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Lead Software Engineer - Lead Software Engineer - Java, AWS, Kafka, Apache Flink

JPMorgan Chase
Hyderabad, IND
Full-time
Lead · 5+ years experience
Onsite
Discovered Today
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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
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • 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

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
  • Proficiency in back-end technologies (e.g., Java, Springboot, Node.js ) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).
  • Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
  • Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
  • Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Proficient in all aspects of the Software Development Life Cycle including advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Led design and delivery of Kafka-based event streaming platforms/services in high-throughput (high TPS) environments; deep experience with event-driven architecture patterns and distributed systems reliability. Proven ability to lead technical direction: drive architecture decisions, write/own design docs, align stakeholders, and deliver through ambiguity.
  • Experience improving operability (SLOs/SLAs, on-call readiness, monitoring, incident response, postmortems) for streaming systems. Hands-on experience building and operating high-volume data processing pipelines using Apache Spark (Spark SQL, Structured Streaming) and/or Apache Flink (DataStream/Table API) in production.

Preferred qualifications, capabilities, and skills

  • Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to drive broader impact by sharing and contributing best practices.
  • AWS certification.

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