Parel Maharashtra Java full stack developer Jobs – 168 Open Jobs Today

Software Engineer II - Java, UI, Spark, Kafka
JPMorganChase —Mumbai, Maharashtra
- Full-time
- Oracle
- Software troubleshooting
- Java
4d
Full Stack Developer
Mindspace Software Technologies Pvt. Ltd. —Ghansoli, Navi Mumbai, Maharashtra
- Full-time
- Computer Science
- Java
- SQL
Quick apply
Java Full Stack Software Engineer
Institutional Shareholder Services —Mumbai, Maharashtra
- Full-time
- Computer Science
- Java
- SQL
Java Fullstack Developer
Capgemini Sogeti —Mumbai, Maharashtra
- Java
- SQL
- JavaScript
Software Developer
Pluxee —Mumbai, Maharashtra
- Full-time
- Spanish
- Computer Science
- System design
T&T-EAID-Engineering- Senior Consultant | Java Full stack | Mumbai
Deloitte —Mumbai, Maharashtra
- Azure
- DevOps
- English
Tech Lead - Java Full Stack Developer
Crimson Interactive —Mumbai, Maharashtra
- Full-time
- DevOps
- Java
- Master's degree
Manager -Java Full Stack Developer
XLIT Solutions —Andheri, Mumbai, Maharashtra
- Java
- Master's degree
- Databases
PHP Full Stack Developer
InspironLabs —Mumbai, Maharashtra
- Full-time
- Java
- Master's degree
- Databases
Java Full Stack Engineer
Institutional Shareholder Services —Mumbai, Maharashtra
- Full-time
- Azure
- Oracle
- Computer Science
Full Stack Developer
WSFx Global Pay —Mumbai, Maharashtra
- Java
- Master's degree
- Databases
Java Fullstack Developer
Capgemini —Mumbai, Maharashtra
- Java
- SQL
- JavaScript
Senior Software Engineer - Java Angular
NEC Software Solutions (India) —Mumbai, Maharashtra
- Full-time
- Oracle
- Windows
- Java
Quick apply
Software Engineer II
JPMorganChase —Mumbai, Maharashtra
- Full-time
- Oracle
- Software troubleshooting
- System design
1d
Full Stack Developer
Ray Adcomm —Andheri, Mumbai, Maharashtra
- Java
- Master's degree
- Bachelor's degree
Full Stack Developer
Bluphlux —Mumbai, Maharashtra
- Full-time
- Azure
- DevOps
- Java
Full Stack Developer - Angular & java Mira Road , Mumbai
Richas Techpro —Mumbai, Maharashtra
- Email
- Java
- JavaScript
- Agile
Senior Software Engineer - Java
Zycus —Mumbai, Maharashtra
- Full-time
- Java
- Project management
- Mentoring
Management Trainee / Product Coordinator
PCDS Infotech —Mumbai, Maharashtra
- ₹2,40,000 - ₹7,00,000 a year
- Email
- Hybrid work
- Microsoft Office
- Java
- Internship
SDE 3 - Fullstack (Angular Js + Java) - Crimson Interactive
Crimson Interactive —Mumbai, Maharashtra
- Full-time
- English
- Research
- Java

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Software Engineer II - Java, UI, Spark, Kafka

JPMorganChase -
Mumbai, Maharashtra

Apply Now

Job details

Full-time
4 days ago

Qualifications

Spring Boot
CI/CD
Oracle
CSS
Software troubleshooting
React
Kubernetes
Full-stack development
Relational databases
Spark
Git
Apache Hive
Java
Databases
Microservices
SQL
Docker
JavaScript
PostgreSQL
Continuous integration
Back-end development
REST
Angular
Software development
APIs
Agile
Kafka
GraphQL
Metadata
AI
TypeScript
Communication skills
Spring framework
HTML
SDLC

Full job description

JOB DESCRIPTION

You're ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II - Java Full Stack Developer at JPMorgan Chase within the Commercial & Investment Bank, you'll be a part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

Design, build, and maintain end-to-end full-stack solutions using Java technologies and modern UI frameworks.
Develop and support backend services and APIs (REST/GraphQL as applicable), including authentication/authorization, integration patterns, and error handling.
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
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
Build responsive, accessible frontend experiences and reusable UI components aligned to engineering standards.
Enable data-centric use cases by integrating with data platforms, data services, and event streams to expose reliable datasets and metrics to upstream/downstream consumers.
Collaborate with the data horizontal team to improve data quality, observability, lineage, and governance where required by the applications.
Apply strong engineering practices: code reviews, unit/integration testing, CI/CD, performance tuning, and production support.
Contribute to system design discussions and drive non-functional requirements (security, resiliency, scalability, latency).
Troubleshoot complex production issues across UI, services, and data interactions; implement sustainable fixes and automation.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
Professional software engineering experience with significant full-stack delivery.
Strong proficiency in Java and enterprise backend development (e.g., Spring / Spring Boot).
Experience building microservices and well-designed APIs (REST).
Solid understanding of frontend development with at least one modern framework (e.g., React, Angular, or Vue) plus HTML/CSS/TypeScript/JavaScript.
Strong knowledge of relational databases and SQL (e.g., PostgreSQL/Oracle), including schema design and query optimization.
Hands-on experience with engineering practices such as CI/CD pipelines, automated testing, and source control (Git).
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
Practical knowledge of security concepts (OAuth2/JWT, secure coding, secrets management) and production readiness.
Strong problem-solving skills, ability to work across teams, and excellent written/verbal communication.

Preferred qualifications, capabilities, and skills

Experience with data engineering and data platform integrations, such as: Messaging/streaming: Kafka (or equivalent), Data processing: Spark (or equivalent), Data warehousing/lakes: Snowflake/Databricks/Hive (or similar), Orchestration: Airflow (or similar)
Familiarity with data governance concepts: metadata/lineage, data quality checks, access controls, and auditability.
Experience with observability tooling: centralized logging, metrics, tracing (e.g., OpenTelemetry concepts).
Containerization and orchestration: Docker and Kubernetes (or equivalent).
Domain exposure to loan origination / servicing systems or regulated financial workflows (helpful but not required).

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