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Location
In office (Mumbai)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 3, 2026. Campbell Global scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Campbell Global brings more than three decades of experience and leadership to sustainable timberland and natural resource investment management.

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

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • 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.
  • 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
  • Design, develop, and maintain Java-based backend services and React 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.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • 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.
  • Proficiency developing React applications using components, hooks, and state management.
  • 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.

Preferred qualifications, capabilities, and skills

  • 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.
  • Automated unit, integration, and end-to-end testing; performance testing is a plus.
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