Lead Software Engineer Java Full Stack Developer

JPMorgan Chase & Co.; Hyderabad; Hybride; INR 2 000 000 - 4 000 000; Plein temps

Résumé du poste

JPMorgan Chase & Co. in Hyderabad seeks a Lead Software Engineer to steer the design, build, and delivery of secure, scalable software within Corporate Technology.

You will mentor engineers, shape architecture for zero-downtime deployments, and partner with stakeholders to deliver AI-enabled platforms using AWS, Kubernetes, and modern frameworks.

The role emphasizes high-quality code, data-driven solutions, and cross-functional collaboration across hybrid data ecosystems.

Qualifications

• Significant software engineering experience with formal training or equivalent.
• Strong proficiency in Java and Spring Boot, with working knowledge of SQL and modern front-end frameworks (e.g., React).
• Experience designing scalable, secure, and resilient distributed systems.
• Understanding of modern architecture patterns (microservices, event-driven, API-first).
• Experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as Code.
• Expertise in API design (REST, GraphQL) and integration patterns.
• Hands-on experience building applications on AWS or other public cloud platforms.
• Experience with Generative AI systems, including RAG, LangChain, LlamaIndex, and responsible AI practices.

Responsabilités

• Lead the design, development, and delivery of innovative software solutions, solving complex problems with forward-thinking approaches.
• Build and maintain production-grade code, while mentoring and reviewing the work of other engineers.
• Drive architecture decisions to ensure scalability, resiliency, and zero-downtime deployments.
• Identify opportunities to automate operational processes and eliminate recurring issues, improving platform stability and efficiency.
• Develop and implement data-intensive solutions using Java/Scala on large-scale datasets.
• Design and build AI-enabled applications, including AI Agents and agentic workflows.
• Work across hybrid data ecosystems (AWS, Databricks, Kubernetes).
• Ensure code quality through unit tests, integration tests, and continuous validation practices.
• Collaborate with cross-functional teams to deliver end-to-end solutions aligned with enterprise standards.

Connaissances

Java

Spring Boot

API design

Microservices

Distributed systems

CI/CD

Docker

Kubernetes

AWS

React

Large-scale datasets

Generative AI

LangChain / LlamaIndex

Outils

Docker

Kubernetes

Databricks

AWS

Description du poste

We have an exciting opportunity to advance your career and drive meaningful impact by pushing the limits of modern engineering.

As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will be a key technical leader within an agile team responsible for designing, building, and delivering secure, scalable, and high-performing technology solutions. You will contribute across multiple domains, partnering with business and technology stakeholders to deliver strategic platforms that enable the firm’s objectives.

Job Responsibilities

• Lead the design, development, and delivery of innovative software solutions, solving complex problems with creative and forward-thinking approaches
• Build and maintain high-quality, secure, and production-grade code, while mentoring and reviewing the work of other engineers
• Drive architecture decisions to ensure scalability, resiliency, and zero-downtime deployments
• Identify opportunities to automate operational processes and eliminate recurring issues, improving platform stability and efficiency
• Develop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasets
• Design and build AI-enabled applications, including AI Agents and agentic workflows
• Work across hybrid data ecosystems (AWS, Databricks, Kubernetes)
• Ensure code quality through unit testing, integration testing, and continuous validation practices
• Collaborate with cross-functional teams to deliver end-to-end solutions aligned with enterprise standards

Required Qualifications, Capabilities, and Skills

• Significant experience in software engineering with formal training or equivalent practical expertise
• Strong proficiency in Java and Spring Boot, with working knowledge of SQL and modern front-end frameworks (e.g., React)
• Demonstrated experience in designing scalable, secure, and resilient distributed systems
• Strong understanding of modern architecture patterns (microservices, event-driven, API-first)
• Experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as Code
• Expertise in API design (REST, GraphQL) and integration patterns
• Hands‑on experience building applications on AWS or other public cloud platforms
• Experience with Generative AI systems, including:
  • RAG (Retrieval-Augmented Generation) architecture
  • AI orchestration frameworks (LangChain, LlamaIndex, etc.)
  • LLM evaluation frameworks and responsible AI practices (guardrails, content filtering)

Preferred Qualifications, Capabilities, and Skills

• Deep expertise in Java, object-oriented design, and system design
• Experience with ElasticSearch, Oracle, MongoDB, and modern data platforms
• Proven experience building AI-enabled applications and agentic architecture
• Experience developing reusable AI Agent skills/frameworks to accelerate engineering teams.