JPMorgan Senior Lead Software Engineer - AWS Java/Scala/Python Spark 

India, Karnataka, Bengaluru 

3303625

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands - on practical experience working in big data environment, working with structured, semi-structured and unstructured data.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced understanding of one or more object-oriented programming language(s) with expertise in languages such as Scala, Java, Python etc.
• Proficient in building applications for real-time streaming using Apache Spark Streaming, Apache Kafka, Amazon Kinesis etc. for large-scale data processing and open-source frameworks/libraries such as Apache Airflow etc.
• Proficient in application, data, and infrastructure architecture disciplines.
• Proficient in cloud-native architecture, design and implementation across all systems.
• Proficient in Event Driven Architecture and Application Containerization.
• Proficient in building applications on Public Cloud (AWS, GCP, Azure) development with AWS
• Proficient in building on emerging cloud server less managed services, to minimize/eliminate physical/virtual server footprint.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

Preferred qualifications, capabilities, and skills

• Proficient in designing and developing data pipelines using Databricks Lakehouse to ingest, enrich, and validate data from multiple sources.
• Proficient in re-engineering and migrating on-premises data solutions to and for the public cloud.
• Proficient in implementing security solutions for data storage and processing in the public cloud.
• Proficient understanding of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Cassandra, Hive, HBase etc.