Lead Software Engineer - Python/Django + ReactJS, AI‑Driven Dev

JP Morgan Chase

Hyderabad City Taluka

In loco

PKR 3.000.000 - 6.000.000

Tempo pieno

4 giorni fa

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Descrizione del lavoro

JPMorgan Chase is seeking a Lead Software Engineer within the Infrastructure Platforms team to push the limits of scalable, secure technology products across multiple business functions. You will be a core technical contributor shaping architecture, development, and operational stability.

Responsibilities include building self-service tools, integrating automation with CI/CD and cloud/on-prem platforms, and leading AI-assisted engineering practices to improve code quality and delivery speed.

Competenze

Formal training or certification on software engineering concepts and 5+ years applied experience.
Extensive experience in coding applications using ReactJS / NodeJS/ Python / Django / Databases.

Mansioni

Build and enhance self-service tools, APIs, and interfaces that empower users to request, manage, and monitor database resources with minimal manual intervention.
Integrate database automation workflows with enterprise platforms, CI/CD pipelines, and cloud/on-prem infrastructure using scripting languages (Python, etc.) and automation frameworks.
Execute creative software solutions, design, development, and technical troubleshooting by thinking beyond routine or conventional approaches to build solutions or break down technical problems.
Develop secure, high-quality production code, and review and debug code written by others.
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
Design, develop, and optimize complex T-SQL queries, stored procedures, functions, and triggers to support business applications and data processing needs.
Deliver hands-on practical experience in system design, application development, testing, and operational stability.
Collaborate with cross-functional teams to deliver business solutions and ensure operational stability and performance of developed applications.
Drives team adoption of enterprise-authorised AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorised AI-assisted development and automation capabilities, to improve the value realised by automation.