6 дней назад
Senior Infrastructure Engineer (Web3)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Infrastructure Engineer (Web3): Building and scaling a self-service infrastructure platform for an onchain trading stack with an accent on Kubernetes, infrastructure as code, reliability, security, and developer enablement. Focus on reducing latency, designing dynamic deployment systems, building local stack orchestration, and validating infrastructure against contained security attacks.
Location: On-site in New York City, United States. Core-office employees are generally expected to work from the office.
Company
is building a transparent, permissionless onchain trading platform for stocks, commodities, currencies, and crypto.
What you will do
- Maintain, improve, and optimize high-scale data pipelines.
- Build, deploy, and manage applications and services using 100% infrastructure as code.
- Reduce latency, improve observability, and collaborate with application teams on performance-focused code.
- Establish infrastructure best practices and enable developers to self-serve deployments, infrastructure requests, monitoring, and alerting.
- Improve reliability and security by identifying attack vectors and coordinating contained system attacks with AI tools and existing test suites.
- Develop and mature a local stack orchestrator for testing, validation, multiple application configurations, and parallel agent workflows.
Requirements
- On-site availability in New York City is required for this position.
- Strong understanding of core infrastructure fundamentals, including security, networking, and access control.
- Strong Kubernetes experience and knowledge of Kubernetes best practices.
- Hands-on experience with Terraform, ArgoCD, GitHub Actions, Docker, Prometheus, and Grafana.
- Strong commitment to infrastructure as code and experience with CI/CD pipelines and dynamic release systems.
- Security-minded, solution-oriented, proactive, collaborative, and willing to learn across engineering, operations, and quantitative disciplines.
Nice to have
- Strong understanding of modern data pipelines and related best practices.
Culture & Benefits
- In-person collaboration is emphasized, with regular face-to-face work and product sprints.
- Some flexibility is available for remote work while visiting family over the holidays.
- AI-native working practices are encouraged, with an emphasis on validating outputs and maintaining engineering judgment.
- Direct debate, ownership, rapid execution, and a disagree-and-commit operating style.
- Inclusive, equal-opportunity employment environment.
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