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Lead Software Engineer - Python/BigData

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer - Python/BigData

full-timePosted: Sep 11, 2025

Job Description

Lead Software Engineer - Python/BigData

Location: Ciudad Autónoma de Buenos Aires, Argentina

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge technology to power global markets and deliver unparalleled value to our clients. As a Lead Software Engineer - Python/BigData in our Buenos Aires office, you will play a pivotal role in driving significant business impact by tackling diverse challenges across multiple technologies and applications. This position within the Software Engineering category offers the opportunity to lead initiatives that enhance our risk management systems, optimize trading platforms, and harness big data for strategic decision-making in the financial services industry. You will work in a dynamic, collaborative environment where your expertise in Python and big data will directly contribute to JP Morgan's mission of transforming finance through technology. In this leadership role, you will architect and implement scalable data solutions that process vast volumes of financial data, ensuring robustness and efficiency in a high-stakes environment. Responsibilities include guiding a team of engineers in building resilient pipelines using tools like Spark and Kafka, integrating AI-driven analytics for fraud detection and portfolio optimization, and collaborating with global teams to align technical solutions with business objectives. Your work will span the full software development lifecycle, from ideation to deployment, while adhering to stringent regulatory standards that define the financial sector. This role demands not only technical prowess but also the ability to innovate under pressure, making it ideal for seasoned professionals passionate about fintech advancements. Joining JP Morgan Chase means becoming part of a world-class organization committed to your growth and well-being. We offer a supportive culture that values diversity, inclusion, and continuous learning, with opportunities to engage in high-impact projects that shape the future of banking. Based in the vibrant Ciudad Autónoma de Buenos Aires, you will benefit from a hybrid work model, competitive compensation, and access to top-tier resources that empower you to excel. If you are ready to lead transformative big data initiatives at one of the world's leading financial institutions, apply today and help us redefine what's possible in financial services.

Key Responsibilities

  • Lead the design, development, and deployment of Python-based big data solutions to support JP Morgan Chase's financial platforms
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to drive business impact in areas like fraud detection and market analytics
  • Architect scalable data pipelines using technologies like Spark and Kafka to process terabytes of financial transaction data
  • Mentor and guide junior engineers, fostering a culture of innovation and technical excellence within the team
  • Optimize and troubleshoot big data systems to ensure high availability and performance in a 24/7 financial environment
  • Integrate machine learning models into production systems for predictive analytics in investment banking
  • Conduct code reviews, implement best practices for security and compliance in financial software
  • Stay abreast of emerging technologies and contribute to strategic initiatives that enhance JP Morgan's competitive edge in fintech
  • Manage project timelines, budgets, and resources for multiple concurrent big data projects
  • Present technical solutions and progress updates to senior leadership and global teams

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • At least 7+ years of professional software engineering experience
  • Strong proficiency in Python programming and experience with big data technologies such as Hadoop, Spark, or Kafka
  • Proven track record of leading engineering teams in delivering scalable financial systems
  • Experience in financial services, particularly in areas like risk management, trading platforms, or data analytics
  • Deep understanding of data processing pipelines and cloud platforms (e.g., AWS, Azure)
  • Excellent problem-solving skills with the ability to handle complex, high-stakes projects

Preferred Qualifications

  • Master's degree in Computer Science or related discipline
  • Experience with machine learning frameworks like TensorFlow or PyTorch in financial modeling
  • Prior work at a major financial institution on big data initiatives
  • Familiarity with regulatory compliance standards such as GDPR or Basel III
  • Certification in cloud architecture or big data technologies (e.g., AWS Certified Big Data)

Required Skills

  • Advanced Python programming
  • Big Data frameworks (Spark, Hadoop, Kafka)
  • Data pipeline architecture and ETL processes
  • Cloud computing (AWS, Azure, GCP)
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Machine learning and AI integration
  • Financial domain knowledge (e.g., trading, risk assessment)
  • Agile methodologies and DevOps practices
  • Leadership and team management
  • Problem-solving in high-pressure environments
  • Communication and stakeholder engagement
  • Security and compliance in fintech
  • Version control (Git) and CI/CD tools
  • Performance optimization for large-scale systems
  • Analytical thinking for business impact

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial industry standards
  • Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to financial wellness resources
  • Flexible work arrangements, including hybrid options in Buenos Aires
  • Global mobility programs and networking events within the JP Morgan community

JP Morgan Chase is an equal opportunity employer.

Locations

  • Ciudad Autónoma de Buenos Aires, AR

Salary

Estimated Salary Rangemedium confidence

85,000 - 140,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Advanced Python programmingintermediate
  • Big Data frameworks (Spark, Hadoop, Kafka)intermediate
  • Data pipeline architecture and ETL processesintermediate
  • Cloud computing (AWS, Azure, GCP)intermediate
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • Machine learning and AI integrationintermediate
  • Financial domain knowledge (e.g., trading, risk assessment)intermediate
  • Agile methodologies and DevOps practicesintermediate
  • Leadership and team managementintermediate
  • Problem-solving in high-pressure environmentsintermediate
  • Communication and stakeholder engagementintermediate
  • Security and compliance in fintechintermediate
  • Version control (Git) and CI/CD toolsintermediate
  • Performance optimization for large-scale systemsintermediate
  • Analytical thinking for business impactintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (experience)
  • At least 7+ years of professional software engineering experience (experience)
  • Strong proficiency in Python programming and experience with big data technologies such as Hadoop, Spark, or Kafka (experience)
  • Proven track record of leading engineering teams in delivering scalable financial systems (experience)
  • Experience in financial services, particularly in areas like risk management, trading platforms, or data analytics (experience)
  • Deep understanding of data processing pipelines and cloud platforms (e.g., AWS, Azure) (experience)
  • Excellent problem-solving skills with the ability to handle complex, high-stakes projects (experience)

Preferred Qualifications

  • Master's degree in Computer Science or related discipline (experience)
  • Experience with machine learning frameworks like TensorFlow or PyTorch in financial modeling (experience)
  • Prior work at a major financial institution on big data initiatives (experience)
  • Familiarity with regulatory compliance standards such as GDPR or Basel III (experience)
  • Certification in cloud architecture or big data technologies (e.g., AWS Certified Big Data) (experience)

Responsibilities

  • Lead the design, development, and deployment of Python-based big data solutions to support JP Morgan Chase's financial platforms
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to drive business impact in areas like fraud detection and market analytics
  • Architect scalable data pipelines using technologies like Spark and Kafka to process terabytes of financial transaction data
  • Mentor and guide junior engineers, fostering a culture of innovation and technical excellence within the team
  • Optimize and troubleshoot big data systems to ensure high availability and performance in a 24/7 financial environment
  • Integrate machine learning models into production systems for predictive analytics in investment banking
  • Conduct code reviews, implement best practices for security and compliance in financial software
  • Stay abreast of emerging technologies and contribute to strategic initiatives that enhance JP Morgan's competitive edge in fintech
  • Manage project timelines, budgets, and resources for multiple concurrent big data projects
  • Present technical solutions and progress updates to senior leadership and global teams

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial industry standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and access to financial wellness resources
  • general: Flexible work arrangements, including hybrid options in Buenos Aires
  • general: Global mobility programs and networking events within the JP Morgan community

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JP Morgan Chase logo

Lead Software Engineer - Python/BigData

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer - Python/BigData

full-timePosted: Sep 11, 2025

Job Description

Lead Software Engineer - Python/BigData

Location: Ciudad Autónoma de Buenos Aires, Argentina

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge technology to power global markets and deliver unparalleled value to our clients. As a Lead Software Engineer - Python/BigData in our Buenos Aires office, you will play a pivotal role in driving significant business impact by tackling diverse challenges across multiple technologies and applications. This position within the Software Engineering category offers the opportunity to lead initiatives that enhance our risk management systems, optimize trading platforms, and harness big data for strategic decision-making in the financial services industry. You will work in a dynamic, collaborative environment where your expertise in Python and big data will directly contribute to JP Morgan's mission of transforming finance through technology. In this leadership role, you will architect and implement scalable data solutions that process vast volumes of financial data, ensuring robustness and efficiency in a high-stakes environment. Responsibilities include guiding a team of engineers in building resilient pipelines using tools like Spark and Kafka, integrating AI-driven analytics for fraud detection and portfolio optimization, and collaborating with global teams to align technical solutions with business objectives. Your work will span the full software development lifecycle, from ideation to deployment, while adhering to stringent regulatory standards that define the financial sector. This role demands not only technical prowess but also the ability to innovate under pressure, making it ideal for seasoned professionals passionate about fintech advancements. Joining JP Morgan Chase means becoming part of a world-class organization committed to your growth and well-being. We offer a supportive culture that values diversity, inclusion, and continuous learning, with opportunities to engage in high-impact projects that shape the future of banking. Based in the vibrant Ciudad Autónoma de Buenos Aires, you will benefit from a hybrid work model, competitive compensation, and access to top-tier resources that empower you to excel. If you are ready to lead transformative big data initiatives at one of the world's leading financial institutions, apply today and help us redefine what's possible in financial services.

Key Responsibilities

  • Lead the design, development, and deployment of Python-based big data solutions to support JP Morgan Chase's financial platforms
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to drive business impact in areas like fraud detection and market analytics
  • Architect scalable data pipelines using technologies like Spark and Kafka to process terabytes of financial transaction data
  • Mentor and guide junior engineers, fostering a culture of innovation and technical excellence within the team
  • Optimize and troubleshoot big data systems to ensure high availability and performance in a 24/7 financial environment
  • Integrate machine learning models into production systems for predictive analytics in investment banking
  • Conduct code reviews, implement best practices for security and compliance in financial software
  • Stay abreast of emerging technologies and contribute to strategic initiatives that enhance JP Morgan's competitive edge in fintech
  • Manage project timelines, budgets, and resources for multiple concurrent big data projects
  • Present technical solutions and progress updates to senior leadership and global teams

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • At least 7+ years of professional software engineering experience
  • Strong proficiency in Python programming and experience with big data technologies such as Hadoop, Spark, or Kafka
  • Proven track record of leading engineering teams in delivering scalable financial systems
  • Experience in financial services, particularly in areas like risk management, trading platforms, or data analytics
  • Deep understanding of data processing pipelines and cloud platforms (e.g., AWS, Azure)
  • Excellent problem-solving skills with the ability to handle complex, high-stakes projects

Preferred Qualifications

  • Master's degree in Computer Science or related discipline
  • Experience with machine learning frameworks like TensorFlow or PyTorch in financial modeling
  • Prior work at a major financial institution on big data initiatives
  • Familiarity with regulatory compliance standards such as GDPR or Basel III
  • Certification in cloud architecture or big data technologies (e.g., AWS Certified Big Data)

Required Skills

  • Advanced Python programming
  • Big Data frameworks (Spark, Hadoop, Kafka)
  • Data pipeline architecture and ETL processes
  • Cloud computing (AWS, Azure, GCP)
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Machine learning and AI integration
  • Financial domain knowledge (e.g., trading, risk assessment)
  • Agile methodologies and DevOps practices
  • Leadership and team management
  • Problem-solving in high-pressure environments
  • Communication and stakeholder engagement
  • Security and compliance in fintech
  • Version control (Git) and CI/CD tools
  • Performance optimization for large-scale systems
  • Analytical thinking for business impact

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial industry standards
  • Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to financial wellness resources
  • Flexible work arrangements, including hybrid options in Buenos Aires
  • Global mobility programs and networking events within the JP Morgan community

JP Morgan Chase is an equal opportunity employer.

Locations

  • Ciudad Autónoma de Buenos Aires, AR

Salary

Estimated Salary Rangemedium confidence

85,000 - 140,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Advanced Python programmingintermediate
  • Big Data frameworks (Spark, Hadoop, Kafka)intermediate
  • Data pipeline architecture and ETL processesintermediate
  • Cloud computing (AWS, Azure, GCP)intermediate
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • Machine learning and AI integrationintermediate
  • Financial domain knowledge (e.g., trading, risk assessment)intermediate
  • Agile methodologies and DevOps practicesintermediate
  • Leadership and team managementintermediate
  • Problem-solving in high-pressure environmentsintermediate
  • Communication and stakeholder engagementintermediate
  • Security and compliance in fintechintermediate
  • Version control (Git) and CI/CD toolsintermediate
  • Performance optimization for large-scale systemsintermediate
  • Analytical thinking for business impactintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (experience)
  • At least 7+ years of professional software engineering experience (experience)
  • Strong proficiency in Python programming and experience with big data technologies such as Hadoop, Spark, or Kafka (experience)
  • Proven track record of leading engineering teams in delivering scalable financial systems (experience)
  • Experience in financial services, particularly in areas like risk management, trading platforms, or data analytics (experience)
  • Deep understanding of data processing pipelines and cloud platforms (e.g., AWS, Azure) (experience)
  • Excellent problem-solving skills with the ability to handle complex, high-stakes projects (experience)

Preferred Qualifications

  • Master's degree in Computer Science or related discipline (experience)
  • Experience with machine learning frameworks like TensorFlow or PyTorch in financial modeling (experience)
  • Prior work at a major financial institution on big data initiatives (experience)
  • Familiarity with regulatory compliance standards such as GDPR or Basel III (experience)
  • Certification in cloud architecture or big data technologies (e.g., AWS Certified Big Data) (experience)

Responsibilities

  • Lead the design, development, and deployment of Python-based big data solutions to support JP Morgan Chase's financial platforms
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to drive business impact in areas like fraud detection and market analytics
  • Architect scalable data pipelines using technologies like Spark and Kafka to process terabytes of financial transaction data
  • Mentor and guide junior engineers, fostering a culture of innovation and technical excellence within the team
  • Optimize and troubleshoot big data systems to ensure high availability and performance in a 24/7 financial environment
  • Integrate machine learning models into production systems for predictive analytics in investment banking
  • Conduct code reviews, implement best practices for security and compliance in financial software
  • Stay abreast of emerging technologies and contribute to strategic initiatives that enhance JP Morgan's competitive edge in fintech
  • Manage project timelines, budgets, and resources for multiple concurrent big data projects
  • Present technical solutions and progress updates to senior leadership and global teams

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial industry standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and access to financial wellness resources
  • general: Flexible work arrangements, including hybrid options in Buenos Aires
  • general: Global mobility programs and networking events within the JP Morgan community

Target Your Resume for "Lead Software Engineer - Python/BigData" , JP Morgan Chase

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

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

Check Your ATS Score for "Lead Software Engineer - Python/BigData" , 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 Lead Software Engineer - Python/BigData @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.