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Software Engineer III - Java & Kafka Developer

  • Source: LinkedIn
  • hackajob
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

hackajob** is collaborating with **J.P. Morgan** to connect them with exceptional professionals for this role. **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 JPMorgan Chase within the Commercial & Investment Bank, 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

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • 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
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience with Core Java / Design Patterns: Java 8 +, Multi-threading, Exception Handling, Defensive Programming, Microservices, Java Design Patterns
  • Experience in Software Frameworks: Spring Core Framework, Spring Boot, Spring Integration, Apache Camel, Log4j 2.x / Logback. Testing Frameworks: JUnit, Powermock / Mockito, Cucumber, Mutation Testing, Selenium. Messaging Protocols: Kafka, IBM MQ’ Active MQ, RESTful HTTP. Database: Oracle, MySQL. Distributed Cache: Hazelcast, Redis, Memcached, Gemfire
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • 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.

Preferred Qualifications, Capabilities, And Skills

  • Agile Scrum experience will be an added consideration along with the technical skills set.
  • Knowledge of Payments in Banking domain, AWS/Private Cloud, Docker/Kubernetes will be a plus

ABOUT US

Skills

  • Java
  • Kafka
  • java-8
  • spring
  • spring-boot
  • apache-camel
  • log4j
  • apache-log4j
  • logback
  • JUnit
  • mockito
  • Cucumber
  • selenium
  • ibm-mq
  • oracle
  • mysql
  • hazelcast
  • Redis
  • memcached
  • amazon-pay
  • amazon-web-services
  • Docker
  • Kubernetes
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