Why this role exists We're looking for a Cloud Native Engineer to build and optimize the microservices architecture powering our AI cloud platform. You'll design resilient, scalable systems using cutting-edge cloud native technologies, ensuring our platform can handle massive AI workloads with reliability and performance. As part of our cloud native engineering team, you'll work on Kubernetes-based infrastructure, Go microservices, and container orchestration systems that serve as the backbone of our AI computing platform. You'll architect the systems that make AI compute seamless for thousands of developers and enterprises. This is a unique opportunity for someone who's excited to work with the latest cloud native technologies, solve complex distributed systems challenges, and build infrastructure at scale in the rapidly growing AI space. What you'll do Design and develop microservices using Go that power our AI cloud platform's core functionality Build and maintain Kubernetes-based infrastructure for container orchestration and workload management Implement and optimize cloud native solutions for scalability, reliability, and performance Contribute to code reviews, technical documentation, and knowledge sharing within the engineering team Explore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutions Design distributed systems architecture for high-availability AI workload processing Collaborate with DevOps and SRE teams to ensure production reliability and monitoring Leverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code quality You'll thrive here if you 7+ years of software engineering experience with focus on distributed systems and cloud native technologies Strong proficiency in Go with deep understanding of concurrency patterns and standard libraries Python or other backend languages for polyglot development environments Hands-on Kubernetes experience including development, deployment, and maintenance of production clusters Solid understanding of microservices architecture design patterns and implementation best practices containerization technologies (Docker, containerd) and container runtime optimization Problem-solving mindset with ability to independently design and implement complex system components Strong collaboration and communication skills for working in cross-functional teams Experience using AI-assisted coding tools and willingness to integrate them into development workflow Bonus qualifications Compensation We provide Competitive salary and equity based on your experience and skillset; This is a Hybrid role - 3 days in office, 2 days WFH; Must locate in Palo Alto Applicants must be authorized to work in the United States without need for visa sponsorship.

Juvare is a SaaS software company focused on developing innovative enterprise resilience solutions for government agencies, corporations, healthcare providers, and higher education. Juvare solutions have supported over 500,000 emergency response incidents in all 50 states and 20 countries worldwide. Juvare helps our clients prepare, connect, and respond to protect people, property, and brands. Role Overview: We’re looking for a Senior Cloud Engineer who excels at bridging development, testing, and operations. In this role, you’ll design and maintain cloud infrastructure, enhance CI/CD pipelines, and support mission‑critical systems that power Juvare’s global resilience solutions. You’ll collaborate closely with cross‑functional teams to deliver secure, scalable, and highly available cloud environments. Location:  Atlanta, Fort Wayne, Pittsburgh, OR Remote What you'll do: Contribute to cloud platform projects, including architecture design, implementation, and documentation for new features and services. Maintain and enhance our Infrastructure as Code (IaC) ecosystem, with a strong emphasis on Terraform for cloud provisioning and management. Troubleshoot and resolve issues across development, lab, and production environments. Respond to incidents promptly and lead root‑cause analysis efforts. Deploy, maintain, and troubleshoot applications running in AWS and/or Azure. Perform patching, updates, and ongoing maintenance of cloud systems. Build cloud platform components and integrate applications with monitoring tools such as Datadog. Develop cloud‑agnostic infrastructure using containers and Kubernetes. Collaborate with development teams to solve complex issues, design new solutions, and support production deployments. Participate in an on‑call rotation supporting critical systems. Qualifications:

About Samtek At Samtek, we're redefining cloud innovation as an engineer-owned and operated, SBA-certified minority-owned small business founded in 2018. Our mission is simple: empower federal agencies and large enterprises with cutting-edge DevSecOps and cloud transformation solutions that drive security, scalability, and speed. From cloud-native application development and platform engineering to robust security implementations, data center migrations, and seamless operations, we deliver modern IT services backed by over 50 years of collective expertise. We're a diverse, collaborative team that's passionate about pushing the boundaries of technology. Our culture thrives on curiosity, inclusivity, and real impact—whether it's optimizing cloud environments for mission-critical operations or fostering innovation in a supportive, hybrid work setting. Join us to work on high-stakes projects that matter, grow alongside top talent, and be part of a company that's not just building the future of cloud computing, but shaping it. Samtek: Where engineers lead, and excellence follows. Position Overview We are seeking a Senior Google Cloud Platform (GCP) Engineer to support the strategic enablement of GCP infrastructure within a secure federal cloud enclave. This role requires deep expertise in GCP architecture, infrastructure as code (Terraform), and cloud operationalization within large-scale or highly regulated environments. The successful candidate will work closely with Google’s Professional Services Organization (PSO), internal engineering teams, and cross-functional federal stakeholders to deliver a robust and compliant GCP foundation. Key Responsibilities GCP Architecture & Tenancy Design Design and implement a scalable and secure GCP Tenancy model aligned with federal agency requirements. Required Qualifications Minimum 5 years of hands-on GCP infrastructure engineering or architecture experience. Minimum 10 years of experience with Infrastructure in major public clouds or data center. Demonstrated success in operationalizing GCP in a large enterprise or federal environment Strong expertise in: and automation frameworks GCP identity and access management (IAM) Networking (VPCs, VPN, Interconnect, DNS) Security and compliance frameworks (FedRAMP, FISMA) Experience working with or within federal agencies or regulated industries Proven track record designing or migrating workloads to GCP. Excellent written and verbal communication skills. Preferred Qualifications GCP Certifications to include: Professional Cloud Architect Professional Cloud Security Engineer Professional DevOps Engineer Familiarity with other CSPs (AWS, Azure) and hybrid cloud integrations. Experience collaborating with or similar professional service teams. Prior involvement in cloud governance, policy management, or cloud security operations

• Write clean and testable code with Python • Building scalable services and APIs using event driven and service bus architectures • Help design and build data analytics pipelines and infrastructure • Create Unit, Integration and Full end-to-end automated tests using any of the popular testing tools • Collaborate with business stakeholders and product owners to produce and ship top-notch software • Support your teammates to crush technical challenges, learn new skills, and innovate! • Being transparent, honest and committed to shipping code that makes you proud!