Software Engineer Job at Cypress HCM in San Jose

Overview

This range is provided by Cypress HCM. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range: $85.00/hr - $88.00/hr

Direct message the job poster from Cypress HCM

Senior Software Engineer role focused on ML-Ops, building infrastructure to deploy, monitor, and manage machine learning models. The work bridges research and engineering to ensure AI solutions are scalable, reliable, and integrated into products. Requires thriving in a fast-paced environment with a passion for AI/ML and a drive to optimize and automate ML workflows.

Responsibilities

• Pipeline Development: Implement, optimize, and maintain CI/CD pipelines for ML systems, including integrations with GitHub workflows and Jenkins.
• Collaboration: Partner with data scientists, frontend engineers, and platform teams to deliver seamless integration of ML models into core evaluation platforms.
• Environment Management: Administer ML development/production environments using cloud-native solutions; optimize for scalability, reliability, and cost.
• Tooling and Automation: Evaluate, build, and deploy automation tools to streamline the end-to-end ML lifecycle.
• Quality & Monitoring: Develop quality evaluation features and ensure robust monitoring via dashboards and automated alerts.
• Documentation & Best Practices: Champion engineering best practices, promote code quality, and document workflows, tools, and processes for effective team adoption.

Required Skills & Qualifications

• Python, TypeScript, Shell scripting
• Experience with ML pipeline tools (Kubeflow, Airflow, MLflow)
• AWS services (S3, Lambda, DynamoDB)
• CI/CD systems (GitHub Actions, Jenkins, GitLab)
• Infrastructure-as-Code (Terraform, CloudFormation)
• Strong communication and documentation skills
• Strong problem-solving abilities and collaboration across teams
• Knowledge of ML-Ops is a bonus

Candidate Profile

• Master's degree (preferred) in computer science or related STEM field
• Minimum 5 years in software engineering; at least 2 years in DevOps/MLOps in cloud/production environments
• Experience building end-to-end software pipelines and infrastructure with Kubernetes, Terraform/CloudFormation, AWS, and GCP
• Expert proficiency in Python; working knowledge of ML frameworks (e.g., PyTorch, TensorFlow, MLflow)
• Experience with cloud and NoSQL databases (DynamoDB); SQL databases a plus
• Proficient with GitHub Actions, Jenkins, GitLab CI, Docker, and related automation platforms
• Exposure to Computer Vision, Generative AI (GAN, CLIP, Diffusion, MLLM) and practical deployment for evaluation systems
• Experience integrating ML workflows with user-facing features and backend pipelines
• Strong problem-solving skills and excellent written/verbal communication; ability to lead and collaborate across teams

Compensation

• Up to $88.03 per hour