DV Trading

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.

We are seeking a highly motivated Futures & Options Trading Analyst Intern with a strong background in Financial Engineering, Quantitative Finance, Mathematics, or a related field to support our derivatives trading desk. This internship offers hands-on exposure to futures and options markets, quantitative modeling, and real-time trading operations. Conduct quantitative analysis of futures and options markets across asset classes (equities, rates, FX, commodities) Assist in developing and backtesting trading strategies Analyze implied volatility, option Greeks, and volatility surfaces Monitor market movements, news, and macroeconomic indicators Support real-time trading decisions with data-driven insights Build dashboards, reports, and analytical tools Perform statistical analysis of historical market data Assist with position monitoring, P&L tracking, and risk reporting Identify pricing anomalies and relative-value opportunities Document models, methodologies, and findings