Job Title: Python Engineer Lead Specialist Engineer
Location: San Jose, CA
Experience Required: 12+ Years
Employment Type: Contract
Interview Type: In-Person or Webcam
Job Summary
We are seeking a highly experienced Python Engineer Lead Specialist to design, develop, and optimize high-performance backend systems and data-driven applications. The ideal candidate will have extensive experience building scalable solutions, leading technical teams, and working across cross-functional engineering areas. This role requires deep hands-on expertise in Python programming, distributed systems, cloud technologies, data processing, and modern software engineering practices.
Key Responsibilities
• Lead end-to-end design, development, and deployment of large-scale backend systems and services using Python.
• Architect, develop, and maintain high-performance, resilient, and scalable applications.
• Collaborate with product, data engineering, and DevOps teams to deliver high-quality releases.
• Drive improvements in system architecture, performance optimization, and code efficiency.
• Implement automated testing frameworks and ensure high-quality code standards.
• Lead and mentor engineering team members, providing guidance on best practices and solution design.
• Design and integrate APIs, microservices components, and data pipelines.
• Troubleshoot complex production issues and drive root-cause analysis.
• Work with cloud platforms such as AWS, GCP, or Azure for deployment and scalability.
• Contribute to continuous integration, continuous delivery, and DevOps automation efforts.
Required Qualifications
• 12+ years of professional experience in software engineering with strong hands-on expertise in Python.
• Strong understanding of object-oriented design, multi-threading, and distributed architecture.
• Experience with frameworks such as Django, Flask, FastAPI, or similar.
• Expertise in building RESTful APIs and microservices-based architectures.
• Proficiency with SQL/NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Cassandra.
• Strong experience with cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Experience with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
• Strong knowledge of unit testing, integration testing, and automation tools such as PyTest.
• Strong analytical, debugging, and performance tuning skills.
• Excellent communication skills and experience leading engineering teams.
Preferred Skills
• Experience working with big data and streaming technologies such as Kafka or Spark.
• Knowledge of distributed computing or event-driven architecture.
• Experience with ML/AI workflows or data science model deployment.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Experience in Agile or Scrum-based development environments.
• Exposure to security best practices and secure coding guidelines.
