Python Engineer Lead Specialist Engineer

Job Title: Python Engineer Lead Specialist Engineer
Location: San Jose, CA
Experience Required: 12+ Years
Employment Type: Contract
Interview Type: In-Person or Webcam

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.

• 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.

• 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.

• 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.