Вакансии трт: работа в IT и digital

A stealth-mode AI-powered Cloud-Native Health-Tech company is looking for a DevOps Engineer.

The Business Domain revolves around providing Better Care for the US Patients; meaning, it’s about Treating Patients well. The company was founded more than five years ago.

It’s not vaporware, their platform supports US Physician Networks (IPAs) by enabling Smarter, Risk-Adjusted, and more Predictive Care that improves real patient outcomes.

Compensation and Benefits:

Paid Time Off

The company has Unlimited PTOs Policy and compensated New Years Holidays on top of that. The misuse of the policy isn’t welcomed, though it’s definitely possible to take at least two weeks – and fully compensated – vacation, or more.

Corporate Hardware

The company provides Corporate Hardware for employees who completed their Probationary Period, as well as proven their value.

Cloud-Native

There’s real ability to make most solutions in a Cloud-Native and Third-Party Integrations manner, rarely spinning something self-hosted (e.g., over GKE). Fully Serverless Approach, based on Cloud Functions and Cloud Run is definitely not welcomed.

Team Building

The company partially compensates Team Building events, when multiple teammates are located in nearby countries.

Responsibilities

The DevOps Engineer designs, builds, and operates the platform’s Google Cloud infrastructure as code (GKE, VPC networking, IAM, Cloud SQL, Cloud Spanner, Pub/Sub) using Terraform and GitOps, supports and evolves CI/CD pipelines (Cloud Build, GitHub Actions) for application deployments, and applies SRE practices to monitoring, security, and reliability, helping the team deliver a secure, scalable, highly available, and predictable service.

Your responsibilities will include:

• Design and operate GCP infrastructure (GKE, VPC, Cloud SQL, Cloud Spanner, Pub/Sub, Cloud Build).

• Implement and maintain Infrastructure as Code and GitOps workflows using Terraform.

• Support development and maintenance of CI/CD pipelines for application deployments (Cloud Build, GitHub Actions).

• Monitor infrastructure and drive continuous improvement of scalability, reliability, and security.

• Recommend process improvements and collaborate with development and operations teams to align goals and keep workflows efficient.

• Collaborate with development teams to integrate the latest technology advancements, ensuring scalability and agility.

Required experience:

• 3+ years of experience in DevOps, SRE, or Platform Engineering roles.

• 2+ years of hands-on experience with GCP: VPC networking, IAM, Compute Engine, GKE/Cloud Run, Cloud Storage, Cloud SQL/Spanner, Pub/Sub.

• Expertise with Terraform and infrastructure-as-code / GitOps practices.

• Strong understanding of cloud security principles, identity management, and network segmentation.

• Familiarity with monitoring/observability tools (Google Cloud Operations suite, Prometheus, Grafana).

• Good communication and collaboration skills; able to work with distributed teams.

• Understanding of HIPAA compliance and experience with Go or Python is a plus.

Benefits:

• Flexible working hours;

• Completely remote work;

• Interesting projects to work on;

• Exposure to a variety of industries and technologies;

• Unlimited PTO.

Команда экспертов, предоставляющая аналитические услуги для клиентов в сфере здравоохранения, ищет DevOps — специалиста, который будет отвечать за управление инфраструктурой как кодом. Эта роль включает в себя проектирование, внедрение и управление надежными, масштабируемыми и безопасными решениями. Идеальный кандидат имеет опыт работы с GCP, инфраструктурой как код (IaC) и практиками SRE.

Вы станете частью международной команды высококлассных профессионалов, объединённых стремлением создавать продукты, которые реально улучшают качество медицинских услуг.

Компания предлагает работу с разнообразными индустриями и технологиями, возможность профессионального роста, время на проектах для освоения новых навыков и команду выдающихся коллег — действительно одних из лучших в своём деле.

Наш стек:

• Google Cloud's Operations Suite

• GCP Cloud Build

• Prometheus, Grafana

• OLTP: Google Cloud Spanner

• Google Kubernetes Engine

• Terraform

• Go, Python, PHP

В качестве DevOps вы будете:

- Проектировать и эксплуатировать инфраструктуру GCP (GKE, Cloud Build, VPC, Cloud SQL, Pub/Sub, Spanner);

- Внедрять IaC и GitOps с помощью Terraform;

- Поддерживать разработку и сопровождение процессов CI/CD для развертывания приложений;

- Давать рекомендации по улучшению процессов для обеспечения масштабируемости и надежности системы;

- Заниматься мониторингом и постоянно улучшать инфраструктуру;

- Сотрудничать с командами разработки и эксплуатации для обеспечения согласованности целей и эффективных рабочих процессов;

- Сотрудничать с командами разработчиков для интеграции последних технологических достижений, обеспечивающих масштабируемость и гибкость.

Основные требования:

• 3+ года опыта работы в DevOps-инжиниринге;

• 2+ года опыта работы с GCP: VPC-сети, IAM, Compute Engine, GKE/Cloud Run, Cloud Storage, Cloud SQL/Spanner, Pub/Sub;

• Опыт использования Terraform;

• Знакомство с инструментами мониторинга/наблюдения (Cloud Monitoring, Prometheus, Grafana);

• Уверенное понимание принципов безопасности облачных сред, управления идентификацией и сегментации сети;

Будет плюсом:

• Опыт в сфере здравоохранения;

• Знание требований HIPAA Compliance;

• Опыт с Go, Python.

Условия:

• Гибкий график;

• Полностью удалённый формат работы;

• Интересные и значимые проекты;

• Возможность работы в международной команде.

A Stealth-mode AI-powered Cloud-Native Health-Tech is looking for a Middle+/Senior Software Engineer (Python).

The Business Domain revolves around providing Better Care for the US Patients; meaning, it’s about Treating Patients well. The company was founded more than five years ago. It’s not vaporware, their platform supports US Physician Networks (IPAs) by enabling Smarter, Risk-Adjusted, and more Predictive Care that improves real patient outcomes.

Compensation and Benefits:

Paid Time Off

The company has Unlimited PTOs Policy and compensated New Years Holidays on top of that. The misuse of the policy isn’t welcomed, though it’s definitely possible to take at least two weeks – and fully compensated – vacation, or more.

Corporate Hardware

The company provides Corporate Hardware for employees who completed their Probationary Period, as well as proven their value.

Location and timezone

We are focused on hiring in time zones overlapping with the US or Western Europe. Also considering additional locations where time zone overlap and payroll compliance can be reliably supported, including certain Eastern European and Middle Eastern countries (Bulgaria, UAE, etc.).

Target Stack:

• Necessary: Python (FastAPI, pytest); Cloud Spanner; Google Kubernetes Engine (GKE); Pub/Sub; Git (GitHub, GitFlow);

• As a plus: Google Cloud Platform (GCP); LLMs and GenAI; BigQuery; Cloud Composer (Airflow, DBT); Google Cloud Build; GSuite; Terraform; SonarSource; LucidChart.

NOTE: Similar Cloud-Native Experience is always an option.

NOTE: Knowledge of any OLTP Database (instead of Cloud Spanner) is always an option.

Overview of Future Responsibilities:

• Proactive Studying and desire to grow.

• Working Diligently and desire to bring value.

• Software & Agentic AI Engineering. Design, develop, and implement autonomous AI workflows, LLM integrations, and robust backend software solutions.

• Software Engineering (including writing Auto Tests) using Python; Future possibility to learn Go.

• Infrastructure Optimization. Continuously improve and optimize Data Infrastructure, ensuring high performance, scalability, and security by utilizing Cloud Composer, BigQuery, and other bits of the Modern Data Stack.

• Working in a TDD-like environment that implies driving Development from Tests. Both tests and code already support through and through breakpoints, while the Interpreter itself is fully containerized.

• Separation of Development and Operations.

• Learning Data Engineering and Data Analytics in the future.

Requred experience:

• 5+ years of hands-on experience working as a Software Engineer; preferably, with a focus on cloud-native backend development and building Agentic AI systems.

• Practical experience integrating LLMs, developing autonomous agents, and utilizing AI to solve complex business problems.

• Advanced Knowledge of Python for Software Development, AI integrations, and Automation.

• Strong grasp of OOP, including OOP Pitfalls and Patterns.

• Advanced Knowledge of SQL, including familiarity with Query Optimizations.

• 3-5+ years of hands-on Experience with OLTP Databases, where Cloud Spanner is always preferred.

Cloud & Infrastructure

• Experience with Google Cloud Platform (or similar cloud exp.)

• Familiarity with Cloud Composer (Airflow-based orchestration).

• Basic understanding of Docker.

• Experience working in a Unix-like development environment (macOS or Linux).

Fundamentals

• Deep knowledge of Mathematics, Statistics, Algorithms and Data Structures, etc, is always prioritized. Actually, Software Engineering — unlike Web Development — implies at least superficial knowledge of Algorithms and Data Structures.

• Ability to work in an Iterative Development workflow. This role involves evolving solutions through Incremental Delivery rather than a Waterfall-style approach.

• There are many other Experience Advantages a candidate may have, e.g., Kafka, Apache Beam (Dataflow) Streaming, Spark Streaming, Python’s asyncio, Terraform, etc.

Target Workflow

• Cloud-Native (GCP) is always prioritized higher than self-hosted, on-premise, or homemade over Virtual Machines solutions. There are exceptions, such as we’re keenly trying to avoid Fully Serverless (Cloud Functions or Cloud Run over Pub/Sub or GCS) solutions.

• The focus is on writing Pythonic Solutions and Style Guide-compliant SQL. SonarSource software is a ready-to-use helper. It’s definitely possible to write some bits in Go, where this PL is really applicable, though the default PL is Python.

• Lakehouse-first Data Engineering (BigQuery, Cloud Composer, DBT) and Decoupled Distributed Data Processing are always prioritized higher than running Imperative Solutions over GKE or than doing Coupled Massively Parallel Processing Compute.

• Imperative Code Solutions – including Classical Algorithms and Data Structures –, implemented over Dataflow or Spark are expected to come up only when the Lakehouse-first Approach isn’t applicable or is too costly.

Компания, занимающаяся разработкой облачных технологий для здравоохранения на базе искусственного интеллекта, ищет Middle+/Senior Python инженера для долгосрочного сотрудничества. Это не виртуальный продукт: их платформа поддерживает сети врачей (IPA), обеспечивая более интеллектуальное, адаптированное к рискам и прогнозируемое лечение, которое улучшает реальные результаты лечения пациентов.

Вы присоединитесь к международной команде первоклассных профессионалов, которые с энтузиазмом создают продукты, улучшающие качество медицинских услуг.

Требуемый опыт:

• 5+ лет практического опыта работы Software Engineer, желательно с фокусом на облачную backend-разработку и создание Agentic AI-систем.

• Практический опыт интеграции LLM (больших языковых моделей), разработки автономных агентов и применения ИИ для решения сложных бизнес-задач.

• Продвинутые знания Python для разработки ПО, AI-интеграций и автоматизации.

• Хорошее понимание ООП, включая типичные ошибки (pitfalls) и паттерны проектирования.

• Продвинутые знания SQL, включая оптимизацию запросов.

• 3–5+ лет практического опыта работы с OLTP-базами данных, при этом предпочтение отдаётся Cloud Spanner.