JPMorgan Chase is looking to ensure the reliability, scalability, and performance of mainframe and mid-range computing platforms
Requirements
- 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).
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).
Other
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong problem-solving, analytical, and communication skills.
- Mentor junior SREs and data engineers on performance engineering and data-driven best practices.
- Communicate performance insights and recommendations to stakeholders through visualizations, reports, and presentations.
- Collaborate with development teams to integrate data science solutions into full stack application development.
