Role Description Volta builds and operates large-scale GPU compute infrastructure for AI workloads. Our platform is Kubernetes-native, spans multiple regions, and delivers virtual machines, storage, and networking through a fully automated infrastructure stack built on custom Kubernetes operators. Platform Engineers work at the intersection of infrastructure and software development. You will translate three key inputs into durable platform capabilities: - Product roadmap requirements from the product team - Operational learnings from the bring-up team - Security guidance from the security engineering team What You Will Be Doing: - Design and implement Kubernetes operators and controllers that manage the lifecycle of compute, storage, and networking resources - Work closely with the product team to understand roadmap requirements and implement the platform capabilities that support them - Collaborate with the bring-up team to identify operational pain points and turn them into scalable platform features - Improve and extend the northbound API layer — the interface between user-facing services and the underlying infrastructure platform - Build and extend confidential computing capabilities across the platform stack — from secure bare metal and confidential VMs to Confidential Containers (CoCo) - Integrate security guidance from the security engineering team into platform-level controls and remediate security findings at the platform layer - Build platform capabilities around networking: reliability, performance, and observability of the overlay and underlay network stack - Contribute to storage platform improvements: provisioning workflows, attachment reliability, performance tuning, and failure handling - Own observability as a platform concern — instrument services, define meaningful metrics, and build tooling that gives the team visibility into platform health - Participate in code review, technical design discussions, and cross-team collaboration in an Agile (Kanban or Scrum) environment Qualifications - 3–5 years of software engineering experience, with a meaningful portion spent on infrastructure or platform systems - Working proficiency in at least one relevant language — Python, Go, or Rust — with experience writing production-grade backend services or automation, and a willingness to work across languages as the codebase evolves - Solid understanding of Kubernetes internals: the control loop model, CRDs, controllers/operators, and reliable reconciliation logic - Comfortable working close to the infrastructure layer — Linux, networking fundamentals, and distributed systems behaviour - Experience designing and building APIs or service interfaces that other teams depend on - Strong engineering fundamentals: clean code, testing, version control, code review, and CI/CD practices Requirements - Fluency with AI-assisted development, and interest in scaling agent-assisted workflows across the team (agentic CLI tools, MCP, skills, APIs) to amplify delivery - Familiarity with confidential computing technologies: TEEs, AMD SEV, Intel TDX, or Confidential Containers (CoCo) - Experience integrating security requirements into platform or infrastructure systems - Familiarity with high-performance networking: overlay protocols, BGP, RDMA, or packet-processing frameworks - Hands-on experience with distributed storage systems (Ceph or similar) at an engineering level - Background building Kubernetes operators using frameworks such as Kopf, controller-runtime, or similar - Experience with observability tooling: Prometheus, Grafana, OpenTelemetry, or structured logging in distributed systems - Exposure to GPU infrastructure or HPC environments

Role Description As a Sr. Platform Engineer, you will be responsible for building, managing, and optimizing the underlying infrastructure and tools that enable efficient, scalable, and reliable execution of large-scale data processing workloads. This role is a specialized subset of data platform engineering, ensuring the environment where data engineers and data scientists run their Spark jobs is robust and cost-efficient. - Architecting and managing the platforms where Spark runs, such as Kubernetes clusters, or cloud services like AWS (EKS). - Packaging Spark workloads (often via Docker/Kubernetes) and integrating them with orchestration systems like Apache Flyte. - Deploying Infrastructure via Terraform/Ansible. - Troubleshooting and resolving job failures, memory/resource issues, and execution anomalies, including optimizing Spark configurations to reduce cloud compute and storage costs. - Building automation and tools in languages like Python, Java, or Scala, Linux Scripting (Bash) to increase the productivity of development teams. - Writing medium to complex SQL Queries as needed. - Implementing and maintaining systems for monitoring, logging, and alerting (e.g., Prometheus, Grafana) to ensure platform stability and reliability. - Developing and optimizing the data catalog platform (e.g., Apache Iceberg, Unity Catalog) for authorization, search, and lineage. - Automating workflows, monitoring, and incident resolution. - Collaborating with Data Stewards, Analysts, and Scientists to address data needs and issues. - Promoting best practices and assessing emerging technologies. - Working closely with data engineers, data scientists, and other engineering teams to define requirements, advise on best practices, and ensure successful delivery of data objectives. - Engaging with open-source communities (like Apache Spark, Delta Lake, or Apache Iceberg) to discuss technical challenges and contribute improvements. - Creating and maintaining comprehensive documentation for Kubernetes infrastructure, processes, and procedures. Providing training and support to team members as needed. Qualifications - Bachelor's degree in computer science or a related field, or equivalent experience, typically 7 years in a DevOps or Systems Engineering role. - Expertise in Apache Spark: - Deep understanding of Spark architecture, including RDDs, DataFrames, execution hierarchy, lazy evaluation, shuffling, and fault tolerance. - Proficiency in languages used for Spark development and automation, such as Python, Pyspark, and Scala/Java. - Proficient in Linux Scripting (Bash). - Proficient in writing SQL. - Experience in CI/CD tools, Github. - Experience in setting up and using observability tools like Prometheus, Grafana, etc. - Strong knowledge of Networking Protocols (TCP/IP, DNS, Load Balancer, etc.) and hardware components. - Automation via Terraform/Ansible. - Hands-on experience with on-prem and major cloud providers (AWS, Azure, GCP) and container orchestration tools like Docker and Kubernetes. - Hands-on experience setting up IAM, VPC, EC2, etc. - Familiarity with related technologies and formats like Delta Lake, Apache Iceberg, Apache Kafka, Hadoop, and various data storage systems (S3, HDFS, etc.). - Hands-on experience with Databricks, Snowflake, Apache Iceberg, Unity Catalog, or similar tools. - Solid understanding of data lakes and governance. - Experience setting up, maintaining caching layers like Alluxio. - Strong analytical skills for debugging complex distributed systems issues. - Strong communication and collaboration abilities. Requirements - 7-10 Years of relevant work experience. Benefits - An array of options, expert guidance, and always-on tools that are personalized to meet the needs of your reality. - Support physically, financially, and emotionally through big milestones and everyday life.

• Build, and maintain features across our CRM+ platform using C#, .NET, and SQL Server • Architect and operate services on Azure, with an eye toward scalability, reliability, and cost • Partner with Product and Design to shape requirements - not just receive them - bringing a customer-first perspective to technical tradeoffs • Use AI tools, especially Claude Code, as a core part of your daily workflow: for prototyping, code generation, testing, debugging, documentation, and accelerating delivery • Write clean, well-tested, maintainable code and unit tests - and participate actively in the code review process • Mentor and pair program other engineers and help raise the bar for engineering practices across the team • Influence best practice patterns for QA, CICD, and product architecture • Troubleshoot and resolve production issues with a sense of urgency and ownership • Contribute to technical strategy and help evolve our architecture as the platform scales

Role Description We are seeking an experienced Head of ETP, Voltron Platform (Billing Platform) to lead the end-to-end billing function for a large, complex B2B telecommunications and digital infrastructure business. This role will own billing strategy, execution, controls, systems, and transformation, with particular responsibility for the company’s Zuora Billing platform. The successful candidate will oversee high-volume recurring, usage-based, milestone, installation, and one-time billing across a diverse portfolio of fiber, network, connectivity, colocation, cloud, and managed-service products. This leader will partner closely with Sales, Order Management, Finance, Revenue Accounting, Accounts Receivable, Tax, Customer Operations, IT, and Product teams to ensure invoices are accurate, timely, contractually compliant, and scalable. This is both an operational and transformational leadership role. The Head of Billing will be expected to strengthen billing controls, reduce revenue leakage and customer disputes, improve automation, establish clear performance metrics, and optimize the broader quote-to-cash process. Location: This fully remote work position will consider applicants that currently reside in the continental United States. For applicants that reside in the Denver, Colorado metro area, this role will be a hybrid work position. Qualifications - Bachelor’s degree in Accounting, Finance, Business, Information Systems, or a related field. - Typically a minimum of twelve (12) years of progressive experience in billing, finance operations, order-to-cash, or subscription management. - At least five (5) years of leadership experience managing billing teams in a complex, high-volume environment. - Significant hands-on and leadership experience with Zuora Billing. - Strong knowledge of recurring, usage-based, and consumption-based billing models. - Experience managing complex B2B customer contracts, amendments, renewals, credits, and billing disputes. - Demonstrated experience integrating Zuora with CRM, CPQ, ERP, tax, payment, order management, and data platforms. - Strong understanding of billing controls, reconciliations, audit requirements, and financial close processes. - Proven ability to lead billing transformation, automation, system implementation, or process redesign initiatives. - Experience working across Finance, Sales, Operations, IT, Product, Legal, Tax, and Customer Service. - Strong analytical, problem-solving, executive communication, and stakeholder-management skills. - Experience leading geographically distributed or global teams. Requirements - Act as the senior business owner for Zuora Billing, including platform governance, configuration strategy, enhancement prioritization, and operational performance. - Oversee Zuora functionality related to product catalogs, rate plans, subscriptions, amendments, usage, bill runs, invoice schedules, taxation, payments, credits, and account hierarchies. - Ensure Zuora configuration supports complex telecom and infrastructure commercial models, including: - Monthly recurring charges - Non-recurring charges - Installation and construction charges - Usage and consumption billing - Minimum commitments - Tiered and volume pricing - Ramp agreements - Co-termination - Contract renewals - Early termination charges - Multi-site and parent-child customer relationships - Partner with IT and enterprise architecture teams to maintain reliable integrations between Zuora and systems such as Salesforce, CPQ, order management, service inventory, mediation, tax engines, payment platforms, ERP, data warehouses, and customer portals. - Lead Zuora upgrades, releases, testing, defect resolution, and continuous improvement initiatives. - Develop a scalable Zuora governance model covering access, change management, configuration documentation, testing, deployment, and production support. - Evaluate and implement additional Zuora capabilities, including Zuora Revenue, Zuora Payments, Zuora Collections, Workflow, Data Query, or related applications, where appropriate. Benefits - Excellent Health, Dental & Vision Insurance - Retirement 401(k) Savings Plan - Generous paid time off policy including paid parental leave Performance Metrics - Invoice accuracy rate - On-time billing rate - Billing-cycle completion - Volume and age of unbilled services - Credit and rebill rate - Billing dispute volume and resolution time - Manual invoice and adjustment volume - Revenue leakage identified and recovered - Billing backlog and exception aging - First-time-right subscription and account setup - Zuora system availability and bill-run performance - Percentage of billing transactions processed automatically - Billing-related customer satisfaction - Audit findings and control exceptions - Cost per invoice or billing account