
Global financial services firm
Lead Software Engineer - Full Stack AI/ML
必須スキル
React
Angular
Kafka
Figma
Machine Learning
- As a Full Stack Software Engineer at JPMorgan Chase within the Corporate Sector
- Data Center Services team, you would be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities:
- Implements creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Develops secure high-quality production code and collaborates with team members to ensure code quality and consistency.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Leads evaluation sessions with internal and external teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
- Design and deliver AI enabled features for Data Center Services, including time series anomaly detection, predictive capacity planning, ticket NLP, and knowledge retrieval.
- Participate in communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
- Contributes to team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced knowledge in frontend development with Angular.
- In-depth knowledge in state management leveraging NGRX.
- Skilled in designing and executing functional and integration tests for Angular applications.
- Beginner/Intermediate knowledge in frontend development with React.
- Advanced knowledge in backend development with NodeJS.
- Proficiency in all aspects of the Software Development Life Cycle.
- Proficiency in mock-up designs using tools such as Figma.
- Understanding of agile ceremonies such as Scrum, stand-ups, retrospectives, and sprint planning, fostering effective team collaboration and continuous improvement.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
Preferred qualifications, capabilities, and skills:
- Computer vision experience (OpenCV and deep learning frameworks).
- Model evaluation frameworks and automated test sets for both classical ML and LLMs.
- Understanding of Event Driven Architecture (Kafka).
- Knowledge of MySQL.
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JPMorgan Chaseについて

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
従業員数
New York City
本社所在地
$500B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.5
報酬
4.0
企業文化
3.8
キャリア
3.2
経営陣
2.8
68%
知人への推奨率
良い点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
改善点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
給与レンジ
44件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1件のレポート
$139,000
年収総額
基本給
$107,000
ストック
-
ボーナス
-
$139,000
$139,000
面接レビュー
レビュー4件
難易度
3.0
/ 5
期間
14-28週間
内定率
50%
体験
ポジティブ 25%
普通 75%
ネガティブ 0%
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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