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JPMorganChase

Senior Lead Software Engineer - Mainframe System Performance

Posted 7 Days Ago
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Hybrid
Columbus, OH
Senior level
Hybrid
Columbus, OH
Senior level
Lead software engineer responsible for mainframe system performance, focusing on reliability, automation, data analysis, and mentorship for junior engineers.
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Job Description
We're looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.
As a Senior Lead Software Engineer at JPMorgan Chase within the Mainframe System Performance team, you will be responsible for ensuring the reliability, scalability, and performance of mainframe and mid-range computing platforms. This role combines data engineering and site reliability engineering (SRE) principles to analyze and interpret large datasets, develop predictive models, and optimize system performance. You will focus on data-promoten strategies to enhance automated processes, streamline operations, and support full stack application development.
Job responsibilities:
  • Automate repetitive tasks related to deployments, monitoring, and incident response.
  • Implement infrastructure-as-code practices using tools like Terraform or CloudFormation.
  • Analyze and interpret large datasets to extract insights and develop predictive models for system performance enhancement.
  • Identify performance bottlenecks in systems and applications and utilize profiling tools to analyze resource usage (CPU, memory, I/O).
  • Develop and implement data-driven solutions to optimize system parameters and improve throughput and latency.
  • Design and implement observability systems for tracking key performance indicators (KPIs) using tools like Prometheus and Grafana.
  • Establish and monitor Service Level Objectives (SLOs) and Service Level Indicators (SLIs).
  • Create alerts for critical performance issues and incidents.
  • Collaborate with development teams to integrate data science solutions into full stack application development.
  • Communicate performance insights and recommendations to stakeholders through visualizations, reports, and presentations.
  • Mentor junior SREs and data engineers on performance engineering and data-driven best practices.

Required skills and qualifications:
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Proficiency in programming languages such as REXX, Python, or Java.
  • Strong understanding of statistical analysis, data engineering techniques focused on, monitoring, automation, and continuous improvement ensuring systems are efficient, scalable, and available.
  • Experience with data manipulation and analysis using libraries such as Pandas, NumPy, TensorFlow, Scikit-learn, PySpark, or Polars.
  • Familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, or Tableau.
  • Knowledge of SQL and experience with database querying.
  • Experience with mainframe and mid-range computing platforms.
  • Proficiency with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Strong problem-solving, analytical, and communication skills.

Preferred qualifications:
  • 5+ years of experience in data science, SRE, or a related role, preferably in application development.
  • Experience with full stack application development and optimizing system performance and reliability through software engineering principles.
  • Knowledge of data engineering, ETL processes, and distributed systems architectures.
  • Experience with DevOps principles and practices.
  • Contribute to the automation of CI/CD pipelines.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Top Skills

AWS
Azure
CloudFormation
Docker
GCP
Grafana
Java
Kubernetes
Matplotlib
Numpy
Pandas
Polars
Power BI
Prometheus
Pyspark
Python
Rexx
Scikit-Learn
Seaborn
SQL
Tableau
TensorFlow
Terraform

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