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JPMorgan Lead Software Engineer - Python & AWS 
India, Karnataka, Bengaluru 
675520745

09.07.2024

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
Preferred qualifications, capabilities, and skills
  • 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