Role Description We are looking for a VMware Engineer to design, deploy, and operate VMware-based virtualization, software-defined networking, and software-defined storage platforms across on-premises and hybrid cloud environments. The role covers: - vSphere - vSAN - NSX - Aria - Tanzu The focus is on automation, capacity management, and the practical realities of operating a large VMware estate alongside modern cloud-native workloads. The ideal candidate has operated VMware platforms at enterprise scale, navigates the evolving VMware product landscape pragmatically, and brings strong automation and operations discipline. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field. - Five or more years of hands-on VMware platform engineering experience. - Deep expertise in vSphere, vCenter, and ESXi. - Hands-on experience with vSAN and storage policy management. - Experience with NSX-T or NSX-V networking. - Strong PowerCLI scripting skills and experience with automation tooling. - Familiarity with Tanzu Kubernetes Grid or VMware container platforms. - Strong understanding of disaster recovery patterns and SRM. - Strong troubleshooting skills across compute, network, and storage layers. - Excellent communication and collaboration skills. Requirements - Design and operate VMware vSphere, vSAN, and NSX environments across data centers and hybrid cloud deployments. - Build and maintain Tanzu Kubernetes Grid environments for containerized workloads. - Implement vRealize / Aria Automation for self-service VM provisioning, lifecycle management, and policy enforcement. - Operate NSX-T for software-defined networking, including micro-segmentation and load balancing. - Manage vSAN clusters, storage policies, and storage performance for diverse workload classes. - Implement disaster recovery and business continuity using Site Recovery Manager and replication. - Build automation for VMware infrastructure using PowerCLI, Terraform, Ansible, and vRO. - Design capacity management strategies including right-sizing, reservation, and workload placement. - Operate VMware Cloud Foundation (VCF) deployments where applicable. - Implement and operate VMware integrations with cloud providers (VMware Cloud on AWS, AVS, GCVE). - Build observability for VMware infrastructure including performance, capacity, and compliance. - Lead VMware upgrades, lifecycle management cycles, and security patching across the virtualization estate. - Troubleshoot complex VMware issues spanning compute, network, and storage layers. - Stay current with VMware product evolution following the Broadcom transition. Benefits - Competitive base salary commensurate with experience, plus benefits. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

• Lead the deployment and configuration of software solutions in secure, classified environments in support of US government customers. Work closely with our engineering and product teams to integrate complex systems and infrastructure. • Serve as the main technical point of contact for government clients and their contractors, ensuring their requirements are met while adhering to strict security protocols. • Support the 2F Program manager in producing and delivering technical contract CDRLs. • Provide on-the-ground troubleshooting and immediate hand on support for client systems, including software bugs, hardware issues, and deployment failures. • Ensure that all deployed systems comply with government security standards and regulatory frameworks, including FedRAMP, NIST, and others. Maintain awareness of current security risks and advise clients on mitigation strategies. • Collaborate with cross-functional teams including engineering, DevOps, and security to implement secure and scalable solutions. • Maintain clear and concise documentation for system configurations, troubleshooting procedures, and security compliance activities. • Monitor system performance, troubleshoot issues, and suggest optimizations to improve the efficiency and effectiveness of deployed solutions. • Be on-site at client locations for system deployments, updates and troubleshooting during high impact operational exercises, integration and training events. Travel to remote locations may be required. • Up to 50% travel may be required at times to support critical client integrations

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Principal Site Reliability Engineer, you'll shape the long-term strategy for the infrastructure behind one of the most demanding platforms in sports betting and gaming. You'll drive the architectural direction of our cloud and on-premise platforms, helping engineering teams build, deploy, and operate highly reliable systems at scale. Working across Platform Engineering and Site Reliability Engineering, you'll influence how we modernize our infrastructure, strengthen operational excellence, and prepare our platform for the next generation of growth. What you'll do - Define and execute the long-term strategy for our Kubernetes platform across Google Kubernetes Engine, Amazon Elastic Kubernetes Service, RKE2, and on-premise environments, ensuring reliability, scalability, and operational consistency. - Drive architectural decisions across critical infrastructure, including cluster lifecycle management, networking, identity and access management, observability, autoscaling, capacity planning, and cost optimization. - Lead large-scale platform initiatives across multiple engineering teams, establishing technical direction, engineering standards, and measurable outcomes that improve platform reliability and developer experience. - Establish and evolve reliability practices by defining service level objectives, service level indicators, and error budget frameworks that align platform performance with business priorities. - Build automation-first infrastructure through Infrastructure as Code, GitOps workflows, self-healing systems, and internal platform tooling that improve engineering velocity and reduce operational overhead. - Champion the responsible adoption of AI-powered engineering capabilities that improve operational efficiency, accelerate incident response, and enhance developer productivity. - Lead critical platform incidents, drive post-incident improvements, and strengthen platform resilience through automation, capacity planning, and operational excellence. - Mentor senior engineers, influence technical strategy across the organization, and elevate engineering excellence through architecture reviews, coaching, and technical leadership. What you'll bring - A Bachelor's Degree in Computer Science or a related technical field. - At least 8 years of experience designing, operating, and scaling distributed cloud and on-premise infrastructure, including at least 3 years operating at the Staff, Principal, or equivalent technical leadership level. - Proven experience leading large-scale infrastructure or platform initiatives that require cross-functional alignment and long-term technical ownership. - Deep expertise with Kubernetes, including cluster architecture, networking, storage, security, operators, lifecycle management, and large-scale production operations. - Extensive experience building and operating production infrastructure in AWS and Google Cloud Platform using Infrastructure as Code technologies such as Terraform, Pulumi, or similar tools. - Strong software development experience in Go, Python, or both, with expertise in GitOps, continuous integration and continuous delivery, observability, distributed systems, Linux, and reliability engineering principles. - Experience incorporating AI-powered tools into engineering workflows while applying sound judgment around reliability, security, and operational risk. - Exceptional communication and leadership skills with a proven ability to mentor engineers, influence technical strategy, and drive engineering excellence. Experience working in regulated industries, hybrid cloud environments, contributing to open-source projects, or holding cloud certifications is preferred. #LI-MF1 Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 200,000.00 USD - 250,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

• Your main goal will be to turn n8n’s most strategic enterprise deployments into production-ready success stories by embedding on-site, solving real customer problems, and building reusable automation patterns that shape our product. • Drive high-impact enterprise deployments • Embed on-site with enterprise customers for focused 5-day deployment engagements, arriving with a hypothesis and leaving with production workflows in place. • Partner closely with Deployment Strategists to align technical execution with customer priorities, stakeholder needs, and adoption goals. • Build trust with technical and non-technical stakeholders by turning complex customer environments into clear, actionable solutions. • Build production-grade automation solutions • Design and build workflows, integrations, and custom nodes tailored to each customer’s environment and scalable beyond the initial use case. • Extend existing n8n nodes or add missing functionality where needed to unlock high-value enterprise use cases. • Translate ambiguous business problems into concrete automation designs that prioritize real customer value over technical complexity. • Work across industries and tech stacks, getting productive quickly in new environments. • Bridge customer needs with Product and Engineering • Identify when a bespoke customer requirement should become a reusable node improvement, product feature, or platform capability. • Create a clear feedback loop with Product and Engineering by documenting technical gaps, customer context, implementation learnings, and prioritization signals. • Contribute reusable learnings, workflows, custom nodes, and integration patterns to an internal playbook library. • Turn customer learnings into product and playbooks • Identify when a bespoke customer requirement should become a core product feature and document it clearly for Product. • Contribute reusable learnings, workflows, and patterns to an internal playbook library. • Help ensure every engagement makes the next one faster, stronger, and more productized. • Keep engagements focused and scalable • Deliver time-boxed customer engagements with clear outcomes, rather than open-ended professional services work. • Build solutions that customers can own and operate themselves. • Know when to build, when to simplify, and when to push back to avoid unnecessary complexity.