JPMorgan Lead Software Engineer - Java AWS Cloud Engineering 

India, Telangana, Hyderabad 

709066916

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
• Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Subject matter expertise in Financial Services and/or Data Engineering/Architecture
• Hands-on experience with AWS data lake and/or analytics technologies:
• AWS Lake Formation, AWS Glue, AWS Athena, EMR, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2
• Technical knowledge of data management and governance, and database systems including AWS Aurora, Cassandra, Oracle, Cockroach and DB2
• Technical knowledge of Apache Kafka and REST API
• Working experience on Micro-Service architecture based application using Java and Spring
• Proficiency in both relational and NoSQL databases​ with working knowledge in data modeling tools and software (e.g., Erwin, SQL)
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Demonstrated ability to build self-service, self-healing, highly scalable and secure cloud software capabilities

• AWS Certification(s)
• Hands-on experience with Python
• Working experience in Big Data platform technologies: HDFS, Hive, Yarn, Spark, or Kafka
• Knowledge and working experience with testing, releasing, and CI/CD pipeline deployments into AWS using:
  • Tools: Bitbucket, Terraform