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Site Reliability Engineering Tech Lead

Оценка ИИ

Отличная позиция в быстрорастущем стартапе с сильным продуктом, поддержкой топовых инвесторов и культурой удаленной работы. Высокий балл за стек технологий и влияние на продукт.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием более 8 лет опыта в SRE и 3 лет в техлидстве, а также необходимостью глубоких знаний мультиоблачных архитектур и распределенных систем.

Анализ зарплаты

Медиана220 000 $
Рынок190 000 $ – 260 000 $
Оценка ИИ

Предлагаемая роль Tech Lead в Пало-Альто предполагает зарплату выше среднего по рынку США из-за высокой ответственности и требований к опыту. Рыночные оценки для таких позиций в Кремниевой долине часто превышают $200,000 в год без учета опционов.

Сопроводительное письмо

I am writing to express my strong interest in the Site Reliability Engineering Tech Lead position at Acryl Data. With over 8 years of experience in SRE and platform engineering, including significant leadership roles, I have a proven track record of building and scaling robust infrastructure for high-growth SaaS platforms. My expertise in Kubernetes, Terraform, and multi-cloud architectures aligns perfectly with your mission to deliver DataHub Cloud and enterprise deployment solutions to global leaders like Netflix and Apple.

In my previous roles, I have successfully led technical initiatives to improve system reliability and implement automated remediation, which directly mirrors the responsibilities outlined for this position. I am particularly excited about the opportunity to architect a management control plane for enterprise-grade deployments and to work with the thriving DataHub open-source community. I am confident that my technical vision and experience in mentoring engineering teams will contribute significantly to Acryl Data's continued success in the evolving AI and data context market.

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Откликнитесь в acryldata уже сейчас

Присоединяйтесь к лидерам в области AI-метаданных и возглавьте SRE-направление в Acryl Data уже сегодня!

Описание вакансии

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.

The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.

About the Role

We're seeking an experienced Site Reliability Engineering (SRE) Tech Lead to join DataHub and drive the reliability, scalability, and operational excellence of our platform offerings. In this role, you'll lead technical initiatives across DataHub Cloud and our emerging enterprise deployment solution, which provides customers with enhanced control and flexibility for running DataHub in their preferred environments.

Key Responsibilities

Technical Leadership & Architecture

  • Design and implement robust, scalable infrastructure solutions for DataHub Cloud and enterprise deployments
  • Lead the technical vision for multi-cloud deployment strategies and distributed system integrations
  • Architect monitoring, observability, and alerting systems across diverse environments
  • Drive best practices for infrastructure as code, configuration management, and deployment automation

Enterprise Platform Development

  • Partner with product and engineering teams to influence the development of advanced deployment capabilities
  • Collaborate with cross-functional teams to help build systems for seamless installation, upgrade, and rollback processes across various environments
  • Influence the design and help implement comprehensive monitoring and health check systems for distributed deployments
  • Partner with engineering teams to help develop self-healing and automated remediation capabilities

Platform Reliability & Operations

  • Establish and maintain SLAs/SLOs for both cloud and enterprise offerings
  • Lead incident response and post-mortem processes to drive continuous improvement
  • Implement chaos engineering practices to proactively identify system weaknesses
  • Optimize system performance, capacity planning, and cost efficiency

Team Leadership & Collaboration

  • Mentor and guide a team of SRE engineers and collaborate with platform engineering teams
  • Work closely with product, engineering, and customer success teams to ensure reliable product delivery
  • Improve on-call practices, runbooks, and knowledge sharing processes
  • Drive cross-functional initiatives to improve overall system reliability

Required Qualifications

  • 8+ years of experience in Site Reliability Engineering, Platform Engineering, or DevOps roles
  • 3+ years of technical leadership experience managing engineering teams
  • Strong expertise with cloud platforms (AWS, GCP, Azure) and infrastructure automation tools
  • Proficiency in containerization technologies (Docker, Kubernetes) and orchestration
  • Experience with infrastructure as code tools (Terraform, CloudFormation, Pulumi)
  • Strong programming skills in Python, Java, or similar languages
  • Deep understanding of monitoring and observability tools (Prometheus, Grafana, Datadog, etc.)
  • Experience with CI/CD pipelines and deployment automation
  • Strong knowledge of networking, security, and database operations in cloud environments

Preferred Qualifications

  • Experience building and operating multi-tenant SaaS platforms
  • Background in developing customer-facing deployment and management tools
  • Knowledge of data infrastructure and metadata management systems
  • Experience with service mesh technologies and microservices architectures
  • Previous experience in a customer-facing technical role or working with enterprise clients
  • Experience with data governance or data catalog platforms

What You'll Build

  • A robust management control plane for enterprise-grade deployments
  • Automated deployment pipelines supporting multiple cloud providers and customer environments
  • Comprehensive monitoring and alerting systems with customer-facing dashboards
  • Self-service tools for customers to manage their DataHub installations
  • Disaster recovery and backup solutions for enterprise deployments
  • Performance optimization and scaling solutions for high-volume data workloads

Benefits and Perks

We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.

Competitive compensation

We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.

Equity for everyone

Every team member receives an ownership stake in the company. When we grow, you grow with us.

Remote Work

All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.

Location flexibility

Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.

Comprehensive health coverage

Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.

Flexible savings accounts

We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.

Support for every path to parenthood

Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.

Time off that works for you

We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.

Why Join Us

DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.

By joining our team, you’ll:

  • Tackle high-impact challenges at the heart of enterprise AI infrastructure
  • Ship production systems that power real-world use cases at global scale
  • Collaborate with a high-caliber team of builders who’ve scaled some of the most influential data tools in the world
  • Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more

If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!

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Навыки

  • Kubernetes
  • Docker
  • Terraform
  • AWS
  • Google Cloud Platform
  • Azure
  • Python
  • Java
  • Prometheus
  • Grafana
  • Datadog
  • Pulumi
  • CloudFormation
  • CI/CD

Возможные вопросы на собеседовании

Проверка опыта управления инцидентами и способности извлекать уроки для предотвращения повторных сбоев.

Опишите самый сложный инцидент, которым вы руководили. Какие шаги были предприняты для восстановления и как вы изменили процессы после постмортема?

Оценка навыков проектирования масштабируемых систем, что критично для DataHub Cloud.

Как бы вы спроектировали систему мониторинга и алертинга для мультиоблачной SaaS-платформы с тысячами клиентов?

Проверка опыта работы с инфраструктурным кодом и автоматизацией.

Какие стратегии вы используете для управления состоянием Terraform в крупных распределенных средах?

Оценка лидерских качеств и умения развивать команду.

Как вы подходите к менторству инженеров и внедрению культуры SRE в командах разработки?

Проверка понимания специфики работы с корпоративными клиентами.

Как вы обеспечиваете баланс между гибкостью развертывания для крупных корпоративных клиентов и стандартизацией вашей облачной платформы?

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