Iii database engineering Jobs

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Software Engineer III - Full Stack

JPMorganChase -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
1 day ago

Qualifications

CI/CD
Cloud infrastructure
Go
Kubernetes
Full-stack development
DevOps
NoSQL
Java
Microservices
SQL
Docker
JavaScript
Continuous integration
REST
Software development
APIs
AI
TypeScript
Python
SDLC

Full job description

JOB DESCRIPTION

Be part of the team developing the tools and platforms that drive the core of our engineering ecosystem. You'll design impactful solutions focused on scalability and operational efficiency, while partnering with experts to address real-world technical challenges. Shape the infrastructure that empowers teams, unlocks innovation, and fosters continuous growth for yourself and your peers.

Job summary

As a Software Engineer III (Full-stack) at JPMorgan Chase within the Infrastructure Platforms team, you will architect, build, and optimize software systems that support core internal services and tools. Your role centers on designing, implementing, and evolving robust platform solutions, collaborating with cross-functional partners to translate user needs and operational bottlenecks into high-quality applications. You will contribute to the technical direction of the team, take responsibility for end-to-end delivery, and help establish engineering standards that advance reliability, efficiency, and maintainability.

Job responsibilities

Design, develop, and deploy scalable full-stack platform tools for infrastructure teams.
Enhance reliability and performance of critical internal systems through engineering best practices.
Collaborate with engineering and operations groups to understand requirements and deliver solutions.
Integrate new technologies and frameworks into platform services to improve developer productivity.
Automate workflows and monitoring processes to streamline operations and reduce manual effort.
Review code, mentor junior engineers, and contribute to team knowledge sharing.
Participate in planning, testing, and release processes to ensure robust software delivery.
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
Professional experience building full-stack applications for infrastructure or platform teams.
Proficiency in modern programming languages such as JavaScript/TypeScript, Python, Java, or Go.
Experience developing and deploying microservices and web applications using popular frameworks.
Strong grasp of database systems (SQL and NoSQL), RESTful APIs, and cloud infrastructure concepts.
Familiarity with CI/CD pipelines, DevOps practices, and automated testing methodologies.
Demonstrated ability to work cross-functionally on complex projects and deliver high-quality results.
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

Experience with container orchestration tools (Kubernetes, Docker) in production environments.
Knowledge of observability, monitoring, and logging solutions for large-scale systems.
Background in security compliance or distributed infrastructure design.
Contributions to open source or active participation in developer communities.

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