Senior Manager of Software Engineering - Java, Scala,Big Data, AWS

When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this.

As a Senior Manager of Software Engineering at JPMorgan Chase within the Financial Technology aligned to Corporate Technology, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Be accountable for decisions that influence teams resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Adds to team culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ applied experience in Java, scala or bigdata concepts. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Experience delivering production changes to complex software using Java or Scala and associated frameworks (ideally Spark)
• Ability to solve data-oriented problems using multiple relevant technologies e.g. SQL, Relational DB, Spark, NoSQL etc. while optimizing for performance
• Experience with hiring, developing, and recognizing talent
• Practical cloud native experience
• Experience in Computer Science, Engineering, or a related field and expertise in technology disciplines

Preferred qualifications, capabilities, and skills

• Experience working at code level
• In depth knowledge of the financial services industry, ideally with experience in Liquidity and/or Risk domains
• Real-world experience with Spark performance tuning of complex calculations on large datasets