Associate Software Engineer

Equinix is the world’s digital infrastructure company®, enabling innovations that enrich work, life, and the planet. The Associate Software Engineer role focuses on supporting the development, deployment, and operation of AI and ML-powered systems within a cloud-native environment, contributing to software engineering and lifecycle management.

Responsibilities

• Reviews, interprets, and clarifies requirements and functional designs for AI and ML workloads
• Understands system‑level objectives for agentic workflows, data integrations, and platform automation
• Assists with documenting, maintaining, and improving architecture for AI systems, MCP server integrations, and cloud‑based workflows
• Contributes to design documentation for AI pipelines, orchestration flows, and system integration points
• Contributes to design documentation for AI pipelines, orchestration flows, and system integration points
• Develops and maintains Python‑based code for small enhancements and AI/ML pipeline components
• Fixes simple defects, participates in peer code reviews, and adheres to engineering standards
• Integrates AI systems with APIs, data sources, and internal services
• Develops unit tests and participates in test case execution for AI pipelines and agentic services
• Logs defects and collaborates with teammates to validate fixes and improvements
• Supports CI/CD pipelines for AI and ML workloads
• Assists in deploying and operating services on Google Cloud Platform (GCP)
• Helps deploy and manage AI services running on Kubernetes with coaching from senior engineers
• Contributes to implementing monitoring and alerting for system health, performance, and reliability

Skills

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 0–3 years of professional experience
• Proficiency in Python
• Familiarity with at least one major cloud provider (AWS, GCP, or Azure)
• Strong working knowledge of SQL
• Experience with LLM prompt engineering
• Understanding of CI/CD and infrastructure automation concepts
• Experience with version control and collaborative development practices
• Experience working with MCP servers
• Experience building Agent‑to‑Agent workflows
• Exposure to deploying or operating LLMs in development or production settings
• Familiarity with ML Ops practices such as model versioning, monitoring, and reproducibility
• Experience with Kafka or event‑driven architectures
• Knowledge of observability and reliability best practices
• Internship, academic, or project experience operating AI systems at scale

Benefits

• Employee Assistance Program: An Employee Assistance program is available to all employees.
• Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.
• Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.
• Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge.

Company Overview

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