JPMorgan Sr Lead Software Engineer - Java 

India, Karnataka, Bengaluru 

118238191

Job responsibilities

• Provide guidance to immediate team of software engineers on daily tasks and activities
• Set the overall guidance and expectations for team output, practices, and collaboration
• Anticipate dependencies with other teams to deliver products and applications in line with business requirements
• Manage stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
• Create a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation
• Be responsible for design, development, testing, releasing, and monitoring of data platform engineering tools and supporting services using agile methodology
• Write technical documentation such as architecture diagrams, service specifications, run books and user manuals
• Learn new skills and keep up with industry innovations to deliver solutions to automate manual or cumbersome work
• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Understanding of architecture and design across all systems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• AJava (11/17), Maven, GIT
• Experience working with CI/CD pipelines and modern deployment strategies
• Spring Boot, RESTful APIs, GraphQL
• Experience in architecture and design of microservices
• Cloud Development (e.g. AWS, Cloud Foundry, etc.)

• SQL, Spring Data
• NoSQL (e.g. MongoDB, DynamoDB, Elasticsearch, etc.)
• Messaging (e.g. SQS, Kafka, RabbitMQ, etc)
• Data Lake/Mesh & Analytics Technology (e.g. Snowflake, Starburst, Databricks, etc.)
• Domain-driven design
• Other programming languages (e.g. Python, JavaScript, TypeScript, etc)
• Open table format (e.g. Iceberg, Hudi, Delta)