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职位JPMorgan Chase

Lead Software Engineer – DevOps / Python / AWS (all genders)

JPMorgan Chase

Lead Software Engineer – DevOps / Python / AWS (all genders)

JPMorgan Chase

Frankfurt a. Main, Germany, DE

·

On-site

·

Full-time

·

3w ago

必备技能

Python

SQL

AWS

Docker

Kubernetes

Terraform

Spark

Jira

Machine Learning

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer – DevOps / Python / AWS at JPMorgan Chase within the Commercial & Investment Bank, you will serve as a seasoned member of an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Our main goal is to automate processes within the European Legal Entity JPMSE by leveraging AWS Cloud and AI solutions. You will be part of a highly qualified team that will enhance your knowledge while implementing cutting-edge solutions.

Job Responsibilities:

  • Develop secure and high-quality production code, and review code written by others.
  • Design and implement scalable cloud-native software solutions using modern technology stacks to deliver highly available, performant, and resilient products.
  • Have a solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, Clean Coding, Object-Oriented Programming, Jira.
  • Create RESTful APIs that are scalable, secure, and efficient.
  • Develop innovative AI/ML solutions and agentic systems utilizing public cloud architecture and modern standards, specifically with AWS
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leverage AWS services for scalable deployments
  • Create and maintain Docker images
  • Execute DevOps responsibilities such as container orchestration, deployments, and infrastructure management using Kubernetes

Required Qualifications, Capabilities, and Skills:

  • Formal training or certification in software engineering concepts and 7+ years of applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced proficiency in one or more programming languages, including Python (FastAPI)
  • Strong AWS skillset: EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB) with strong understanding of cloud architecture and best practices
  • Strong Experienced with CI/CD pipelines, Docker, and Kubernetes.
  • Hands-on Experience in Infrastructure as Code (IAC) - Terraform.
  • Hands-on experience with relational databases (SQL).
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Preferred qualifications, capabilities, and skills

  • Good to have LLM Experience: OpenAI, AWS Bedrock and Agentic AI.
  • Proficient in modern technologies like Spark

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关于JPMorgan Chase

JPMorgan Chase

JPMorgan 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+

员工数

New York City

总部位置

$500B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.8

职业发展

3.0

管理层

2.5

65%

推荐给朋友

优点

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

薪资范围

41个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1份报告

$139,000

年薪总额

基本工资

$107,000

股票

-

奖金

-

$139,000

$139,000

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 20%

中性 80%

负面 0%

面试流程

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study