Sr Platform Engineer I

Description Remote Our client seeks a Sr Platform Engineer I to join the Platform Engineering and DevOps organization. The role will implement and contribute to the design and evolution of capabilities that enable secure, scalable, and efficient public cloud adoption and software delivery. The position supports platform engineering practices, developer self-service, and continuous improvement of cloud reliability, automation, and engineering standards to accelerate business outcomes through the simplification of software product delivery. Remote Worker Guidelines: This position will be trained remotely and must be able to work from home in a designated work area with company-provided technology equipment. This position requires a reliable internet connection with a consistent 50 down/10 up Mbps minimum speed. 100 down/20 up is recommended to support higher quality video meetings. This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis. Salary: $138,000 - $143,000/ yr. w2 Responsibilities Implement and contribute to the design of platform environments across cloud compute, storage, networking, and runtime layers leveraging Azure IaaS and PaaS. Deploy and operate containerized platform-native runtime services. Implement infrastructure provisioning using Infrastructure as Code. Develop, maintain, and enhance reusable platform components and automation frameworks based on platform patterns and standards. Implement security controls and policy enforcement per platform standards. Implement identity, access, and secrets management patterns. Enable compliance and governance through automated guardrails. Implement monitoring and logging solutions and support observability. Implement and support redundant, fault tolerant, and automated recovery mechanisms using zonal and multi-region patterns. Monitor platform performance and contribute to cost optimization. Enable consistent application deployment patterns and workflows. Support, build, and enhance developer tooling and CI/CD platform capabilities. Implement and maintain self-service templates and contribute to golden paths. Contribute to abstraction layers and APIs for infrastructure and platform services. Troubleshoot platform and infrastructure issues and perform root cause analysis. Collaborate with team members and share knowledge. Implement and support messaging, eventing, and API capabilities. Enable event-driven and asynchronous communication patterns across systems. Utilize and contribute to reusable integration patterns for application and platform services. Perform other duties as assigned and comply with all policies and standards. Experience Requirements 3 or more years in cloud platform engineering, software engineering, systems engineering, or DevOps with hands-on work across IaaS, PaaS, AI, and containers. Experience designing and implementing Infrastructure as Code, CI/CD pipelines, and automated platform provisioning with proficiency in at least one scripting or programming language. Experience contributing to DevOps or DevSecOps practices with cross-team collaboration. Ability to troubleshoot complex systems and improve platform reliability. Working knowledge of identity and access management and securing cloud platform resources. Experience implementing or supporting observability including logging, monitoring, and performance diagnostics. Preferred: exposure to cloud migration and modernization from on-premises. Preferred: exposure to AI/ML platform services. Preferred: experience with microservices architectures and asynchronous integration using queuing and messaging platforms. Preferred: exposure to platform security and compliance controls, developer self-service, and cost optimization practices. Preferred: experience with Microsoft Azure IaaS and PaaS offerings. Strong background creating secure cloud architectures for Internet-facing applications. Strong leadership, interpersonal, influencing, collaboration, and negotiation skills. Education Requirements Bachelor’s Degree in Computer Science or Engineering, or equivalent experience. High School Diploma required if substituting equivalent experience. Preferred: Microsoft Azure certifications such as Azure Administrator, Developer, Solutions Architect, DevOps Engineer, Azure AI Engineer Associate, or AI Fundamentals within 1.5 years.