Senior Back-End - Python -SQL Developer - Lead Python Developer

Job Description

Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

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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

Requirements

Requirements

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.

Key Responsibilities:

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.

Required Skills & Experience:

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.

Nice to Have:

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.

Soft Skills:

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.

Benefits

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Full-time