招聘
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Experience & Technical Leadership:
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8+ years of progressive experience in Applications Development or Systems Analysis, with a substantial and demonstrated focus on Python technologies.
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Proven experience in successfully leading, architecting, and delivering complex software development projects from inception to production deployment.
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Demonstrated expertise in technical leadership, including providing guidance, mentorship, and conducting comprehensive code reviews for development teams.
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Subject Matter Expert (SME) in Python application development, encompassing advanced knowledge of frameworks (e.g., Django, Flask, FastAPI), best practices, and design patterns.
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Strong proficiency in software architecture principles, distributed system design patterns (e.g., Microservices, Event-Driven Architecture), and object-oriented programming.
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Core Technical Proficiency:
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Expert-level knowledge of Python and its robust ecosystem, with extensive hands-on experience in building scalable, resilient, and high-performance applications.
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Extensive experience with various database technologies, including relational databases (e.g., PostgreSQL, Oracle, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra, Redis).
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Proven expertise in designing, developing, and consuming secure RESTful APIs and other inter-application integration patterns.
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Hands-on experience with CI/CD systems (e.g., Jenkins, GitLab CI, GitHub Actions) and establishing robust automated deployment pipelines.
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Strong background in cloud platforms (e.g., AWS, Azure, GCP), including significant experience with containerization (Docker) and container orchestration (Kubernetes).
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Advanced troubleshooting, debugging, and performance optimization skills for complex, distributed applications and systems.
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Proficiency in automated testing frameworks (e.g., Pytest, unittest) and a strong advocate for Test-Driven Development (TDD) methodologies.
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Solid understanding of secure coding practices and application security principles (e.g., OWASP Top 10, data encryption, access control mechanisms).
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Expertise in modern version control systems, particularly Git, including advanced branching strategies and pull request workflows.
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Artificial Intelligence (AI) Proficiency:
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Exposure with AI/Machine Learning tools, frameworks (e.g., Tensor Flow, Py Torch, scikit-learn), and platforms.
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Practical experience using any of AI tools such as Copilot, Devin, Windsurf, Antigravity, and AI models like Claude/Gemini/GPT.
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Experience with Agentic AI tools and their application in development workflows, exposure in writing Agents, Skills and creating Agentic frameworks
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Understanding and practical application of Generative AI concepts and tool usage.
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Methodology & Professional Skills:
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Deep understanding and practical experience with Agile/Scrum methodologies and fostering collaborative development environments.
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Exceptional ability to adjust priorities dynamically and manage multiple tasks effectively as circumstances dictate.
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Demonstrated leadership and project management skills, including stakeholder communication and resource allocation.
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Consistently demonstrates clear, concise, and effective written and verbal communication skills for technical and non-technical audiences.
Desirable Qualifications:
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Polyglot Programming Exposure:
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Experience or familiarity with Java development, particularly within enterprise-level application contexts.
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Big Data & Analytics Exposure:
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Exposure to Big Data technologies (e.g., Apache Spark, Hadoop, Kafka) and experience in building data processing pipelines.
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Familiarity with data warehousing concepts and relevant tools.
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Frontend Development:
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Knowledge of modern frontend frameworks (e.g., React, Angular, Vue.js) for full-stack development capabilities.
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Cloud & Industry Certifications:
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Relevant cloud certifications (e.g., AWS Certified Developer, Azure Developer Associate, Google Cloud Professional Developer).
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Industry certifications in project management (e.g., PMP) or Agile methodologies (e.g., CSM, CSPO).
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Domain Knowledge:
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Understanding of financial services industry domain, regulatory requirements, and compliance standards.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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关于Citigroup

Citigroup
PublicCitigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.
10,001+
员工数
New York City
总部位置
$86B
企业估值
评价
3.7
10条评价
工作生活平衡
4.0
薪酬
2.8
企业文化
4.2
职业发展
3.5
管理层
3.3
68%
推荐给朋友
优点
Good work-life balance
Supportive management and colleagues
Good benefits
缺点
Low/uncompetitive salary and pay
Poor management and lack of direction
Heavy workload and long hours
薪资范围
38个数据点
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Business Risk Intermediate Analyst
1份报告
$77,165
年薪总额
基本工资
$67,100
股票
-
奖金
-
$77,165
$77,165
面试经验
3次面试
难度
3.3
/ 5
时长
14-28周
体验
正面 0%
中性 33%
负面 67%
面试流程
1
Application Review
2
HR Screen
3
Technical Assessment
4
Hiring Manager Interview
5
Final Round Interview
6
Offer Decision
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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