Lead Software Engineer| Risk Data Platform & Strategy

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the Corporate - Risk Technology youare an integral part of an agile Data Platform and Strategy Team driving the design development and delivery of advanced data engineering solutions and market-leading technology products. With a strong SRE mindset you will champion reliability scalability and operational excellence across multiple technical domains ensuring our systems are robust secure and resilient. You will lead critical technology initiatives proactively address system reliability challenges and foster a culture of continuous improvement and automation supporting the firms business objectives through innovative engineering leadership

Job responsibilities

• Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code for data-intensive applications and reviews and debugs code written by others
• Drives the implementation of SRE best practices including automated monitoring alerting and self-healing mechanisms to ensure high availability and reliability of data platforms
• Leads root cause analysis and post-incident reviews collaborating with other engineering team members to develop long-term solutions that prevent recurrence and improve system resiliency
• Mentors and guides other engineering team members in adopting SRE principles fostering a culture of reliability automation and continuous improvement
• Collaborate with product engineering and operations teams to define and measure service level objectives (SLOs) service level indicators (SLIs) and error budgets
• Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience

• Proficiency in Engineering & Architecture AI/ML with hands-on experience in designing implementing testing and ensuring the operational stability of large-scale enterprise data platforms and solutions
• Demonstrated expertise in applying SRE principles to drive reliability engineering automation and operational excellence within complex technical environment
• Deep understanding of distributed systems cloud-native architectures and large-scale data processing with hands-on expertise in Java Python and big data technologies (e.g. Spark/PySpark Databricks Snowflake)
• Hands-on practical experience delivering system design application development testing and operational stability
• Experience in developing debugging and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB.
• Strong background in observability tools (e.g. Dynatrace Splunk Grafana) incident management and performance optimization
• Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security

Preferred qualifications capabilities and skills

• Proficiency in automation continuous delivery methods and all aspects of the Software Development Life Cycle
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. data engineering cloud artificial intelligence machine learning mobile etc.)
• Experience with modern data technologies such as Databricks or Snowflake. Experience in large scale data processing using micro services API design Kafka Redis MemCached Observability (Dynatrace Splunk Grafana or similar) Orchestration (Airflow Temporal)
• Knowledge of the financial services industry and their IT systems