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.ResponsibilitiesReviews, interprets, and clarifies requirements and functional designs for AI and ML workloadsUnderstands system‑level objectives for agentic workflows, data integrations, and platform automationAssists with documenting, maintaining, and improving architecture for AI systems, MCP server integrations, and cloud‑based workflowsContributes to design documentation for AI pipelines, orchestration flows, and system integration pointsContributes to design documentation for AI pipelines, orchestration flows, and system integration pointsDevelops and maintains Python‑based code for small enhancements and AI/ML pipeline componentsFixes simple defects, participates in peer code reviews, and adheres to engineering standardsIntegrates AI systems with APIs, data sources, and internal servicesDevelops unit tests and participates in test case execution for AI pipelines and agentic servicesLogs defects and collaborates with teammates to validate fixes and improvementsSupports CI/CD pipelines for AI and ML workloadsAssists in deploying and operating services on Google Cloud Platform (GCP)Helps deploy and manage AI services running on Kubernetes with coaching from senior engineersContributes to implementing monitoring and alerting for system health, performance, and reliabilitySkillsBachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)0–3 years of professional experienceProficiency in PythonFamiliarity with at least one major cloud provider (AWS, GCP, or Azure)Strong working knowledge of SQLExperience with LLM prompt engineeringUnderstanding of CI/CD and infrastructure automation conceptsExperience with version control and collaborative development practicesExperience working with MCP serversExperience building Agent‑to‑Agent workflowsExposure to deploying or operating LLMs in development or production settingsFamiliarity with ML Ops practices such as model versioning, monitoring, and reproducibilityExperience with Kafka or event‑driven architecturesKnowledge of observability and reliability best practicesInternship, academic, or project experience operating AI systems at scaleBenefitsEmployee 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 OverviewEquinix is an internet company that provides data center services for companies, businesses, and organizations. It was founded in 1998, and is headquartered in Redwood City, California, USA, with a workforce of 10001+ employees. Its website is http://www.equinix.com.Company H1B SponsorshipEquinix has a track record of offering H1B sponsorships, with 113 in 2025, 157 in 2024, 117 in 2023, 121 in 2022, 179 in 2021, 122 in 2020. Please note that this does not guarantee sponsorship for this specific role.



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