Firm Overview

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Credit, Fixed Income & Macro, Convertible & Volatility Arbitrage, Event-Driven, Equity Long/Short & Capital Markets, and Quantitative Strategies.

Role Overview

Our software engineers tackle some of the most challenging problems in finance. We design the core platforms and infrastructure, build sophisticated risk management tools, and scale distributed systems that analyze exceptional volumes of data in real time. Everything we build is in service of sharpening the firm's trading edge. We focus on high-impact problems aligned to commercial goals, so the work is both technically engaging and personally rewarding. Our engineers are versatile, lead from where they sit, and take on new problems across the stack as we push to be the very best at what we do.

The Platform and Infrastructure group engineers and operates the foundational systems that power every application and business at Verition. Our disciplines span datacenter infrastructure to large-scale cloud services, with a shared goal: providing the most reliable, performant, and modern technology stack possible to accelerate time-to-market for the businesses we support. We work in a fast-paced, collaborative environment where challenging the status quo of our infrastructure is the expectation, not the exception.

Linux Engineering owns the platform that most of Verition's compute runs on. This is deep, hands-on infrastructure work: the Linux fleet across our private data centers and cloud regions, tuned for the performance and latency demands of a quantitative trading firm, and automated so that thousands of machines behave as one coherent, code-defined platform. As a Senior Platform Engineer, you'll own significant pieces of that surface directly — from kernel-level tuning on our most latency-sensitive systems to the automation that provisions and maintains the fleet — working closely with the Tech Lead for Linux Platform Engineering to execute one coherent OS-platform strategy, alongside the Windows Engineering team that owns its counterpart.

Responsibilities

• Engineer, automate, and operate the firm's Linux fleet across private data centers and cloud regions, holding it to the reliability, performance, and security standards demanded by a quantitative trading environment.
• Perform kernel-level and system-level performance tuning on latency-sensitive systems, including core pinning and shielding, kernel bypass, network stack tuning, and interrupt steering.
• Build and maintain deployment, configuration, patching, and monitoring automation in Python and modern configuration management, treating the Linux estate as code rather than as hand-managed servers.
• Own significant pieces of the Linux platform surface hands-on across both Red Hat Enterprise Linux and Ubuntu, from provisioning through in-life management.
• Define and enforce Linux security baselines and hardening standards, partnering with Security Engineering on patching cadence, privileged access, and the firm's broader identity and short-lived-credential strategy.
• Contribute to the OS-platform technical strategy set by the Tech Lead, Linux Platform Engineering, bringing deep Linux expertise so that decisions span both platforms coherently.
• Partner with Data Center & Fleet Infrastructure on provisioning and asset management, and with Developer Tools & Infrastructure on build and CI integration, so the Linux platform is well-integrated with the rest of the stack.
•  Provide production support for the Linux surface, including participation in an on-call rotation, and drive continuous improvement of its reliability and observability.
• Mentor engineers across the team on Linux internals, performance, and automation, raising the bar for how the firm builds and operates Linux infrastructure.

Qualifications

•  Bachelor's degree in computer science, a related technical field, or equivalent practical experience.
• 5 years of experience in systems or platform engineering, with a focus on Linux infrastructure.
• Advanced experience with the inner workings of the Linux kernel, including core pinning and shielding, kernel bypass, network stack tuning, and interrupt steering.
• Strong working knowledge of both Red Hat Enterprise Linux and Ubuntu.
• Strong experience automating deployment, configuration, patching, and monitoring with Python, including modern configuration-management approaches (e.g., Ansible, or equivalent).
• Experience defining and applying Linux security baselines and hardening standards (e.g., CIS Benchmarks, STIGs).
• Experience with distributed systems and cloud platforms.
• Preferred Qualifications:
• Master's degree or PhD in Engineering, Computer Science, or related technical field.
• Experience in one or more general-purpose programming languages (e.g., C++, Java, Rust).
• Experience with “metal as a service” type build factories and Kubernetes-based bare-metal provisioning systems.
• Experience tuning Linux for low-latency or trading-adjacent workloads.
• Strong working knowledge of agentic developer productivity tooling and customization such as spec-driven development, MCP servers, and Claude Code sub-agents, skills, and workflows.
• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
• Experience partnering with quantitative developers and researchers in a finance setting.
• Contributions to relevant open-source projects.
• Excellent written and verbal communication skills.
• High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
• Ability to work effectively in a team-oriented, fast-paced, and dynamic environment.

The annual base salary range for this position is $150,000 to $200,000 (USD). In addition to base salary, this position is eligible for a discretionary performance bonus and a comprehensive benefits package. Actual compensation offered to the successful candidate will be determined based on a variety of factors such as geographic location, work experience, qualifications, and skill level.