Dice is the leading career destination for tech experts at every stage of their careers. Our client, SunTechPros, Inc., is seeking the following. Apply via Dice today! **Senior Cloud & Infrastructure Engineer – Security Platform Focus** **Location: San Jose, CA** Role Overview We are seeking a Senior Cloud & Infrastructure Engineer to support our cloud platform initiatives, automation efforts, and operational reliability across AWS and Azure environments. This role blends cloud engineering, infrastructure reliability, automation development, and security-minded platform design. The engineer should be capable of stabilizing cloud workloads, optimizing operational maturity, and building scalable patterns that improve availability and resilience. Key Responsibilities Cloud Architecture & Platform Engineering Design, deploy, and enhance scalable infrastructure services across AWS and Azure. Improve posture, configuration hygiene, and guardrail enforcement at the platform level. Partner with platform and security teams to create resilient cloud architectures. Infrastructure Reliability & Operations Stabilize cloud infrastructure services by improving uptime, observability, and incident recovery. Lead troubleshooting of operational failures, configuration drift, and deployment instability. Automate operational workflows to minimize recurring issues and manual intervention. Automation, Tooling & CI/CD Enablement Build automation for cloud provisioning, configuration validation, and remediation workflows. Improve CI/CD security and deployment efficiency through pipelines, controls, and tooling. Develop reusable infrastructure modules to accelerate engineering velocity. Systems, Identity & Control Integration Integrate cloud identity, logging, telemetry, and monitoring into standardized platform patterns. Provide cross-team guidance on secure workload enablement and operational best practices. Improve cloud visibility and ensure system state reflects intended configurations. Cross-Team Enablement & Advisory Work closely with platform, detection, IAM, and compliance teams. Provide architectural input to application and engineering teams adopting cloud services. Share insights related to risk reduction, optimization, and operational scaling. **Required Skills & Experience** 8–10+ years of experience in cloud or infrastructure engineering roles. Strong proficiency with AWS and/or Azure architecture, services, networking, and IAM concepts. Hands-on experience: Infrastructure-as-Code (Terraform, CloudFormation, Bicep, Pulumi, etc.) Automation tooling (Python, PowerShell, Go, etc.) CI/CD systems (GitHub Actions, Azure DevOps, Jenkins, etc.) Proven ability to diagnose and improve reliability issues, scaling constraints, or deployment failures. **Preferred Skills** Background in reliability engineering, SRE, cloud security, or operational automation. Experience with logging, monitoring, and observability platforms. Familiarity with multi-cloud or hybrid-cloud architectural design patterns. Experience integrating cloud controls with platform enablement workflows. Candidate Attributes Operates with ownership and end-to-end accountability Pragmatic and capable of stabilizing complex environments Strong communicator who can influence without authority Collaborative—comfortable working across multiple engineering domains Able to design for both performance and operational safety Success Measures Higher platform availability and workload reliability Automation reduces operational burden and manual interventions Deployment pipelines become faster, safer, and more predictable Engineering teams adopt platform controls and reusable patterns Cloud architecture becomes more resilient and scalable **Preferred / Nice-to-Have Skills** Background in reliability engineering, SRE, cloud security, or operational automation. Experience with logging, monitoring, and observability platforms. Familiarity with multi-cloud or hybrid-cloud architectural design patterns. Container and Kubernetes Experience (Nice to Have / Optional): Operating Kubernetes clusters (EKS/AKS/GKE) or supporting containerized workloads Understanding of orchestration fundamentals, cluster lifecycle, and workload identity Exposure to Helm, container registries, admission controls, or cloud-