Role Description The Senior Azure Cloud Engineer is a hands-on technical role responsible for designing, building, securing, and operating Azure infrastructure that supports mission-critical healthcare platforms and production workloads. This role owns cloud infrastructure end-to-end, from architecture and automation to operational reliability and security. This position requires deep technical expertise in Microsoft Azure, Infrastructure as Code (IaC), automation, and cloud security, with the ability to operate independently in a production environment. The Senior Cloud Engineer is also expected to influence standards, mentor other engineers, and raise the overall technical bar of the cloud platform. Job Responsibilities for the Sr. Azure Cloud Engineer - Cloud Architecture & Engineering - Design, implement, and operate scalable, secure Azure infrastructure across multiple environments - Architect and maintain Azure IaaS and PaaS workloads with a strong focus on reliability, performance, and cost efficiency - Support hybrid and enterprise Azure architectures, including Entra ID, Microsoft Active Directory (On-premises), secure networking, and on-prem integrations - Apply Azure Well-Architected Framework principles across security, reliability, performance, cost, and operational excellence - Infrastructure as Code & Automation - Own and evolve Infrastructure as Code standards using Terraform and/or Bicep - Build fully automated, repeatable deployments for Azure resources and platform components - Develop automation using PowerShell (Python a plus) to eliminate manual operational tasks - Design and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions for infrastructure delivery - Security & Governance - Implement and enforce Azure security controls including RBAC, Azure Policy, Microsoft Defender for Cloud, and secure networking patterns - Ensure cloud environments meet compliance and audit requirements common to regulated healthcare systems - Partner with Security teams to remediate vulnerabilities and continuously improve cloud security posture - Operations & Reliability - Lead troubleshooting and root-cause analysis for complex infrastructure and platform issues - Improve monitoring, alerting, and observability using Dynatrace, Azure Monitor, Log Analytics, and related tooling - Support high-availability and disaster recovery designs for critical production workloads - Participate in on-call or escalation rotations as a senior escalation point - Leadership & Collaboration - Mentor and technically guide mid-level and junior cloud engineers - Contribute to platform standards, best practices, and architectural decision-making - Collaborate closely with DevOps, Application, Database, and Security teams - Produce and maintain clear technical documentation for architectures, standards, and operational procedures Qualifications - Bachelor's Degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education and experience. - 7+ years of experience in infrastructure, cloud, or platform engineering roles - 5+ years of hands-on experience designing and operating Microsoft Azure environments - Strong expertise in Azure IaaS and PaaS services - Advanced experience with Infrastructure as Code (Terraform, Bicep, or ARM) - Strong scripting and automation skills, especially PowerShell - Deep understanding of Azure networking (VNets, NSGs, firewalls, load balancers, private endpoints) - Experience supporting Windows Server and SQL Server workloads in Azure - Proven experience operating production environments with high availability and security requirements - Ability to work independently, make sound technical decisions, and own outcomes Preferred Job Requirements for the Sr. Azure Cloud Engineer - Experience with AKS / Kubernetes and containerized workload - Experience supporting SaaS or healthcare platforms in regulated environments - Familiarity with cost optimization, capacity planning, and performance tuning in Azure - Prior experience mentoring engineers or acting as a technical lead Benefits - Competitive compensation and benefits packages - Challenging, yet flexible, work environment - Opportunities for growth and continued learning - Recognition of individual contributions

Role Description This is a remote position. We are seeking a Kubernetes Administrator to support a large-scale Facets migration project within the healthcare payer environment. This role will be responsible for installing, configuring, and managing containerized applications across production-grade Kubernetes clusters, ensuring system reliability, scalability, and performance. - Install, configure, and manage Kubernetes clusters in development, testing, and production environments - Deploy, monitor, and maintain containerized applications using Kubernetes - Ensure high availability, scalability, and performance of Kubernetes environments - Troubleshoot cluster, application, and infrastructure issues, performing root cause analysis and resolution - Support deployment and integration activities related to the Facets migration project - Implement and maintain CI/CD pipelines for containerized applications - Manage cluster security, including access controls, secrets management, and vulnerability remediation - Monitor system health using logging and monitoring tools, ensuring proactive issue detection - Collaborate with DevOps, development, and infrastructure teams to optimize system performance - Maintain documentation for cluster configurations, processes, and best practices Qualifications - Experience administering Kubernetes in production environments - Strong knowledge of containerization technologies, including Docker - Experience with cloud platforms such as AWS, Azure, or Google Cloud - Experience with CI/CD tools and automation frameworks - Strong troubleshooting and problem-solving skills - Understanding of networking, security, and system performance within containerized environments - Excellent communication skills, with the ability to work across technical teams - Experience supporting healthcare systems or payer environments - Exposure to Facets or similar healthcare platforms - Experience working on system migration or transformation projects - Familiarity with Infrastructure as Code (Terraform, Helm) - Experience with monitoring tools such as Prometheus, Grafana, or similar

About Us: Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview: DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. Job Responsibilities: - Firm-Wide Cloud Platform - Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks. - Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). - Define compute placement strategies, including cluster placement groups and locality-aware scheduling. - Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely. - Own FinOps visibility and cost optimization frameworks across all trading and research workloads. - Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. - Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. - Mentor engineers and establish infrastructure standards that raise the engineering bar across teams. - Cloud Migration (CME-GCP) - Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. - Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). - Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. - Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. - Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace. - Crypto Desk – Specialized Support - Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. - Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. - Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability. Requirements: - At least 5+ years of experience in a similar role in the industry - Extensive hands-on experience with both AWS and GCP in performance-sensitive environments - Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP - Extensive experience with Terraform at scale - Direct experience supporting electronic trading or low-latency systems - Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams - GCP & Cloud Migration - Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes - Working knowledge of GCP IAM, Organization Policies, and multi-project governance - Understanding of multi-cloud networking patterns and cross-cloud security posture management - Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure - Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events Benefits: - Discretionary bonus eligibility - Medical, dental, and vision insurance - HSA, FSA, and Dependent Care Options - Employer Paid Group Term Life and AD&D insurance - Voluntary LTD, Life & AD&D insurance - Flexible Vacation policy - Retirement plan with employer match - Paid Parental Leave - Wellness Programs Annual compensation range $210k-$260k USD + discretionary bonus eligibility DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

• Develop and evaluate machine learning systems: Design, implement, and assess advanced models for problems such as fraud detection, authentication, biometric verification, speech processing, video understanding, and synthetic media detection. • Prototype and validate new research ideas: Explore state-of-the-art AI/ML techniques and build proof-of-concept systems to address emerging challenges in security, identity, and media authenticity. • Work with multimodal data: Analyze and model speech, audio, video, and related signals to improve system accuracy, robustness, and real-world performance. • Benchmark against industry standards: Evaluate models on internal and public datasets, participate in relevant research benchmarks and challenges, and compare approaches against state-of-the-art methods. • Collaborate on research and innovation: Partner with researchers, engineers, and cross-functional teams to translate research ideas into practical capabilities. Contribute to technical reports, publications, and thought leadership where appropriate.