Platform Engineer

Role Title: Platform Engineer ECLARO: A quick Summary ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing the Right People to meet every client's needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E® Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement. About the Role: The Platform Engineer builds the shared cloud platform and engineering foundations that enable AIDA teams to deliver secure, scalable, cloud-native data and AI products. This role focuses on AWS platform engineering, reusable services, DevSecOps, observability, and standards-based architecture. Key Responsibilities: • Build and maintain shared platform services in AWS for applications, data products, and AI workloads. • Standardize delivery patterns for APIs, compute, storage, monitoring, and secure service integration. • Improve developer productivity through CI/CD, environment templates, internal tooling, and platform automation. • Implement platform observability, reliability practices, cost-aware resource management, and secure secrets/access patterns. • Support reusable engineering standards aligned with cloud-native platforms and composable architectures. • Partner with architecture, security, and engineering leaders to apply controls, interoperability standards, and governance guardrails. • Document platform standards and help delivery teams adopt them consistently. Qualifications: • 5 years of experience in platform engineering, cloud infrastructure, DevOps, or SRE. • Strong experience with AWS and infrastructure support for modern application and data workloads. • Experience enabling engineering teams through CI/CD, GitLab, observability, reusable services, and platform standards. • Strong coding or scripting ability in Python; Java or NodeJS is a plus. • Experience supporting containers, API infrastructure, deployment pipelines, and operational tooling. Preferred Qualifications • Experience supporting Databricks, data platforms, and AI/ML workloads. • Exposure to regulated enterprise environments, identity/access controls, and audit logging.