Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

JPMorgan Manager Software Engineering - Spark AWS Java Big Data 
India, Maharashtra, Mumbai 
767421682

21.09.2024

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