JPMorgan Lead Software Engineer - Python & AWS 

India, Karnataka, Bengaluru 

675520745

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
• 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
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Hands-on software engineering expertise with Python
• Demonstrated AWS cloud expertise and hands-on AWS full stack software engineering experience
• Hands-on experience with AWS data lake that includes AWS Lake Formation, AWS Glue, AWS Athena, EMR, AWS ECS, AWS EKS, AWS S3, AWS EC2
• Working experience in Big Data platform technologies: HDFS, Hive, Yarn, Spark, or Kafka

• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Knowledge and working experience with testing, releasing, and CI/CD pipeline deployments into AWS using Bitbucket, Terraform, SonarCube, Vericode, Jenkins, Artifactory, DataDog, and ServiceNow
• Demonstrated strength in leading micro-services based software development engineering teams
• Demonstrated strength in applying DevSecOps and DevOps development practices