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 Senior Lead Software Engineer job at JP Morgan?

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

Where is the Senior Lead Software Engineer position located?

This Senior Lead Software Engineer role is based in Plano, United States.

Senior Lead Software Engineer

🏢 JP Morgan

📍 Plano, United StatesFull-timeOn-site

📅 Posted: 1w ago🔄 Updated: 1w ago

CV%

✨ AI Summary

This role is for a Senior Lead Software Engineer focused on building secure and scalable software and enabling responsible AI-assisted engineering within consumer banking technology. The engineer will be part of an agile team, enhancing and delivering technology products. Key responsibilities include executing software solutions, driving team adoption of AI-assisted engineering practices, creating secure production code, producing architecture and design artifacts, and proactively identifying problems in data to drive improvements. The role requires strong knowledge of computer science fundamentals, algorithms, data structures, and practical experience with Java, Spring Framework, RESTful APIs, Kafka, Postgres SQL, Microservices, CI/CD, Jenkins, Git, and cloud platforms like AWS, GCP, Azure, and Kubernetes.

Required Skills

Information Technology

○Software Engineering○SSIS○Test Automation○Algorithms○Data Structures○Java○Spring Boot○REST API○Kafka○PostgreSQL○Microservices○CI/CD○Jenkins○Git○Data Modeling○Database Design○AWS○GCP○Azure○Kubernetes

Other

○test strategy acceleration○incident analysis○secure coding○peer review○software development○Spring Framework○Spring MVC○Spring Data○Bitbucket

Soft Skills & Professional Competencies

○Root Cause Analysis

Nice to have:

Information Technology

○SLA Management○Lambda

Other

○AWS S3○AWS EC2○AWS EKS○AWS IAM○Cloud development○Container based development○Gaia

🎁 Benefits & Perks

comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience. 8+ years of software development experience. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices. Strong understanding of computer science fundamentals, algorithms, and data structures. Strong knowledge and practical experience with Java, Spring Framework (Spring Boot, Spring MVC, Spring Data), RESTful APIs, Kafka, Postgres SQL and Microservices architectures. Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket. Proficiency in designing and implementing data models for relational databases. Experience with using relational database like Postgres SQL. Experience working on Cloud platform (AWS/GCP/Azure/Kubernetes).

Description

Job responsibilities:

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Drives team adoption of enterprise-authorized 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-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills:

Formal training or certification on software engineering concepts and 5+ years applied experience.
8+ years of software development experience.
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Strong understanding of computer science fundamentals, algorithms, and data structures.
Strong knowledge and practical experience with Java, Spring Framework (Spring Boot, Spring MVC, Spring Data), RESTful APIs, Kafka, Postgres SQL and Microservices architectures.
Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.
Proficiency in designing and implementing data models for relational databases.
Experience with using relational database like Postgres SQL.
Experience working on Cloud platform (AWS/GCP/Azure/Kubernetes).