Engineering-L2-Bengaluru-Vice President-Java Engineering
Goldman Sachs
BUSINESS UNIT OVERVIEW
Enterprise Technology Operations (ETO) is a Business Unit within Core Engineering focused on running scalable production management services with a mandate of operational excellence and operational risk reduction achieved through large scale automation, best-in-class engineering, and application of data science and machine learning. The Production Runtime Experience (PRX) team in ETO applies software engineering and machine learning to production management services, processes, and activities to streamline monitoring, alerting, automation, and incident management. The team also builds and operates products for order management, disaster recovery testing, and developer onboarding.
TEAM OVERVIEW
ETO's Production Runtime Experience team uses big data processing, machine learning, real-time streaming analytics and simplified visualization/interaction to give computer systems the ability to learn and automate many of the tasks that humans normally perform manually to run the bank’s systems. This is achieved through sophisticated engineering; autonomics and machine learning that statistically and inductively helps understand the behavior of these complex systems.
Responsibilities
• Hands-on role developing software and functionality to be used across the firm.
• Produce high quality software – tested, conformant to engineering best practices.
• Ability to work effectively as part of a diverse multi-disciplined team.
• Leverage modern practices to develop software iteratively.
• Good Team player, motivated, self-organized and have good time & work management skills.
• Have an analytical mind set, with confidence and ability to communicate ideas clearly and concisely.
• Ability to gather requirements, design and build functionality.
• Ability to assist and guide juniors in the team.
• Appreciate and expose Agile principles and practices such as clean code and continuous delivery.
Experience
• Strong programming skills in Core and Advanced Java.
• Java 11/17 experience including lambdas and streaming collections and a good
knowledge of java libraries
• Experience using NoSQL databases such as MongoDB
• Developing Web applications and managing them in a production environment.
• Excellent Communication, Influencing, Relationship building skills.
• Enthusiastic about improving Software Quality and driving best practices.
• Experience with Agile Development methodology.
• Experience with JavaScript, ReactJS, Elasticsearch, Kafka is an advantage