JPMorgan Manager Software Engineering - Spark AWS Java Big Data 

India, Maharashtra, Mumbai 

767421682

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 at code level in Java, Spark, 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

• 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