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FLO

Site Reliability Engineer

в FLO

300 000 —‍ 360 000 ₽/мес на руки

📍 Вильнюс (Литва)МоскваПомощь с переездом
Специализация
Data Science / Machine Learning
Уровень
Senior
Английский
B1 — IntermediateB1 — Intermediate
Команда
6 - 10 человек

Flo is the most popular health & fitness app globally, used by 190+ million women around the world, with 41 million monthly active users.

At Flo, they’ve created a unique mobile product to help women put themselves first. Using the power of data science, AI, and the knowledge of 80+ medical experts, Flo supports women during their entire reproductive lives and provides curated cycle and ovulation tracking, personalized health insights, expert tips, and a private community to share questions and concerns.

They're a world-class team of product builders, engineers, data scientists, growth hackers, user researchers, designers, and medical experts — all building an app that generates long-term value to their millions of users worldwide. Their engineers aren’t just building a better product; they’re making the world a better place by improving access to important health information. They leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, and medically credible health tips.

Site Reliability Engineer is responsible for keeping all their production ML infrastructure running smoothly. In this role you establish Service Level Objectives (SLOs) that define how reliability looks like in their production Machine Learning environments, and engineer observable solutions so that SLOs are measured by Service Level Indicators (SLIs).

Stack

PythonScalaGoAWSKubernetes

Responsibilities

  • Establish SLOs and SLIs for data and machine learning pipelines in collaboration with data and ML engineers.
  • Design and implement observability of the production ML systems - making it easy to instrument, monitor, alert, troubleshoot and resolve.
  • Monitor model prediction performance.
  • Maximize the utilization of CPU/GPU clusters across data science teams.
  • Improve and advance DataOps and MLOps infrastructure and operational processes.

Requirements

Essential:

  • 4+ years of professional experience.
  • Deep understanding of SRE fundamentals.
  • Experience in designing, building and operating distributed systems at scale.
  • Strong proficiency with Python, Scala and/or Go.
  • Experience with AWS or other cloud providers.
  • Experience with Kubernetes.
  • Experience with ML Inference servers such as Triton, KFServing, or Seldon Core.
  • Experience with observability tools such as Prometheus, Thanos, Cortex or Sensu.
  • Good level of English (upper-intermediate and higher).

Nice to have:

  • Experience with infrastructure as code tools such as Terraform, Cloudformation, Ansible, Puppet or Chef.
  • Experience in applied ML.
  • Experience at the tier 1 product company or related experience working within the product organization.

Benefits

  • Employee stock options.
  • Social Money (monthly budget equivalent to 75 USD gross that you can spend on benefits like medical insurance, gym, training, etc.).
  • 27 calendar days of vacation per year.

Reward

The strength of Flo is built on the capability of its talent. In recognition of this, they offer:

  • Top of the market salaries.
  • Career growth, progression and promotion opportunities.
  • Eligibility for annual salary increases.
  • Company equity grants through Flo’s employee share option plan (ESOP) eligible to all employees.

Flo is an international team of highly skilled top talent. They have ambitious and challenging objectives and are committed to granting their team the freedom to explore. Team`s core cultural values are based on engaging teamwork, continuous improvement, and smart transparency. Their mission fuels their everyday work, and they’re proud of the impact they’re making.

Diversity statement

The strength of their workforce is in the diverse backgrounds of their employees, and Flo is committed to applying its equal opportunities policy at all stages of recruitment and selection. This means recruitment and selection of talent into Flo Health companies is only based on individual merit and qualifications directly related to professional competence.

Shortlisting, interviewing, and selection will always be carried out without regard to gender identity or expression, sexual orientation, marital or civil partnership status, color, race, nationality, ethnic or national origins, religion or beliefs, ancestry, age, veteran status, mental or physical disability, medical condition, pregnancy or maternity status, trade union membership, or any other protected characteristics.

Александра Озоль-Воробьева IT Recruiter
FLO

О компании FLO

Сфера
Продуктовая компания
Инвестиции
$25-50М
Размер
101 - 1000

Flo - самое скачиваемое health-приложение в США и Европе в 2019г. В основе продукта алгоритмы искусственного интеллекта и фокус на безопасности данных.

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