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Software Engineer II - Full-Stack

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 9 days ago

No clicks

**Software Engineer II - Full-Stack** at JP MorganChase: Design, build, and optimize robust, scalable full-stack platforms supporting core internal services. Leverage AI-assisted coding tools, collaborate cross-functionally, and enhance system reliability. Requires 2+ years of full-stack experience, proficiency in modern languages, and enterprise AI tools. Drive platform innovation, automate workflows, and mentor junior engineers.

Compensation
Not specified

Currency: Not specified

City
Hyderabad
Country
India

Full Job Description

Location: Hyderabad, Telangana, India

Be part of the team developing the tools and platforms that drive the core of our engineering ecosystem. Youll 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 II (Full-stack) at JP MorganChase 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.
  • 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
  • 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.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ 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.
  • 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 outpu
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
  • 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.

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.
Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way

Software Engineer II - Full-Stack

Compensation

Not specified

City: Hyderabad

Country: India

J.P. Morgan logo
Bulge Bracket Investment Banks

9 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer II - Full-Stack** at JP MorganChase: Design, build, and optimize robust, scalable full-stack platforms supporting core internal services. Leverage AI-assisted coding tools, collaborate cross-functionally, and enhance system reliability. Requires 2+ years of full-stack experience, proficiency in modern languages, and enterprise AI tools. Drive platform innovation, automate workflows, and mentor junior engineers.

Full Job Description

Location: Hyderabad, Telangana, India

Be part of the team developing the tools and platforms that drive the core of our engineering ecosystem. Youll 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 II (Full-stack) at JP MorganChase 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.
  • 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
  • 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.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ 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.
  • 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 outpu
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
  • 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.

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.
Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way