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Lead Software Engineer - Java

Aumni

Aumni

Software Engineering
Bengaluru, Karnataka, India
Posted on Thursday, July 25, 2024

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Experiment, Architect, develop and productionized efficient Data pipelines, Data services and Data platforms contributing to the Business.

Design and implement highly scalable, efficient and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.

Develops secure high-quality production code, and reviews and debugs code written by others.

Conducting hands on POCs to prove concepts/products

Migration to internal and external clouds

Migration to Microservices architectures and patterns

Evaluating open source and vendor products

Leading group of developers/scrum team

Design distributed applications.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience

Experience working on large scale software projects with dozens of teams to build internet scale systems from scratch.

Solid programming skills with Java, Python or other equivalent languages.

Experience across the data lifecycle, building Data frameworks, working with Data lakes.

Experience with Batch and Real time Data processing with Spark or Flink

Working knowledge of AWS Glue and EMR usage for Data processing

Experience working with Databricks

Experience working with Python/Java, PySpark etc.

Working experience with both relational and NoSQL databases​

Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB.

Strong analytical and critical thinking skills.

Self-motivation, great communication skills and team player.

Good understanding of machine learning algorithms, including time series algorithms, deep learning, reinforcement learning, and classical ML techniques will be a plus.

Preferred qualifications, capabilities, and skills

Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes.

Experience in big data technologies: Hadoop, Hive, Spark, Kafka.

Experience in distributed system design and development