Software Engineer III - Full stack - Java, microservice, messaging, AWS, REACT

TigerHire; Mumbai; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

JPMorganChase in Mumbai seeks a seasoned Software Engineer III to join the US Wealth Management Tech group. You will design, develop, and deliver scalable Java backend services and Python Databricks workloads.

The role emphasizes REST/api development, microservice resilience, and AWS deployments in a fast-paced agile environment. You will collaborate with product, design, and engineering peers, lead end-to-end delivery, and contribute to secure coding practices and observability through modern

Qualifications

• 3+ years in full stack/software engineering with Java, microservices, AWS.
• Strong Java fundamentals, OOP, collections, and concurrency.
• Experience with microservices, REST APIs, and event-driven patterns.
• Experience with Kafka or RabbitMQ and AWS services like EC2, S3, Lambda, ECS/EKS.

Responsibilities

• Design, develop, and maintain Java-based backend services and Python Databricks apps.
• Build and integrate REST APIs and event-driven services.
• Apply resilient microservice design, service decomposition, and inter-service communication.
• Deploy and support applications on AWS.
• Write tests, participate in code reviews, and troubleshoot production issues.
• Collaborate with product, design, and engineering partners across delivery.
• Leverage AI coding assist tools; validate outputs via peer review and secure coding.

Skills

Java

Microservices

AWS fundamentals

REST APIs

Python scripting

Databricks

React

Messaging (Kafka/RabbitMQ)

CI/CD (Docker/Kubernetes)

Observability tools (ELK, Prometheus,

DevOps practices

MLOps basics

AI-assisted development tools

Education

Formal training or certification in software engineering

Tools

Kafka

RabbitMQ

AWS

Docker

Kubernetes

Databricks

ELK/Prometheus/Grafana

CloudWatch

API Gateway

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the JPM - US Wealth Management Tech, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Design, develop, and maintain Java-based backend services and python based Databricks applications.
• Build and integrate REST APIs and event-driven services.
• Apply resilient microservice design practices, including service decomposition and inter-service communication.
• Deploy and support applications on AWS.
• Write and maintain automated tests, participate in code reviews, and help troubleshoot production issues.
• Collaborate with product, design, and engineering partners throughout delivery demonstrating end-to-end ownership.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience in full stack/software engineering roles with strong Java, Microservices, Messaging, React, and AWS fundamentals.
• Hands-on Java experience, including Core Java, object-oriented design, collections, and concurrency.
• Experience building and supporting microservices and REST APIs. Deep knowledge of microservice architecture: service decomposition, inter-service communication, resilience patterns
• Experience with messaging or event-streaming technologies such as Kafka or RabbitMQ. Experience deploying or operating applications on AWS, using relevant services such as EC2, Lambda, S3, ECS/EKS, or API Gateway.
• Understanding of relational or NoSQL databases and secure software development practices.
• Proficient in Python for scripting, automation, and backend/data processing tasks. Exposure to Databricks for data engineering/analytics workloads.
• Observability practices, including logging, metrics, and distributed tracing; familiarity with tools such as ELK, Prometheus, Grafana, or CloudWatch.
• DevOps practices — Production monitoring, alerting, and reliability practices. CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and infrastructure as code.
• Familiarity with MLOps practices — model deployment, monitoring, versioning, CI/CD for ML pipelines. Experience with containerization (Docker) and orchestration (Kubernetes).
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.