Project Description
Luxoft is looking for a Senior Python developer for development of new application to be used by investors and investment committees to review their portfolio data, tailored to specific user groups.
Responsibilities
- Work closely with the business team, business analysts, and architects to quickly understand the new requirements and help identify changes to the system.
- Work closely on a day-to-day basis with the development team, designers, copywriters, and other IT teams.
- The role develops and presents recommendations from analysis of the current solution, assists in design peer reviews, code peer reviews, building and unit testing functional enhancements, identifies areas for code refactoring, and reviews and contributes to development processes and procedures to assist the continual improvement of the development team activities.
- Offer solutions and designs to solve processes, projects or program issues, provide recommendations to improve efficiency and effectiveness, and defend and support those recommendations confidently.
- Strong organization, communication, and interpersonal skills; ability to communicate with both business and technical audiences and produce design documents suitable for multiple audience types, both client-facing and internal.
- Exhibit technical thought leadership, excellent problem‑solving ability, and an aptitude for technical innovation.
Skills
- Must have:
- 5+ years of software development experience
- Strong backend development experience with Python, writing clean and maintainable production code
- Proven experience designing and building production APIs (FastAPI preferred)
- Strong system and API design skills, including scalability, performance, and reliability
- Strong SQL skills for data modeling and query optimization
- Experience designing and using caching strategies
- Cloud experience (preferably AWS) on services beyond basic compute, storage, and databases
- Experience with infrastructure‑as‑code and cloud‑native architectures
- Strong debugging and problem‑solving skillsConsistently follows coding standards, testing practices, and code review processes
- Proficient with Git workflows and CI/CD pipelines
- Nice to have:
- Experience with Databricks, Spark, and data engineering workflows
- Familiarity with LLMs and modern AI tooling
- Experience with Docker and Kubernetes
- Understanding of event‑driven architectures
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