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Urgent! Senior Python Developer Jobs | Luxoft

Senior Python Developer



Job description

We're looking for a Senior Software Engineer to partner directly with front-office trading and portfolio management.

You'll design, build, and operate robust, scalable systems that power portfolio and risk analytics, order/trade lifecycle processing, and data-driven investment strategies.

You'll work closely with portfolio managers, quantitative analysts, and product partners to deliver technology that creates tangible value in capital markets.

Responsibilities

  • Design and implement end-to-end technology solutions in an Agile environment, collaborating with business and technical partners.

  • Leverage AWS cloud services to build scalable, cloud-native applications aligned with long-term architecture goals.

  • Manage structured and unstructured data, ensuring accessibility, accuracy, and usability across various business functions.

  • Identify and resolve data issues, exceptions, and inconsistencies while improving data quality and reliability.

  • Build and maintain CI/CD pipelines, automated tests, and infrastructure-as-code for efficient deployment.

  • Ensure system performance, reliability, and scalability across mission-critical applications.

  • Drive engineering excellence through coding best practices, technical mentorship, and peer collaboration.

Mandatory Skills Description

  • 8+ years of experience with Python for backend development and data processing
  • 3+ years working with relational databases (e.g., PostgreSQL, MySQL)
  • 3+ years of hands-on experience with MongoDB
  • 3+ years developing and deploying systems on AWS
  • Strong analytical and problem-solving skills
  • Excellent verbal and written communication skills

Nice-to-Have Skills Description

  • Familiarity with data pipelines, data lakes, and event-driven architectures
  • Experience with containerization (e.g., Docker, Kubernetes)
  • Working knowledge of DevOps practices and tools such as Terraform, GitHub Actions, or Jenkins
  • Exposure to quantitative models, financial data, or multi-asset strategies
  • Comfortable working in fast-paced, regulated environments with high-performance expectations

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