Software Engineer III - Java, microservice, AWS, Databricks, MLOps

JP Morgan Chase

Mumbai

On-site

INR 2,400,000 - 4,500,000

Full time

35 hours ago
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Job summary

JP Morgan Chase is seeking a Software Engineer III to design, develop, and maintain Java-based backend services and Databricks data pipelines in an agile environment. You will work on microservices, REST APIs, and AWS deployments to deliver scalable financial technology solutions.

You will collaborate with product, design, and engineering teams, implement CI/CD, ensure secure coding practices, and apply MLOps principles to ML workloads while improving code quality and delivery speed.

Qualifications

  • Formal training or certification in software engineering or related field; 3+ years of experience in full-stack/software engineering roles with strong Java, Microservices, Messaging, React, and AWS fundamentals.
  • Proficiency in Java with experience in Core Java, OOP, collections and concurrency.
  • Experience building microservices, REST APIs; knowledge of Kafka/RabbitMQ; AWS deployment using EC2/Lambda/S3/ECS/EKS/API Gateway.

Responsibilities

  • Design, develop, and maintain Java-based backend services and Python-based Databricks applications.
  • Build and integrate REST APIs and event-driven services.
  • Deploy and support applications on AWS.
  • Write and maintain automated tests, participate in code reviews, and troubleshoot production issues.
  • Collaborate with product, design, and engineering teams throughout delivery, ensuring end-to-end ownership.
  • Leverage AI-assisted development tools, maintain secure coding standards, and contribute reusable patterns.

Skills

Java
Microservices
AWS
Python
Databricks
MLOps
REST APIs
Kafka/RabbitMQ
Docker
Kubernetes
React

Tools

EC2
S3
Lambda
ECS/EKS
API Gateway
Docker
Kubernetes
Databricks
Prometheus
Grafana

Job description

Software Engineer III - Java, microservice, AWS, Databricks, MLOps
  • Job Identification 210806262
  • Job Category Software Engineering
  • Business Unit Consumer & Community Banking
  • Posting Date 11/04/2026, 05:16 AM
  • Locations VENTURA TOWERS,2ND3RD,4TH,5TH And 8TH, PART FLRS,HIRANANDANI BUSINESS , PARK,C.A.RD,POWAI, Mumbai, IN-MH, 400076, IN
  • Apply Before 11/09/2026, 05:00 AM
  • Job Schedule Full time
  • Job Shift Day
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.

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