DevOps Engineer

Teza Capital Management LLC

Austin (TX)

On-site

USD 100,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Health, vision, and dental insurance
Flexible sick time policy

Job summary

Teza Capital Management LLC is seeking a DevOps Engineer in Austin, Texas, to enhance our infrastructure platform for systematic trading. You will drive the evolution of tools and systems that our quant and trading teams rely on daily.

The ideal candidate has a strong background in Linux systems, container orchestration, and programming. Benefits include health insurance and a flexible sick time policy.

Qualifications

  • Experience in building internal platform services for development teams.
  • Deep understanding of how infrastructure supports engineering teams.
  • Hands-on programming ability in Python or similar.

Responsibilities

  • Own and evolve infrastructure for quants, developers, and traders.
  • Shape tooling choices and establish standards for the platform.
  • Implement full-stack observability across internal services.

Skills

Linux systems administration
Container orchestration (Docker, Kubernetes)
Python or other scripting language
Cloud provider proficiency (AWS, GCP, Azure)
Infrastructure security knowledge

Tools

Terraform
Pulumi
Ansible

Job description

About the role

Teza is a systematic trading firm building quantitative strategies across multiple asset classes. We are looking for a DevOps Engineer to own and evolve our infrastructure platform — the systems that our quants, developers, and traders rely on every day.

Our infrastructure team is at an inflection point. We have a working platform that supports active trading and research, and we are now investing in making it more robust, observable, and developer-friendly. The successful candidate will have significant influence over the direction of our infrastructure — shaping tooling choices, establishing standards, and building systems that scale with the firm.

Location

Austin, Texas or Yerevan, Armenia

What We’re Building Toward

As a team, we are working toward the following goals. You will play a central role in defining the approach and driving execution:

  • Full-stack observability across all internal services — unified metrics, centralized logging, distributed tracing, and actionable alerting — so that engineers and traders have clear, real-time visibility into system health and performance.
  • Reliable, self-service compute orchestration spanning Slurm (HPC/ML workloads), Hadoop (batch data processing), and Airflow (workflow scheduling) — enabling researchers and data engineers to run workloads at scale without infrastructure bottlenecks.
  • Mature secrets management for trading credentials, API keys, certificates, and service-to-service authentication — with rotation policies, auditing, and tight integration into deployment workflows.
  • Unified release pipelines that bring consistency to how diverse applications — trading strategies, data pipelines, and real-time trading systems — move from development to production, each with their own build, test, and deployment needs.
  • A well-maintained platform foundation where shared services — identity management, GitHub Actions runners, VPN, observability tooling — stay current and reliable without disrupting active trading.
  • Strong security posture across production and research environments — network segmentation, access controls, vulnerability management, and compliance — that evolves alongside the platform rather than being bolted on after the fact.
Requirements
  • Experience building and operating internal platform services for development teams (CI/CD, compute, monitoring, developer tooling) — not just consuming them.
  • Strong proficiency in Linux systems administration and container orchestration (Docker, Kubernetes, or similar).
  • Deep understanding of the software development lifecycle and how infrastructure supports engineering teams — from local development through CI to production deployment.
  • Familiarity with ML and data-intensive workflow requirements: GPU scheduling, large dataset access patterns, experiment tracking, and reproducible compute environments.
  • Proficiency with at least one major cloud provider (AWS, GCP, or Azure) including networking, IAM, and managed services.
  • Experience designing and operating hybrid infrastructure — cloud, on-premises, and colocation environments — with an understanding of the tradeoffs between them.
  • Hands‑on programming ability in Python or another scripting language, sufficient to build tooling, automation, and infrastructure-as-code — not just run playbooks.
  • Solid understanding of core network protocols and services: DNS, LDAP, SMTP, TLS, HTTP, and SSH.
  • Practical knowledge of infrastructure security: firewall management, access control models (zero-trust, bastion hosts), vulnerability scanning, patch management, and audit logging.
Nice to Have
  • Experience in a trading firm or other environment with strict uptime and latency requirements.
  • Familiarity with infrastructure-as-code tools (Terraform, Pulumi, Ansible).
  • Experience with log aggregation and SIEM systems.
  • Understanding of compliance frameworks relevant to financial services.
Benefits
  • Health, vision, and dental insurance
  • Flexible sick time policy
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