks to build efficient data pipelines that process vast datasets from market feeds, client portfolios, and regulatory reports. At JPMorgan Chase, we emphasize a culture of innovation and accountability, where your expertise in cloud-native technologies and big data will help us maintain 99.99% uptime for mission-critical applications, mitigating risks in volatile markets. This role is ideal for a seasoned engineer passionate about reliability engineering in finance, offering exposure to JPMorgan's global ecosystem and opportunities for career growth. You will contribute to strategic initiatives that align technology with business goals, such as AI-driven insights for investment strategies, while adhering to stringent standards like SOX and GDPR. Join us to make a lasting impact on one of the world's leading financial institutions, where your work empowers sustainable growth and client trust.

Key Responsibilities

  • Lead the design, implementation, and maintenance of reliable, scalable systems using Databricks for data-intensive financial applications
  • Collaborate with engineering teams to define and monitor SLOs/SLIs, ensuring high availability for critical trading and risk platforms
  • Drive incident response and post-mortem analysis to improve system resilience in a 24/7 financial operations environment
  • Optimize Databricks workflows for performance, cost-efficiency, and integration with JPMorgan's core banking infrastructure
  • Mentor junior engineers on SRE best practices and foster a culture of automation and observability
  • Integrate security and compliance measures into data pipelines, adhering to financial regulations
  • Develop and maintain CI/CD pipelines to accelerate deployment of machine learning models and analytics tools
  • Analyze system performance metrics to proactively identify and mitigate risks in high-volume transaction processing
  • Partner with product and data science teams to translate business requirements into robust technical solutions
  • Contribute to innovation initiatives, exploring emerging technologies to enhance JPMorgan's data ecosystem

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 8+ years of experience in software engineering with a focus on Site Reliability Engineering (SRE) practices
  • Proven expertise in Databricks, including Delta Lake, Spark, and MLflow for data processing and analytics
  • Strong experience in cloud platforms such as AWS, Azure, or GCP, with emphasis on scalable infrastructure in financial environments
  • Demonstrated ability to lead cross-functional teams in high-stakes financial services projects
  • In-depth knowledge of monitoring tools like Prometheus, Grafana, and ELK stack for system reliability
  • Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and automation scripting (Python/Bash)

Preferred Qualifications

  • Experience in the financial services industry, particularly in risk management or trading systems
  • Certification in Databricks or AWS/GCP cloud architectures
  • Background in implementing SRE principles like error budgets and SLO/SLI in production environments
  • Familiarity with regulatory compliance standards such as GDPR, SOX, or FINRA in data handling
  • Prior leadership in agile methodologies for software delivery in large-scale enterprises

Required Skills

  • Databricks platform expertise (Spark, Delta Lake, Unity Catalog)
  • Site Reliability Engineering (SRE) principles and tools
  • Cloud computing (AWS, Azure, GCP) for scalable architectures
  • Programming languages: Python, Java, Scala
  • Container orchestration with Kubernetes and Docker
  • Monitoring and logging: Prometheus, Grafana, Splunk
  • CI/CD tools: Jenkins, GitLab CI, Terraform
  • Data engineering: ETL processes, big data analytics
  • Financial domain knowledge: risk modeling, transaction processing
  • Leadership and communication for cross-team collaboration
  • Problem-solving in high-pressure, regulated environments
  • Agile/Scrum methodologies
  • Security best practices for financial data
  • Automation scripting and infrastructure as code
  • Machine learning integration with Databricks MLflow

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 with tuition reimbursement and internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements and commuter benefits for Jersey City location

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 400,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Databricks platform expertise (Spark, Delta Lake, Unity Catalog)intermediate
  • Site Reliability Engineering (SRE) principles and toolsintermediate
  • Cloud computing (AWS, Azure, GCP) for scalable architecturesintermediate
  • Programming languages: Python, Java, Scalaintermediate
  • Container orchestration with Kubernetes and Dockerintermediate
  • Monitoring and logging: Prometheus, Grafana, Splunkintermediate
  • CI/CD tools: Jenkins, GitLab CI, Terraformintermediate
  • Data engineering: ETL processes, big data analyticsintermediate
  • Financial domain knowledge: risk modeling, transaction processingintermediate
  • Leadership and communication for cross-team collaborationintermediate
  • Problem-solving in high-pressure, regulated environmentsintermediate
  • Agile/Scrum methodologiesintermediate
  • Security best practices for financial dataintermediate
  • Automation scripting and infrastructure as codeintermediate
  • Machine learning integration with Databricks MLflowintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 8+ years of experience in software engineering with a focus on Site Reliability Engineering (SRE) practices (experience)
  • Proven expertise in Databricks, including Delta Lake, Spark, and MLflow for data processing and analytics (experience)
  • Strong experience in cloud platforms such as AWS, Azure, or GCP, with emphasis on scalable infrastructure in financial environments (experience)
  • Demonstrated ability to lead cross-functional teams in high-stakes financial services projects (experience)
  • In-depth knowledge of monitoring tools like Prometheus, Grafana, and ELK stack for system reliability (experience)
  • Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and automation scripting (Python/Bash) (experience)

Preferred Qualifications

  • Experience in the financial services industry, particularly in risk management or trading systems (experience)
  • Certification in Databricks or AWS/GCP cloud architectures (experience)
  • Background in implementing SRE principles like error budgets and SLO/SLI in production environments (experience)
  • Familiarity with regulatory compliance standards such as GDPR, SOX, or FINRA in data handling (experience)
  • Prior leadership in agile methodologies for software delivery in large-scale enterprises (experience)

Responsibilities

  • Lead the design, implementation, and maintenance of reliable, scalable systems using Databricks for data-intensive financial applications
  • Collaborate with engineering teams to define and monitor SLOs/SLIs, ensuring high availability for critical trading and risk platforms
  • Drive incident response and post-mortem analysis to improve system resilience in a 24/7 financial operations environment
  • Optimize Databricks workflows for performance, cost-efficiency, and integration with JPMorgan's core banking infrastructure
  • Mentor junior engineers on SRE best practices and foster a culture of automation and observability
  • Integrate security and compliance measures into data pipelines, adhering to financial regulations
  • Develop and maintain CI/CD pipelines to accelerate deployment of machine learning models and analytics tools
  • Analyze system performance metrics to proactively identify and mitigate risks in high-volume transaction processing
  • Partner with product and data science teams to translate business requirements into robust technical solutions
  • Contribute to innovation initiatives, exploring emerging technologies to enhance JPMorgan's data ecosystem

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 with tuition reimbursement and 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 and commuter benefits for Jersey City location

Target Your Resume for "Senior Lead Software Engineer - SRE/Databricks" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Senior Lead Software Engineer - SRE/Databricks. Takes only 15 seconds!

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

Check Your ATS Score for "Senior Lead Software Engineer - SRE/Databricks" , 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 Lead Software Engineer - SRE/Databricks @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.