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# Infrastructure Solutions Architect- Staff Infrastructure

- **Company:** iFlow Inc
- **Location:** Palo Alto, CA, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Secure Shell (SSH), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Unix, Cloud Computing, Continuous Integration, Linux, DevOps, Distributed Systems, Domain Name System (DNS), Github, Virtual Private Networks (VPN), Python (Programming Language), Simple Mail Transfer Protocols, Routing, Network Time Protocols, Public Key Infrastructure, Reliability Engineering, Cloud Services, Ansible, Prometheus, Systems Architecture, TCP/IP, TypeScript, Virtual Machines, AWS Cdk, Data Logging, Scripting, Google Cloud, Load Balancing, Istio, System Availability, Large Language Models, Grafana, Multi-Cloud, Cloudformation, Containerization, AI Platforms, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Terraform, Splunk, New Relic (SaaS), Dynatrace, Docker, Jenkins, Microservices
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/e5823c2a-ef46-49d3-8e60-bd91551db18f/infrastructure-solutions-architect-staff-infrastructure

## About the Role

scalability, and developer productivity across enterprise systems.Drive automation and observability improvements, using metrics and analytics to enhance performance, reliability, and efficiency.Collaborate across Cloud, Platform, Security, and AI/ML teams to implement modern SRE components that ensure high availability and secure operations.Analyze and troubleshoot complex systems, championing best practices in system design, incident management, and postmortem analysis.Mentor and influence engineers across teams, fostering technical excellence and a culture of reliability engineering. Requirements:7+ years of experience in engineering, with at least 3+ years in a leadership or management role, overseeing teams focused on infrastructure, SRE, cloud platforms, and DevOps practices.Proven expertise in managing large-scale, distributed infrastructure systems, including containerized environments (primarily Kubernetes), virtual machines, and cloud services (AWS, GCP).Expertise in cloud
networking, including VPCs, DNS, routing, security groups, VPNs, load balancing, and inter-cloud connectivity plus experience with Istio and service mesh technologies, including traffic management, observability, mTLS, and security features.Proficiency in infrastructure automation and configuration management tools such as Terraform and Ansible.Experience with ArgoCD and GitOps principles for automating Kubernetes-based deployments and managing infrastructure as code (IaC).10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles.BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experienceStrong proficiency in programming languages such as Python, Typescript, JavaScript, or Go, with a focus on automation and infrastructure-as-code.Experience with infrastructure-as-code such as AWS CDK, AWS CloudFormation, Terraform or CrossPlaneSolid understanding of OpenTelemetry or other
Observability implementation at scale.Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP).Outstanding problem-solving, communication, and teamwork skills, with the ability to influence across technical and interpersonal boundaries.Architect, develop, and maintain peering and transit infrastructure, including routing policies, eDNS, cloud connectivity, CGNAT, and load balancer fleets.Leverage Python scripting to automate repetitive engineering tasks and proactively mitigate customer impacts.Manage and troubleshoot DNS infrastructure to ensure reliable performance.Oversee and resolve issues related to cloud VPCs and connected network hardware.Diagnose and resolve complex TCP/IP issues to maintain seamless network operations.Collaborate with cross-functional teams to enhance infrastructure efficiency and support xAI's AI platforms.10+ years operating or architecting enterprise SaaS systems in cloud environments.Awareness of AI-driven
engineering and operational capabilities, including opportunities to leverage large language models (LLMs), automation, and intelligent tooling to improve developer productivity, reliability, and incident response.Expert-level experience designing, deploying, and scaling container-based microservices platforms (e.g., Kubernetes/GKE, Docker, service mesh, observability, automated deployments).Strong foundational knowledge of Linux/Unix systems, networking, and security protocols (HTTPS, TCP/IP, TLS/PKI, DNS, SMTP, SSH, NTP, etc.).7+ years hands-on with public cloud platforms and 3+ years focused on Google Cloud Platform (GCP).High proficiency in scripting and automation using Bash and/or Python.Experience with modern code workflows, including branching strategies, release processes, and automated quality gates.Hands-on experience with Infrastructure as Code (Terraform required; Helm and Ansible strongly preferred).5+ years building and operating observability platforms, including
metrics, logging, distributed tracing, and alerting (Prometheus, Grafana, Splunk, New Relic, etc.).Experience designing and operating CI/CD pipelines using tools such as Jenkins, GitHub Actions, and/or ArgoCD.Experience participating in 24/7 operations, incident response, developing runbooks, and producing high-quality platform documentation.

## Description

infrastructure, services, and operational workflows.Reduce operational toil and drive a high degree of automation through Infrastructure-as-Code and GitOps-based delivery patterns.Define, document, and advocate for CI/CD standards, governance models, and platform-wide best practices that support modern, scalable, and resilient delivery of cloud-based solutions.Provide architectural leadership for large-scale, distributed systems, ensuring that infrastructure is scalable, reliable, and cost-effective.Drive the design, implementation, and ongoing optimization of our cloud-based infrastructure, focusing on containers (Kubernetes) and virtual machine environments.Leading the design and implementation of cloud networking solutions for production and development environments, ensuring scalability, high availability, and security across multi-cloud and hybrid environments.Lead the technical strategy and roadmap for large-scale, cross-functional SRE initiatives that improve reliability