Falahly is an AI-powered job matching platform for the MENA (Middle East and North Africa) region. It uses vector embeddings and skill ontology matching to connect job seekers with relevant positions in UAE, Saudi Arabia, Egypt, Qatar, Kuwait, Bahrain, and beyond.

How does Falahly's AI job matching work?

Falahly analyzes your CV using AI to extract skills, experience level, and career trajectory. It then matches your profile against 50,000+ active job listings using semantic vector similarity and an ontology-aware skill matching system — going beyond keyword matching to understand what you actually know.

What countries does Falahly cover?

Falahly covers the full MENA region including UAE (Dubai, Abu Dhabi), Saudi Arabia (Riyadh, Jeddah), Egypt (Cairo), Qatar (Doha), Kuwait, Bahrain, Jordan, Oman, Lebanon, Morocco, and Tunisia.

Is Falahly free for job seekers?

Yes, Falahly is free for job seekers. You can upload your CV, get AI-powered job matches, and apply to positions without any cost. Premium features like in-depth skill gap analysis and CV optimization insights are available as optional upgrades.

How do I post a job on Falahly?

Employers can post jobs and access Falahly's candidate database through the Employer portal at https://falahly.com/employers. Contact us at support@falahly.com for enterprise plans and bulk posting options.

How do I apply for the Software Engineer III - Full Stack job at JP Morgan?

Click the Apply Now button on this page to apply for the Software Engineer III - Full Stack position at JP Morgan. You will be redirected to the original job listing to complete your application.

Where is the Software Engineer III - Full Stack position located?

This Software Engineer III - Full Stack role is based in Jersey City, United States.

Software Engineer III - Full Stack

🏢 JP Morgan

📍 Jersey City, United StatesFull-timeOn-site

📅 Posted: 1mo ago🔄 Updated: 1mo ago

CV%

✨ AI Summary

As a Software Engineer III at JPMorgan Chase, you will be a seasoned member of an agile team designing and delivering technology products. You will develop end-to-end AI-enabled products, owning features across backend and frontend, deploying to cloud infrastructure, and integrating LLM/agent capabilities into production systems. Key responsibilities include designing and building Python services and APIs, creating maintainable UIs with React and modern JavaScript/TypeScript, and integrating LLM APIs. You will develop cloud-native systems using containers and microservices, primarily on AWS, and work with PostgreSQL/Aurora. The role emphasizes practical delivery, strong fundamentals, and clear collaboration, leveraging enterprise-authorized AI coding assist tools to improve code quality and delivery speed.

Required Skills

Information Technology

○Python○React○JavaScript○TypeScript○REST API○Git○TestNG○Debugging○PostgreSQL○AWS○Containerization○Microservices○Large Language Models○CI/CD

Other

○agent frameworks

Business, Sales & Management

○Agile

Nice to have:

Information Technology

○Model Context Protocol○AI Agents○RAG○Prompt Engineering○Kubernetes○EKS○Lambda○Infrastructure as Code○OpenTelemetry

Other

○Arize Phoenix

Requirements

Requires formal training or certification in software engineering concepts and 3+ years of applied experience. Must have strong Python skills, solid React with modern JavaScript/TypeScript for UIs, and cloud-native development experience (AWS preferred). Hands-on experience building with LLMs and agentic AI, working knowledge of relational databases, and experience using enterprise-authorized AI-assisted software development tools are essential. Understanding of responsible AI use and agile methodologies like CI/CD, application resiliency, and security is also required.

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 JPMorganChase within the Corporate Sector, 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 will develop end-to-end AI-enabled products; own features across backend and frontend, deploy to cloud infrastructure, and integrate LLM/agent capabilities into production systems. The role values practical delivery, strong fundamentals, and clear collaboration.

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
Design and build clean, testable Python services and APIs; optimize for reliability and performance. Build maintainable UIs using React and modern JavaScript/TypeScript. Integrate LLM APIs and/or agent frameworks into real workflows and user experiences. Develop cloud-native systems using containers, microservices, and AWS (preferred).
Work with PostgreSQL/Aurora: schema design, querying, and state/session management patterns. Write tests, debug issues, review code, and ship iteratively in a fast-paced environment.
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

Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Strong Python (clean architecture, testing, performance awareness), Solid React + modern JavaScript/TypeScript for functional, maintainable UIs. Cloud-native development experience: containers + APIs/microservices + at least one major cloud (AWS preferred).
Hands-on experience building with LLMs and agentic AI (LLM APIs and/or frameworks such as Google ADK, LangGraph, or similar) production or real deployed work, not just prototypes.
Working knowledge of relational databases (PostgreSQL/Aurora), including schema design and query patterns. Strong fundamentals: data structures, REST/APIs, Git, testing, debugging.
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.
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
Familiarity with the Model Context Protocol (MCP) or building tools/plugins for AI agents.
Experience with RAG, prompt engineering, evaluations, and/or production guardrails.
Kubernetes/EKS, AWS Lambda, and infrastructure-as-code.
Observability/tracing tooling (e.g., OpenTelemetry, Arize Phoenix).
Experience in regulated/enterprise environments with security and governance requirements.