Lead Software Engineer

As a Lead Software Engineer at JPMorganChase within the Corporate Risk Technology, you are an integral part of an agile E&A team that works to design, build, enhance and deliver advanced data engineering solutions and trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives. - 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 - Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems - 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. Qualifications Required: - Formal training or certification on software engineering concepts and 5+ years applied experience - Proficiency in Data Engineering & Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise platforms and solutions - Advanced in one or more programming language(s) eg. Java, Python, C/C++, C# - Working knowledge of relational and NoSQL databases and data lake architectures - 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. - Experience in large-scale data processing, using microservices, API design, Kafka, Redis, MemCached, Observability (Dynatrace, Splunk, Grafana, or similar), Orchestration (Airflow, Temporal) - Proficiency in automation and continuous delivery methods - Proficient in all aspects of the Software Development Life Cycle - Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security - Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) - Practical cloud-native experience Preferred qualifications, capabilities, and skills: - Experience with modern data technologies such as Databricks or Snowflake. - Hands-on experience with Spark/PySpark and other big data processing technologies - Knowledge of the financial services industry and their IT systems As a Lead Software Engineer at JPMorganChase within the Corporate Risk Technology, you are an integral part of an agile E&A team that works to design, build, enhance and deliver advanced data engineering solutions and trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives. - 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 - Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems - 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. Qualifications Required: - Formal training or certification on software engineering concepts and 5+ years applied experience - Proficiency in Data Engineering & Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise platforms and solutions - Advanced in one or more programming language(s) eg. Java, Python, C/C++, C# - Working knowledge of relational and NoSQL databases and data lake architectures - 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 o