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JPMorgan Senior Lead Software Engineer - Fullstack & AWS 
India, Telangana, Hyderabad 
117735028

29.05.2025

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 applied experience
  • Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments.
  • Profecient experience with SQL, CI/CD pipeline, Github, AWS or Azure or GCP required
  • Hands-on Full stack web application development experience with expertise in front end(reactjs,angular) and backend(Java) technologies with micro services architecture
  • 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
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Practical AWS cloud native experience