This is a remote-based position located in the United States or Canada.
Calix is looking for a highly skilled and experienced Senior Software Engineer with expertise in the Python ecosystem and cloud technologies. As a senior member of our engineering team, you will play a pivotal role in designing, developing, and maintaining scalable, high-performance software solutions. While AI/ML knowledge is not a requirement, familiarity or interest in these areas is considered a plus and can open opportunities for contributing to innovative projects involving machine learning.
Key Responsibilities:
- Design and Development: Architect, develop, and maintain scalable and efficient software solutions using Python and its frameworks (e.g., Django, Flask, FastAPI).
- Cloud Integration: Build and deploy cloud-native applications on platforms such as AWS, Azure, or Google Cloud, leveraging services like serverless computing, containerization (Docker, Kubernetes), and cloud storage.
- Code Quality: Write clean, maintainable, and testable code while adhering to best practices in software development.
- Collaboration: Work closely with cross-functional teams, including product managers, DevOps engineers, and data scientists, to deliver end-to-end solutions.
- Performance Optimization: Identify bottlenecks and optimize application performance, ensuring high availability and reliability.
- Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement.
- Security and Compliance: Ensure that all software solutions comply with security standards and industry regulations.
- Monitoring and Maintenance: Implement monitoring tools and processes to ensure the health and performance of applications in production environments.
Required Skills and Qualifications:
- Bachelor’s, Master’s, Computer Science, or a related field.
- 8+ years of professional experience in software development, with a focus on Python and cloud technologies.
- Expert in Python and its frameworks (e.g., Django, Flask, FastAPI) and proficiency with other languages such as C++/Rust
- Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their services, including serverless architectures, container orchestration (Kubernetes), and CI/CD pipelines.
- Experience with database systems (SQL and NoSQL) and data processing tools.
- Familiarity with microservices architecture and RESTful API design.
- Proven track record of delivering scalable and reliable software solutions in production environments.
- Solid foundation on data structure and algorithms
- Knowledge of DevOps principles and CI/CD pipelines for automated testing and deployment.
Preferred Qualifications:
- Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Google Cloud Professional Engineer).
- Knowledge of DevOps practices, including infrastructure as code (e.g., Terraform, Ansible).
AI/ML Knowledge (Nice to Have):
- Familiarity with AI/ML concepts, such as machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), or natural language processing.
- Experience working with AI/ML pipelines, model deployment, or data preparation workflows.
- Interest in contributing to AI/ML-related projects or collaborating with data scientists and machine learning engineers.
#LI-Remote
Compensation will vary based on geographical location (see below) within the United States. Individual pay is determined by the candidate's location of residence and multiple factors, including job-related skills, experience, and education.
For more information on our benefits click here.
There are different ranges applied to specific locations. The average base pay range (or OTE range for sales) in the U.S. for the position is listed below.
San Francisco Bay Area Only:
133,400.00 - 226,600.00 USD AnnualAll Other Locations:
116,000.00 - 197,000.00 USD Annual
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