• Design, deploy, and operate Kubernetes clusters (EKS or self-managed) on AWS, ensuring high availability and security • Build and maintain GitHub Workflows and internal developer tooling to improve engineering velocity • Automate infrastructure provisioning and operational tasks using Python and tools like Terraform, OpenTofu, and Helm • Define and enforce platform standards around observability, cost management, resource scaling, and proactive incident management • Partner with application teams to support containerized workloads and resolve infrastructure bottlenecks • Collaborate with Customer Success teams by providing reliable and scalable tooling that supports seamless customer onboarding, integrations, and service delivery

• Design foundational patterns and guardrails for how EarnIn builds, evaluates, monitors, and deploys AI agents in production. • Own agent governance, including model selection, evaluation frameworks, safety guidelines, and production observability. • Establish infrastructure-as-code best practices for agentic systems, ensuring prompts, tools, and evaluation criteria are versioned, reviewed, and tested like critical components. • Serve as architect in agentic cloud infrastructure, establishing best practices for production AI agents. • Mentor senior engineers in advanced agentic patterns, LLM integration, and production prompt engineering. • Lead cross-functional initiatives with engineering, product, security, and business teams to align agentic AI adoption with company objectives. • Oversee large-scale, high-availability distributed systems on AWS, identifying and solving critical performance, scalability, and stability challenges. • Use AI-driven observability and anomaly detection to anticipate failures. • Lead the evolution of infrastructure-as-code and automation standards, incorporating agentic pattern recognition and automated remediation into operations. • Shape the evolution of our developer control plane (Cortex) as an AI-augmented self-service platform where engineers interact with intelligent assistants. • Drive AI-powered golden paths that encode platform standards, security policies, and best practices. • Act as liaison between cloud operations, AI infrastructure, and business stakeholders. • Develop documentation on agentic architecture, best practices, and operational procedures. • Participate in and lead on-call rotations, using post-mortems as feedback loops for improving system reliability and agentic automation.

Senior Platform Engineer Location: United States - Canada Department: Engineering Employment Type Full time Location Type Remote Compensation - United States$150K – $200K • Offers Equity • Offers Bonus At vCluster, our compensation philosophy is rooted in our commitment to being data-driven and objective in every aspect of our business, including how we invest in our people. We aim to attract world-class talent by offering competitive compensation packages tailored to your geographic location and depth of experience. By utilizing real-time market data, we ensure our offers are both fair and reflective of the pivotal role you will play in defining the future of Kubernetes and AI infrastructure. Job Description: As a Senior Platform Engineer at vCluster Labs, you aren't just maintaining infrastructure; you are the backbone of our engineering velocity. In this role, you will act as "Customer Zero" for our own products, building the internal platforms that enable our engineering teams to ship faster, securely, and more efficiently. You will have the unique opportunity to use vCluster to create cutting-edge internal services while providing critical feedback directly to our product teams. As a Sr. Platform Engineer, your role will include: - Infrastructure Management: Own and improve our multi-cloud infrastructure spread across AWS, GCP, and Digital Ocean. You will manage Kubernetes clusters, handle patching, manage access, and enhance to ensure our tooling has robust alerts and metrics. - CI/CD Optimization: Drive the improvement of GitHub CI pipelines. You will be responsible for creating secure, repeatable testing environments and automating pipeline updates to streamline the developer experience. - Internal Services Architecture: Architect and host infrastructure for engineering development, including internal services and vCluster-specific platforms (e.g., loft.rocks, vCluster Cloud). You will empower engineers to build pipelines securely through education and tooling. - Customer Zero: Act as the first and most critical user of our products. You will push vCluster features to their limits to create useful internal tools, discovering bugs and providing feedback to Engineering to shape the future of our software. - Terraform Automation: Focus on automating updates and managing infrastructure as code using Terraform Spacelift. You will give the team the ability to create infrastructure on demand, ensuring scalability and consistency. - Execution: Manage a variety of Kanban tasks via Linear, ranging from improving observability to handling GitHub policy requests, release engineering, and access management. This role could be a fit for you if you bring: - Experience: You have 5+ years Platform Engineering or DevOps, with a focus on modern, cloud-native technologies. - Technical Fluency: You are an expert in HCL and Terraform Modules, and you have deep experience administering Kubernetes clusters. - Pipeline Mastery: You have extensive "must-have" experience with GitHub Pipelines and know how to optimize them for speed and security. - Cloud Proficiency: You have hands-on experience managing and deploying in public clouds, specifically AWS or GCP. - Modern Tech Mindset: You thrive in environments that reject legacy tech. You want to work with a modern stack where you can pick your own hardware and solve a variety of problems, from pipelines to internal services. Bonus points for: - Automation Skills: Experience writing automation scripts with Bash or Python. - Programming: Proficiency in Go or Python is a significant plus. - Kubernetes Depth: Relevant certifications such as CKA (Certified Kubernetes Administrator) or experience writing Kubernetes Operators. - Documentation: Basic experience writing technical documentation and a willingness to build AI Automation in the documentation to contribute to our knowledge base. - Tools: Familiarity with Linear for task management. About vCluster Labs We are a venture-backed tech startup and the company pioneering Kubernetes virtualization for the AI era. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, GitLab, Stripe, Doordash) and are in a hyper-growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote-first work culture. We are the leading platform for operating GPU infrastructure, enabling AI Cloud providers to deliver a hyperscaler-like experience to their customers and AI factories that need to build that same experience for their internal teams. Our platform delivers the full operational stack operators need to run their GPU data centers — managed Kubernetes, fast isolated tenant provisioning, and automated node provisioning and lifecycle management — enabling them to accelerate time to value, reduce operational burden, and maximize the ROI of every GPU. We're the company behind vCluster, an open-source technology for virtualizing Kubernetes (10k+ GitHub stars, 40M+ virtual clusters created since 2021). Open source is part of our DNA. At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI — a Kubernetes-native framework purpose-built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems. Benefits We offer the following benefits: - Competitive Salary: We offer a competitive compensation package, including equity. - Platinum-Level Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country). - Flexible Working Schedule: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day. - Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way. Culture & Values At vCluster Labs, we value and stand for: - Make it Happen: We have a relentless bias for action and the grit to push through obstacles. We do whatever it takes to figure it out, put in the work, and ruthlessly prioritize the actions that drive measurable impact for the business. - Own the Outcome: We understand that our responsibility doesn't end when a task is checked off; it ends when the value is delivered. We connect our daily individual actions to the broader success of the company and our customers. - Create Wow: We measure success by the experience we generate, both inside and outside the company. For our customers, this means impressive speed and intuitive experiences. For our team, this means going the extra mile to support one another and to continuously drive each other to new heights. - Open Source, Open Mind: We are actively contributing to and maintaining open-source projects. Internally, we foster meritocracy — the strongest ideas win, no matter who or where they come from. - Build Tomorrow’s Standards, Intentionally: We don't just ship software; we define the state-of-the-art of tomorrow. We are fearless in tearing down old approaches to build something better, but we are disciplined in how we do it because we know our users rely on our technology to run mission-critical infrastructure platforms.

Title: Azure Cloud Engineer Location: Continental United States Job Description: Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Azure Cloud Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Azure Cloud Engineer Job Title: Azure Cloud Engineer Salary Range: 100k$/Annum-150k$/Annum Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 5+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits. Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. Job Summary We are seeking a skilled Azure Cloud Engineer to design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. In this role you will own the end-to-end cloud engineering lifecycle, including architecture, infrastructure-as-code, automation, security hardening, cost optimization, observability, and ongoing operational excellence for production workloads. The ideal candidate will combine deep technical expertise across Azure services with strong DevOps engineering practices, and will partner closely with application development, security, and SRE teams to deliver cloud-native solutions that meet demanding business requirements for scalability, reliability, and compliance. Key Responsibilities - Design and implement enterprise-grade Azure cloud architectures spanning compute, networking, storage, identity, and data services, with explicit attention to scalability, security, and total cost of ownership. - Develop, maintain, and continuously improve infrastructure-as-code using Terraform, Bicep, or ARM templates, treating infrastructure changes with the same rigor as application code through version control and peer review. - Configure and manage Azure landing zones, virtual networks, subnets, route tables, and network security groups to enforce strong segmentation and least-privilege connectivity between workloads. - Implement secure identity, access management, and governance controls using Azure Active Directory, conditional access, role-based access control, and Azure Policy to ensure compliance with internal and regulatory standards. - Architect and operate Azure Kubernetes Service (AKS) clusters, including node pool design, auto-scaling, network policy, and integration with container registries and service meshes. - Deploy, scale, and tune Azure data and analytics platforms such as Azure SQL, Cosmos DB, Synapse Analytics, Data Factory, and Event Hubs to meet specific workload patterns and SLAs. - Build and operate comprehensive CI/CD pipelines using Azure DevOps or GitHub Actions, enabling fast, automated, and auditable releases of both infrastructure and application code. - Design and implement robust observability practices using Azure Monitor, Log Analytics, Application Insights, and third-party tooling, with thoughtful dashboards, alerting, and SLO tracking. - Drive Azure cost optimization initiatives, including right-sizing, reserved-instance planning, lifecycle policies, and architectural changes that meaningfully reduce monthly cloud spend. - Implement disaster-recovery and business-continuity strategies, including backup, geo-replication, failover testing, and documented runbooks that have been validated through regular drills. - Strengthen security posture by integrating Microsoft Defender for Cloud, Sentinel, key vault, and managed identities, and by routinely remediating findings from compliance scans. - Collaborate closely with application teams to architect cloud-native solutions, advising on patterns, anti-patterns, and Azure-native services that best fit each problem domain. - Develop automation scripts and tooling in PowerShell, Bash, and Python to streamline repetitive operational work and reduce time-to-resolution for common incidents. - Mentor junior engineers, lead architecture reviews, and contribute actively to internal communities of practice around Azure and DevOps. Required Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of cloud engineering experience, with at least three years focused on Microsoft Azure in production environments. - Strong hands-on experience with Azure core services, including compute, storage, networking, identity, and platform-as-a-service offerings. - Production-level experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates. - Solid experience designing and operating Azure Kubernetes Service (AKS) clusters at scale. - Hands-on experience with Azure DevOps or GitHub Actions for CI/CD across infrastructure and applications. - Strong scripting skills in PowerShell, Bash, and Python, with the ability to write maintainable automation code. - Deep understanding of cloud security principles, identity management, and compliance frameworks. - Experience implementing monitoring, alerting, and observability strategies across distributed workloads. - Strong troubleshooting, communication, and documentation skills. Preferred Qualifications - Microsoft Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert certification. - Experience operating hybrid cloud or multi-cloud environments spanning Azure and on-premises infrastructure. - Familiarity with service mesh technologies such as Istio or Linkerd on AKS. - Exposure to FinOps practices and cloud cost-management tooling. - Experience with regulated environments such as HIPAA, PCI-DSS, SOC 2, or FedRAMP.