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If you are a Lead Python Developer Position looking for excitement, challenge and stability in your work, then you would be glad to come across this page.
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
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Role: Lead Python Developer
Location: NYC (Onsite)
EXP:8+ Years
We are seeking a Lead Python Developer with 10+ years of experience to design, develop, and deploy scalable, enterprise-grade solutions within the financial services domain . The ideal candidate will have deep expertise in Python, distributed data processing, cloud-native architecture, and API-driven microservices, especially in quantitative engineering for interest rate derivatives within a SWAP QE environment. This role demands hands-on experience in big data, cloud infrastructure, and modern DevOps practices , alongside a strong understanding of financial systems and high-volume transactional platforms.
Design and lead the development of high-performance Python-based applications for financial risk and derivatives modeling.
Build and optimize large-scale data pipelines using PySpark , Databricks , AWS Glue , and Apache Spark .
Architect and develop RESTful and GraphQL APIs using FastAPI , Flask , or Django , ensuring seamless integration with front-end and data layers.
Implement and maintain robust ETL pipelines for structured and unstructured data; apply data wrangling, cleaning, and transformation techniques using Pandas, Polars, etc.
Leverage machine learning and predictive analytics for data-driven decision-making in real-time financial applications.
Lead DevOps automation using Docker , Kubernetes , Terraform , and CI/CD pipelines on AWS .
Design and implement serverless architectures , manage API Gateways , and ensure cloud security best practices .
Guide teams in Agile delivery methodologies (Scrum, Kanban, SAFe) with a focus on cross-functional collaboration and iterative delivery.
Conduct code reviews , enforce code quality , and ensure maintainability through test-driven development (TDD) with PyTest , Selenium , and continuous testing strategies.
Work with message-driven systems using Kafka and RabbitMQ to build real-time data ingestion pipelines.
Develop and maintain high-performance databases , tuning SQL/PLSQL queries and using PostgreSQL , MongoDB , Redis , and Oracle .
Drive web scraping and automation efforts using Selenium , Scrapy , BeautifulSoup , and Airflow for task orchestration and job scheduling.
Collaborate with data science and business teams to integrate AI/ML models into production workflows.
10+ years of hands-on experience in Python development with leadership responsibilities.
Deep understanding of interest rate derivatives , quantitative modeling , and financial instruments .
Proven expertise in:
Python frameworks : FastAPI, Flask, Django
Data engineering : PySpark, Pandas, Polars
Big data & ETL : Apache Spark, Databricks, AWS Glue
Cloud platforms : AWS (Lambda, API Gateway, S3, etc.)
Infrastructure : Docker, Kubernetes, Terraform
DevOps : Jenkins, GitLab CI, CI/CD pipelines
API Design : RESTful & GraphQL APIs
Databases : PostgreSQL, MongoDB, Redis, Oracle, PL/SQL
Messaging Systems : Kafka, RabbitMQ
Solid experience with Agile practices , including Scrum and SAFe.
Hands-on knowledge in test automation using PyTest, Selenium.
Experience in web scraping , job scheduling (Airflow), and integrating ML models .
Financial certifications or quantitative background (e.g., CFA, FRM, MFE).
Familiarity with data visualization tools and BI platforms (Tableau, Power BI).
Experience working in high-frequency trading, risk analytics, or fintech startups.
Strong leadership and mentoring skills.
Excellent problem-solving and analytical capabilities.
Effective communication and stakeholder management.
Ability to work in a fast-paced, Agile environment.
Visit us at . Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
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