---
title: 'Lead Infrastructure Engineer at Teza Technologies'
canonical: 'https://feeny.ai/job/lead-infrastructure-engineer-teza-technologies-austin-mv6e62n2neen'
type: 'job'
last_seen: '2026-10-30'
---

# Lead Infrastructure Engineer at Teza Technologies

- **Company:** Teza Technologies
- **Location:** Austin, TX
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-01-21
- **Last confirmed live:** 2026-10-30
- **Apply:** https://jobs.ashbyhq.com/teza-technologies/e7820977-8f14-4956-9dbc-ae7b92143b86

## Job description

## About the role

Teza is a systematic trading firm developing quantitative strategies across multiple asset classes. We are looking for a Lead Infrastructure Engineer to own the platform that supports our traders, quants, and developers. This includes colocation hardware near the exchanges, research compute and developer services, and the security and release processes that connect these environments. This is a player-coach role. You will lead the infrastructure team, which includes DevOps Engineers and Infrastructure Engineers, and set its technical direction while remaining hands-on. You will provision and tune bare-metal trading servers, respond to production incidents, and review the designs and solutions your team delivers. We are not looking for a manager who delegates all technical work or an engineer who avoids leading people. We need someone who can do both and determine where their time and attention are most needed. Our platform supports active trading and research today, and we are investing in making it more robust, observable, secure, and developer-friendly. You will have significant ownership and decision-making over infrastructure tooling, standards, and priorities across the firm.

Location: Austin, Texas (On-Site)

What You'll Own:

- Trading Infrastructure and Colocation. Oversee server procurement and lifecycle management across multiple exchange colocations. Select low-latency NICs, such as Solarflare, Exanic, and Mellanox, and kernel-bypass technologies. Develop and maintain Linux tuning standards for trading hosts, including CPU isolation, NUMA-aware pinning, IRQ affinity, and BIOS and kernel settings. Manage hardware failures, spare capacity, and capacity planning.
- Research and Developer Platform. Oversee compute orchestration for researchers and data engineers, including Slurm for HPC, machine learning, and GPU workloads; Hadoop for batch processing; and Airflow for workflow scheduling. Support shared services such as JupyterHub, databases, artifact storage, and large-dataset storage. Determine when Kubernetes is appropriate and when alternative approaches are better suited.
- Security. Establish and maintain access controls for production trading hosts in colocation. Manage network segmentation across colocation, corporate, and research environments. Oversee secrets management for exchange credentials, API keys, and certificates, including rotation, auditing, and deployment integration. Lead vulnerability management, patching for systems that cannot be routinely rebooted, intrusion detection, and incident response.
- Releases and Deployment. Define how trading strategies, data pipelines, and real-time trading systems move from development into production. Establish rollback procedures and release processes for infrastructure changes, including kernels, firmware, and NIC drivers. Oversee infrastructure-as-code pipelines and coordinate releases with the trading calendar.
- Operational Maturity. Establish the on-call model and escalation paths. Improve observability across internal services through metrics, logging, tracing, and alerting. Lead incident response and blameless post-mortems, ensuring action items are tracked and completed.
- Hybrid Infrastructure. Oversee colocation infrastructure for trading, along with on-premises and cloud environments supporting research and corporate workloads. Evaluate the tradeoffs between these environments, manage cloud costs, and establish disaster recovery plans with defined recovery time objectives (RTOs) and recovery point objectives (RPOs).
- The Team. Hire, develop, and retain infrastructure engineers. Set priorities across trading performance and latency, research compute needs, and operational tooling. Represent the infrastructure team and its priorities across the firm.

What We're Building Toward: These are the shared goals of the infrastructure team. DevOps Engineers and Infrastructure Engineers execute against them, while you set the technical approach, establish priorities, and drive progress.

- Full-stack observability across internal services, including unified metrics, centralized logging, distributed tracing, and actionable alerting.
- Reliable, self-service compute orchestration across Slurm, Hadoop, and Airflow, enabling researchers and data engineers to run workloads at scale without unnecessary infrastructure bottlenecks.
- Mature secrets management for trading credentials, API keys, certificates, and service-to-service authentication, with rotation, auditing, and deployment integration.
- Unified release pipelines that standardize how trading strategies, data pipelines, and real-time trading systems move from development to production.
- A well-maintained platform foundation that includes identity management, GitHub Actions runners, VPN, and observability tooling, with updates delivered safely and without disrupting active trading.
- A strong security posture across production and research environments, with security practices that evolve alongside the platform rather than being added after the fact.

Basic Requirements:

- Experience operating infrastructure for a trading firm or another environment with strict uptime and latency requirements, including hands-on experience with colocation hardware and bare-metal Linux servers.
- Deep, demonstrable expertise in low-latency Linux, including kernel and network tuning, CPU and NUMA isolation, IRQ affinity, and kernel-bypass NICs and technologies such as Solarflare/Onload, Exanic, and Mellanox/DPDK. You must also have the measurement discipline to validate performance improvements.
- Experience leading an infrastructure, DevOps, or SRE team, including hiring, setting priorities, and taking accountability for outcomes while remaining a hands-on technical contributor.
- Experience building and operating internal platform services for development and research teams, including CI/CD, compute, storage, monitoring, and developer tooling. Experience consuming these services alone is not sufficient.
- Strong Linux systems administration skills and experience with container orchestration technologies such as Docker and Kubernetes. You should understand where containers are appropriate in a trading environment and where they are not.
- Familiarity with machine learning and data-intensive workflows, including GPU scheduling, large-dataset access patterns, and reproducible compute environments.
- Experience designing and operating hybrid infrastructure across colocation, on-premises, and at least one major cloud provider, such as AWS, GCP, or Azure. You should understand the tradeoffs between these environments.
- A practical, mature approach to infrastructure security, including access control models such as zero-trust and bastion hosts, network segmentation, secrets management, vulnerability scanning, patch management, audit logging, and incident response.
- Hands-on programming experience in Python or another scripting language, with the ability to build tooling, automation, and infrastructure-as-code solutions rather than simply execute existing playbooks.
- A solid understanding of core network protocols and services, including TCP/IP, multicast market data delivery, DNS, LDAP, Kerberos, TLS, HTTP, and SSH.
- A track record of managing structured on-call and incident response processes, including escalation paths, post-mortems, and follow-through on action items.

Nice to Have:

- Experience with FPGA-based or other hardware-accelerated market data and order-entry systems.
- Experience with HPC storage and networking, including NFS at scale, parallel filesystems, and InfiniBand.
- Familiarity with infrastructure-as-code tools such as Terraform, Pulumi, and Ansible.
- Experience with log aggregation and security information and event management (SIEM) systems.
- Understanding of compliance frameworks relevant to financial services.

## Benefits

- Health, visual and dental insurance
- Flexible sick time policy

## About Teza Technologies

## Company Overview
- **One-liner**: Teza Technologies is a systematic trading firm that translates complex mathematical concepts into financial strategies across global markets, blending high-performance technology with deep scientific research.
- **Entity Type**: Private (bootstrapped; no external funding rounds disclosed)
- **Headquarters**: Chicago, United States
- **Founded**: 2009
- **Founders**: Dr. Misha Malyshev

## Core Business
- **Primary industry/industries**: Capital Markets / Quantitative Finance / Hedge Funds
- **Target customers**: Institutional investors; the firm operates a multi‑strategy quantitative hedge fund that trades on its own capital (internal money from 2009–2015, later opened to institutional capital).
- **Mission or purpose statement**: “Talent, science, and innovation meet” – the firm aims to be the best team on the financial markets through collaborative research and scientific rigor.

## Products & Services
- **Futures**: Models supply/demand across global commodities, bonds, and currencies using a framework built on market microstructure and economic causality. Strategies are market‑neutral and statistically driven, processing over 500 billion market data packets daily.
- **Equities**: Spans thousands of instruments in U.S. and APAC markets, combining scale with precision. Statistical arbitrage and high‑throughput systems are core.
- **Options**: Expanding into volatility surfaces and correlation models. Volatility‑aware strategies that draw on firm‑wide equities and futures capabilities.
- **Artificial Intelligence**: Deep learning architectures including LLMs and neural networks to uncover hidden signals. Integrated into every stage of the trading lifecycle.
- **Technology Platform**: Low‑latency infrastructure, real‑time execution, scalable research stack. At peak processes 7+ million messages per second.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Approximately 76 employees (LinkedIn); estimated annual revenue of $10M is reported by some third‑party sources but has not been officially confirmed.
- **Notable Investors/Partners**: The firm is privately held with no disclosed external investors. Key past talent sources include Citadel, Tower Research Capital, Yandex, and Goldman Sachs.
- **Growth Signals**: Headcount grew +16.3% year‑over‑year (LinkedIn); active job postings increased +87.5% year‑over‑year; expanded into Armenia and deepened presence in global equity and options markets; multi‑strategy platform now covers global futures, equities, and options.

## Competitive Advantages
- **Proprietary formula for hiring**: “Success = step(IQ) × step(IT) × step(HR) × exp(Drive)” – filters for fast thinking, technical fluency, collaboration, and ownership. Creates a culture of high‑performing, autonomous teams.
- **Scientific culture**: Flat, open‑door structure with minimal bureaucracy; strong emphasis on R&D and rapid prototyping.
- **Infrastructure scale**: Processes 100+ billion market data packets daily; built one of the fastest low‑latency execution systems.
- **Track record**: Operating since 2009 with deep roots in HFT (historical Sharpe ratios of 10‑20), now diversified across multiple strategies and asset classes.

## Strategic Focus
- **Expansion beyond HFT**: Transitioned from a pure high‑frequency trading shop to a multi‑strategy quantitative hedge fund.
- **Options trading**: Actively building and scaling options strategies using the firm’s equities and futures expertise.
- **AI integration**: Deploying LLMs, neural nets, and machine‑learned alpha across research and trading.
- **Global footprint**: Offices in Chicago, Austin, London, Yerevan, and presence in Colombia, with plans to further expand talent pools globally.

## Why Work Here
- **Culture**: “Scientific, open‑door culture with a flatter structure.” Employees are encouraged to question, experiment, and collaborate across disciplines. No micromanagement, no bureaucracy.
- **Benefits** (U.S.): 401(k) with immediate vesting, two medical plans (PPO and HDHP with HSA), wide range of coverage.
- **Work environment**: 76 person firm with offices in six time zones; hybrid/office‑based depending on role. Most employees write code (C++, Java, Python).
- **Interview process**: Averages 25‑30 days; includes coding tests, live problem‑solving, and non‑technical assessments. Technical topics vary by role. Uses an Automated Employment Decision Tool (AEDT) for skills assessment.
- **Notable engineering culture**: Emphasis on technical fluency across the entire firm (not just developers). Research and engineering teams work tightly together.

## Sources
1. [teza.com](https://www.teza.com/) – Company homepage
2. [teza.com/who-we-are](https://www.teza.com/who-we-are/) – Company story, leadership, values
3. [teza.com/what-we-do](https://www.teza.com/what-we-do/) – Products, technology, AI, strategies
4. [teza.com/careers](https://www.teza.com/careers/) – Careers page, benefits, interview process, culture
5. [linkedin.com/company/teza-technologies](https://www.linkedin.com/company/teza-technologies) – Employee data, headcount growth, job trends, talent sources

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