Описание: сервисы отдела ИБ, на базе Open-Source для обеспечения нужд ИБ отдела
Требования:
— умение работать с GitHub/Gitlab, Jfrog Artifactory, SonarQube, Jenkins/GitlabCI, ArgoCD, Helm, Hashicorp Vault, OpenTelemetry, Grafana, Grafana Tempo, Mimir, Prometheus, k8s, StackRox, PKI HashiCorp Vault
Задачи:
— участие в разработке стратегии и архитектуры комплексной DevOps-платформы с нуля, выбор оптимального стека технологий и инструментов
— внедрение практик Infrastructure as Code для обеспечения воспроизводимости и масштабируемости сред
— развертывание и администрирование контейнерных сред на базе Docker и Kubernetes
— настройка комплексных систем мониторинга, алертинга и сбора логов для обеспечения высокой наблюдаемости (Observability) системы
— разработка и реализация механизмов резервного копирования, восстановления после сбоев и обеспечения высокой доступности (HA)
— создание CI/CD пайпланов
— управление релизным процессом, проведение, сопровождение релизов
— актуализация технической документации
— управление инфраструктурой
— поддержание работоспособности инфраструктурных сервисов
— своевременное обновление сервисов и зависимостей
— своевременное устранение обнаруженных уязвимостей в исходном коде и подкотрольных сервисах
Условия:
— гражданство РФ, локация - Москва и рядом
— срок проекта - 31.12.2026, возможна пролонгация на следующий год
— возраст до 45 лет желательно
— ставка 2000 рублей с НДС, отсрочка 35 рабочих дней
— гибридный формат работы, 1 раз в неделю в офисе на Проспекте Лихачева
Location: Tel Aviv-Yafo, Gush Dan, Israel
About At-Bay
At-Bay combines world-class technology with industry-leading insurance to help businesses meet cyber risk head-on. We have grown into a top-10 U.S. cyber insurer, providing modern insurance products and active risk monitoring to companies of every size and in every industry.
We have hubs in Atlanta, New York City, San Francisco and Tel Aviv. We are committed to inclusive hiring and to a culture where people of all identities and backgrounds can thrive, grow their careers, and bring their full selves to work.
About the role
We're looking for a software engineer with a strong backend focus who wants to
own things end to end
.
You'll
join the Stance team
to design, build and run the services behind At-Bay Stance, our unified security platform, which is used by 10,000+ users at small and mid-sized businesses.
You'll own systems in production: shaping their architecture, shipping new capabilities into a live system, and keeping them healthy at scale.
Responsibilities
Own services end to end
: design, build, deploy and operate backend services, and be the go-to person for the ones you own.
Drive design and architecture
: write design docs, weigh trade-offs, and shape how our microservices, data and events fit together.
Ship into a live system
: introduce new capabilities and integrations into production safely, using feature flags, gradual rollouts and backward-compatible changes.
Write quality code
: well-tested, organized and robust code that supports a fast-growing organization.
Solve hard problems
: tackle complex engineering challenges on systems that are critical to the company.
Work in a modern environment
: continuously integrated and deployed code on cloud infrastructure.
Build for real users
: work on user-facing features where latency, correctness and a smooth experience matter.
Monitor and debug at scale
: own observability for your services (logs, metrics, traces, alerts) and trace issues across distributed, event-driven flows.
Take part in on-call
: respond quickly to production issues, find root causes, and fix them for good.
Work across the product
: work closely with product managers, designers, QA experts, architects and experienced developers, communicate openly across our international teams, and step into React code when a feature needs it.
Requirements
5+ years of hands-on backend engineering in Python (preferred).
Experience with event-driven architecture: SNS/SQS, Dapr, Kafka or similar.
Proven ownership of production systems: you've designed, shipped and operated services that real users depend on.
Strong system design and architecture skills: microservices, RESTful APIs, data modeling.
Experience building and running user-facing applications at scale.
Hands-on production monitoring and debugging: logs, metrics, distributed tracing, alerting (e.g. Grafana, Sentry, Datadog or similar).
Experience with relational databases such as MySQL or PostgreSQL, including query performance.
Experience with cloud production environments (AWS), Docker and Kubernetes.
A learning mindset: you pick up new tools, domains and codebases quickly, including frontend code when needed.
Excellent communication in Hebrew and English.
Nice to have
Frontend experience with React is a bonus.
Workflow orchestration (Orkes/Conductor, Temporal or similar).
Knowledge of cyber security or networking.
NoSQL databases such as Elasticsearch, DynamoDB or MongoDB.
Experience leading technical initiatives or mentoring other engineers.
What you'll get
Competitive salary in a hyper-growth company redefining commercial insurance.
A strong emphasis on work-life balance: Hybrid model, Wellness days, and more.
Beautiful offices in Azrieli Sarona, Tel Aviv, steps away from train and bus lines.
A collaborative, fun, and passionate team that loves solving tough problems together.
Location:
Azrieli Sarona, Tel Aviv, Israel (hybrid)
Learn more at
at-bay.com
Location: Singapore, Singapore
Workplace: Hybrid
ABOUT PAVE BANK
Pave Bank is the world’s first programmable business bank. Built by the founders behind Monzo and BigPay, we’re redefining global business banking by combining programmable financial infrastructure with world-class client experiences.
ABOUT THE ROLE
We are looking for a Head of Platform Engineering to own the development and operation of Pave Bank's platform infrastructure.
This is a hands-on technical leadership role. You will define the technical direction for platform engineering, remain deeply involved in the design and implementation of critical systems, and help shape the engineering practices and capabilities required as Pave scales.
The role is load-bearing, with direct responsibility for production systems, technical troubleshooting, and participation in the on-call rotation.
WHAT YOU'LL DO
- Own the technical direction and evolution of Pave's platform infrastructure.
- Design, build, and maintain reliable platform systems and services on GCP.
- Remain hands-on with software development, particularly in Go.
- Design and implement authentication systems using OAuth 2.0, including authentication flows and integrations in Go.
- Work with Temporal for workflow orchestration.
- Build and operate production workloads on Kubernetes.
- Design and manage cloud networking infrastructure, including VPC, Cloud IPsec, and KMS.
- Work with Cloud SQL and PostgreSQL, including the design and operation of production database systems.
- Own and improve platform CI/CD and infrastructure-as-code practices.
- Establish and maintain appropriate observability, monitoring, and alerting across platform systems.
- Act as a technical lead for complex platform and infrastructure problems.
- Take ownership of production issues and participate in the on-call rotation.
- Work closely with other engineering teams to build platform capabilities that support their technical requirements.
- Make practical architectural decisions and drive projects from design through implementation and operation.
- Help establish the engineering standards, practices, and technical foundations for the platform as the function grows.
- Mentor and support engineers working on platform and infrastructure as the team develops.
WHAT WE'RE LOOKING FOR
TECHNICAL
- Strong experience in platform, infrastructure, or backend engineering, with significant hands-on experience.
- Strong experience with Go and the ability to build production services.
- Hands-on experience with Temporal.
- Strong understanding of OAuth 2.0, with the ability to implement authentication flows in Go.
- Strong hands-on experience with Kubernetes and production workloads.
- Strong experience with GCP and cloud infrastructure.
- Experience with cloud networking, including:
- VPC
- Cloud IPsec
- KMS
- Strong experience with Cloud SQL and PostgreSQL.
- Experience with infrastructure-as-code and CI/CD.
- Experience building and maintaining observability, monitoring, and alerting for production systems.
- Strong experience operating and troubleshooting production systems.
LEADERSHIP & OWNERSHIP
- Experience as a technical lead or engineering leader, with the ability to provide technical direction and make architectural decisions.
- Comfortable remaining hands-on rather than being purely a people manager.
- Strong ownership of production systems and technical outcomes.
- Comfortable participating in on-call and handling production incidents.
- Able to make sound technical and architectural decisions and communicate them clearly.
- Comfortable working in a fast-moving environment where you may need to solve problems directly.
- Able to mentor engineers and help establish strong engineering practices as the function grows.
NICE TO HAVE
- Experience working in fintech, banking, payments, or other financial technology environments.
- Experience working with systems where security, reliability, and availability are critical.
- Experience working in a highly regulated or security-conscious environment.
Задачи:
— Развивать и поддерживать инфраструктуру DWH
— Строить и развивать CI/CD-процессы для data и ML-разработки
— Разрабатывать и поддерживать пайплайны обработки данных и оркестрации (Airflow)
— Реализовывать end-to-end ML-пайплайны: от сбора данных до деплоя и мониторинга моделей
— Проектировать и развивать MLOps-платформу (выбор и интеграция инструментов)
— Разворачивать и поддерживать инфраструктуру для ML-задач: (JupyterHub + GPU, Airflow, ClickHouse, PostgreSQL, S3 и др.)
— Взаимодействовать с ML- и Data-инженерами для вывода решений в production
— Настраивать мониторинг и алёртинг: качество данных, стабильность пайплайнов, ресурсы
— Автоматизировать рутину и развивать self-service инструменты для data-команды
Требования:
— Уверенный опыт с Docker и Kubernetes
— Опыт работы с Airflow (или аналогами оркестрации)
— Практика построения CI/CD для data/ML пайплайнов
— Хорошие знания Python, SQL и Git
— Опыт развёртывания ML-инфраструктуры (GPU-кластеры, хранилища, orchestration)
— Опыт работы с облачными платформами
— Понимание принципов CI/CD и автоматизации деплоя
— Опыт работы с API и понимание highload-систем
— Опыт работы со стримингом данных (Kafka / аналоги)
— Практика настройки мониторинга и логирования
— Уверенная работа в Linux
— Будет плюсом: Опыт внедрения систем управления экспериментами (MLflow, ClearML)
Locations: Spain, Bulgaria, or Portugal (relocation assistance may be provided).
Employment: Full-Time.
About the Company/Product: A global B2B product company developing a powerful Integration Platform as a Service (iPaaS) that uses AI and machine learning to enable organizations to seamlessly connect data sources, cloud applications, and enterprise systems through low-code/no-code automation. The platform is trusted by more than 400,000 customers worldwide, including leading companies such as Visa, Goldman Sachs, Cisco, Amazon, HubSpot, and L’Oréal. The engineering culture emphasizes technical excellence, strong ownership, and close collaboration across globally distributed, remote-first teams.
What You’ll Do:
— Keep the Aurora PostgreSQL fleet healthy across all data centers: building indexes on large and partitioned tables without downtime, analyzing plans, and moving data.
— Handle Aurora configuration (parameters, replicas, failover, capacity) and cost work: rightsizing, merging low-activity databases, and evaluating serverless.
— Take ownership of the PgBouncer layer, which currently needs an owner and a roadmap.
— Review schemas and data models with product teams, advising on partitioning, retention, and shared vs. dedicated clusters, backing recommendations with data.
— Work on the performance of the main application and the search queries behind AI features, including research toward a 10,000 jobs/second target.
— Package the team's existing zero-downtime upgrade and switchover procedures into versioned, released automation, along with provisioning of databases and users, grants, and schema sync across data centers (Terraform, Ansible, GitOps).
— Develop and deploy tooling for monitoring and managing the PostgreSQL fleet in Kubernetes, including monitoring and alerting (exporters, VictoriaMetrics).
— Handle database incidents end-to-end, including root-cause analysis and follow-up fixes, and participate in resilience projects such as a cross-region DR pilot, application reconnect after failover, and CDC pipelines that survive upgrades and failovers.
— Contribute to time-boxed evaluations of new database technologies that end with a decision on adoption.
— Participate in the on-call rotation, with off-rotation time dedicated to uninterrupted project work.
What You Have:
— 5+ years of experience operating PostgreSQL in production (DBA, DBRE, or SRE with a database focus) on databases under real load.
— Deep experience with database schemas: design, debugging, and troubleshooting performance issues in production.
— SQL proficiency, query plans, indexing strategy, and performance work on multi-TB tables.
— Expertise in the PostgreSQL ecosystem: streaming and logical replication, HA and failover setups (Patroni or equivalent), connection poolers (PgBouncer), major-version upgrades and migrations with minimal downtime.
— Linux fundamentals: processes and memory, OOM behavior, networking basics.
— Scripting skills (Bash, Python, or Go) and an automation-first attitude.
— Readiness to work actively with Kubernetes.
— Strong root cause analysis and incident management skills.
— Good level of English — at least Upper-intermediate (B2).
Nice-to-Haves:
— Experience with Infrastructure as Code (Terraform) and cloud infrastructure (AWS, ideally hands-on Aurora or RDS).
— Experience with different storage systems: ClickHouse, OpenSearch, Elasticsearch, Redis, Valkey, MemoryDB, Neo4j.
— Exposure to Kubernetes basics, GitOps, ArgoCD, or Vault.
— Contributions to open-source database or infrastructure projects.
— Openness to using AI assistants in daily work.
What We Offer:
— Real scale: every database behind a global automation platform, processing billions of events daily.
— Influence on the stack: your analysis in technology reviews shapes which databases the company adopts.
— Top-tier engineering team.
— Competitive base salary + stock options.
— Fully remote work with flexible hours from Spain, Bulgaria, or Portugal.
— Possible assistance with relocation to Spain or Bulgaria (visa support & relocation package).
— Full-time employment with benefits.
— Health and life insurance.
— Flexible vacation policy and paid sick leave.
— Company-provided equipment.
— Company-sponsored team-bonding activities.
— Other competitive benefits depending on location (e.g., wellness programs, education budget, referral bonuses, etc.).
Locations: Spain, Bulgaria, or Portugal (relocation assistance may be provided).
Employment: Full-Time.
About the Company/Product: A global B2B product company developing a powerful Integration Platform as a Service (iPaaS) that uses AI and machine learning to enable organizations to seamlessly connect data sources, cloud applications, and enterprise systems through low-code/no-code automation. The platform is trusted by more than 400,000 customers worldwide, including leading companies such as Visa, Goldman Sachs, Cisco, Amazon, HubSpot, and L’Oréal. The engineering culture emphasizes technical excellence, strong ownership, and close collaboration across globally distributed, remote-first teams.
What You’ll Do:
— Keep the Aurora PostgreSQL fleet healthy across all data centers: building indexes on large and partitioned tables without downtime, analyzing plans, and moving data.
— Handle Aurora configuration (parameters, replicas, failover, capacity) and cost work: rightsizing, merging low-activity databases, and evaluating serverless.
— Take ownership of the PgBouncer layer, which currently needs an owner and a roadmap.
— Review schemas and data models with product teams, advising on partitioning, retention, and shared vs. dedicated clusters, backing recommendations with data.
— Work on the performance of the main application and the search queries behind AI features, including research toward a 10,000 jobs/second target.
— Package the team's existing zero-downtime upgrade and switchover procedures into versioned, released automation, along with provisioning of databases and users, grants, and schema sync across data centers (Terraform, Ansible, GitOps).
— Develop and deploy tooling for monitoring and managing the PostgreSQL fleet in Kubernetes, including monitoring and alerting (exporters, VictoriaMetrics).
— Handle database incidents end-to-end, including root-cause analysis and follow-up fixes, and participate in resilience projects such as a cross-region DR pilot, application reconnect after failover, and CDC pipelines that survive upgrades and failovers.
— Contribute to time-boxed evaluations of new database technologies that end with a decision on adoption.
— Participate in the on-call rotation, with off-rotation time dedicated to uninterrupted project work.
What You Have:
— 5+ years of experience operating PostgreSQL in production (DBA, DBRE, or SRE with a database focus) on databases under real load.
— Deep experience with database schemas: design, debugging, and troubleshooting performance issues in production.
— SQL proficiency, query plans, indexing strategy, and performance work on multi-TB tables.
— Expertise in the PostgreSQL ecosystem: streaming and logical replication, HA and failover setups (Patroni or equivalent), connection poolers (PgBouncer), major-version upgrades and migrations with minimal downtime.
— Linux fundamentals: processes and memory, OOM behavior, networking basics.
— Scripting skills (Bash, Python, or Go) and an automation-first attitude.
— Readiness to work actively with Kubernetes.
— Strong root cause analysis and incident management skills.
— Good level of English — at least Upper-intermediate (B2).
Nice-to-Haves:
— Experience with Infrastructure as Code (Terraform) and cloud infrastructure (AWS, ideally hands-on Aurora or RDS).
— Experience with different storage systems: ClickHouse, OpenSearch, Elasticsearch, Redis, Valkey, MemoryDB, Neo4j.
— Exposure to Kubernetes basics, GitOps, ArgoCD, or Vault.
— Contributions to open-source database or infrastructure projects.
— Openness to using AI assistants in daily work.
What We Offer:
— Real scale: every database behind a global automation platform, processing billions of events daily.
— Influence on the stack: your analysis in technology reviews shapes which databases the company adopts.
— Top-tier engineering team.
— Competitive base salary + stock options.
— Fully remote work with flexible hours from Spain, Bulgaria, or Portugal.
— Possible assistance with relocation to Spain or Bulgaria (visa support & relocation package).
— Full-time employment with benefits.
— Health and life insurance.
— Flexible vacation policy and paid sick leave.
— Company-provided equipment.
— Company-sponsored team-bonding activities.
— Other competitive benefits depending on location (e.g., wellness programs, education budget, referral bonuses, etc.).
Задачи:
— Работа в роли бэкенд на .Net core более 3 лет
Требования:
— C# 10+ версии
— Опыт интеграции с системами Solar, Lekton, AnyWay, EQ от 2х лет
— Знание архитектур MSA, SOA и опыт работы с ними, отличия
— Знание платформы и опыт работы с .Net6 (+3.1), ASP.Net MVC
— Опыт работы с любым одним инструментом из списка: Kubernetes, Serverless, Open Source model
— Знание и опыт работы с Entity Framework Core or Dapper or link2db, Redis, Rabbit or Kafka, Docker
— Знание протоколов HTTP, HTTPS, SSL, REST, SOAP, AMQP
— Знание паттернов проектирования
— Асинхронность и многопоточность
— Знание принципов ООП и ФП
— Уверенное понимание SQL, индексы БД, профилирование запросов, умение работать с Display estimated execution plan или аналогами
— Владение всеми современными структурами и алгоритмами поиска и сортировки
— Понимание принципов оптимизации, профилирования
— Знание основ безопасной разработки
— Опыт участия в процессе проведения код-ревью к роли проверяющего
— Работа с системой контроля версий Git
— Понимание концепции unit-тестирования и владение инструментами тестирования
— Самостоятельный анализ необходимости покрытия проекта unit-тестами и их реализация
— Опыт работы по гибким методологиям Agile: Scrum, Kanban
— Знание стадий жизненного цикла ПО
— Работа с требованиями: документирование, процесс управления, декомпозиция, тестирование
Будет плюсом:
— Понимание Kubernetes и идеологии DevOps, SRE
— Понимание принципов построения Cloud Native приложений
— Понимание принципов работы с Open Source проектами
— Опыт работы с GRPC, BPMN
Location: Home Based - Americas; Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, as well as industry leaders across many sectors.
Canonical is a pioneer of global distributed collaboration, with 1,200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring an
Engineering Manager for Distributed Systems Testing
to lead a team responsible for the quality engineering platform that enables deployment and validation of distributed systems across Canonical's cloud portfolio.
We see quality engineering as a first-class engineering practice. Our Distributed Systems Testing team ensures the performance, correctness, resilience and interoperability of Canonical cloud solutions built with technologies such as Juju, Terraform, OpenStack and Kubernetes. These systems are deployed and tested across diverse environments, from bare-metal to the public cloud.
As Engineering Manager, you will combine strong software engineering judgement with people leadership. You will develop engineering talent, establish effective engineering practices, shape technical direction with senior engineers, and ensure the team delivers high-quality testing infrastructure and automation that enables engineering teams across Canonical to ship software with confidence.
We believe engineering managers should be outstanding engineers themselves. You should be comfortable reviewing patches, evaluating software design, debugging a distributed system, or discussing test architecture. You will contribute technically where appropriate to set a high standard, while recognizing that your greatest impact comes from shaping the direction, focus, effectiveness, and growth of the whole team.
You will work closely with senior engineers and engineering leaders across Canonical to define priorities, improve testing capabilities, and advance how we validate increasingly complex cloud-native and distributed systems.
Location:
This is a globally remote role, typically leading a team concentrated within a major time zone such as EMEA or the Americas.
What you'll do
Lead, coach, and develop a high-performing team of software and quality engineers, ranging from graduate to senior level
Set clear expectations, strengthen engineering practices, and ensure timely delivery against agreed goals
Partner with senior engineers to shape technical strategy, architecture, roadmap, and engineering standards
Guide the development of automated testing infrastructure for the reliability, interoperability, and resilience of distributed systems
Improve CI pipelines, testing tools, and reporting used to validate Canonical's products and solutions across bare-metal, private and public cloud environments
Enable engineering teams across Canonical to adopt effective distributed-systems testing practices and tooling
Contribute technical leadership through design and code reviews, debugging, and hands-on engineering where appropriate
Represent the team with stakeholders and collaborate across Canonical on quality engineering, infrastructure, and developer experience
What we're looking for in you
An exceptional academic track record from both high school and university
Experience in leading, coaching, and mentoring software engineers
Professional software engineering experience with Python or Go
Expertise in distributed systems, cloud infrastructure, quality engineering, or a closely related domain
Strong knowledge of modern software testing processes, strategies, and automation
Experience with Linux (Debian or Ubuntu preferred)
Strong technical judgement and the ability to engage meaningfully in code reviews, architecture discussions, and software design
Experience working in an agile development environment with the ability to organize a team to deliver high-quality results
Professional written and spoken English with excellent communication and presentation skills
Great interpersonal skills, curiosity, flexibility, and accountability, demonstrating passion, thoughtfulness, and self-motivation
Ability to travel twice a year, for company events up to two weeks each
Additional skills we value
Experience with any of the following:
Cloud technologies such as Kubernetes, OpenStack, Juju, Terraform, AWS, Google Cloud, or Azure
Designing testing strategies for distributed or cloud-native systems
Building or operating large-scale CI/CD and test infrastructure
Applying AI or machine learning to test analysis, failure classification, or engineering workflows
Deploying, operating, or debugging distributed systems
Leading globally distributed teams
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually, and more often for graduates and associates, to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus.
We provide all team members with additional benefits that reflect our values and ideals. We balance our programmes to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme and wellness support
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and a leading platform for AI, IoT, and the cloud, we are changing the world of software.
We recruit globally and set a very high standard for people joining the company. We expect excellence; to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Requisition ID: 1361
Задачи:
— Разработка CV-моделей для автоматизации складских процессов: детекция, классификация, трекинг, сегментация.
— Проектирование inference-пайплайнов, включая real-time, и ML-сервисов на Python в микросервисной архитектуре.
Требования:
— Уверенный Python и опыт промышленной разработки.
— Практический опыт в CV/ML.
— Крепкая алгоритмическая база.
— Плюсом: GPU (CUDA, TensorRT), Docker, Kubernetes, MLOps, C++, технический английский.
Задачи:
— Перенос функционала из сервиса WTIS в сервис DROP, включая ручное планирование курьеров, переезд склада, управление линиями доставки и заказами.
Требования:
— Общий опыт работы от 6 лет в backend-разработке, включая коммерческую разработку высоконагруженных сервисов и интеграций.
— Опыт работы с Golang от 3 лет.
— Опыт работы с PHP от 1 года для изучения легаси.
— Опыт работы с PostgreSQL от 3 лет.
— Опыт разработки REST API от 3 лет.
— Опыт разработки асинхронных worker-процессов от 2 лет.
— Опыт интеграции с S3-совместимыми хранилищами от 1 года.
— Опыт работы с Docker и Kubernetes от 2 лет.
— Опыт мониторинга и логирования от 2 лет.
— Опыт работы с Jira, Confluence и GitLab от 1 года.
— Желателен опыт в e-commerce, ERP, курьерской доставке или логистике.
— Релевантный опыт: не менее трех завершенных коммерческих проектов уровня Enterprise.
— Обязателен опыт разработки микросервисной архитектуры, API-контрактов, фоновой обработки задач, интеграции с внешними и legacy-системами, работы с отказами, retry-механизмами, circuit breaker и идемпотентностью.
— Желателен опыт миграции функциональности из монолитной ERP/legacy-системы в отдельный микросервис.
— Отраслевой опыт: e-commerce, курьерская доставка, логистика, ERP-системы или внутренние корпоративные платформы уровня Enterprise.
— Обязательные технологии и инструменты: Golang, PHP, REST API, PostgreSQL, JSON/JSONB, S3-совместимое хранилище, Docker, Kubernetes, GitLab, Jira, Confluence, GoLand/JetBrains IDE, инструменты логирования и трассировки.
— Желательные технологии и инструменты: Grafana, Prometheus, OpenTelemetry, Kafka или RabbitMQ, Redis, MinIO, Swagger/OpenAPI, feature toggle, CI/CD в GitLab, PlantUML/C4, опыт построения сервисов с асинхронной обработкой и поллингом статусов.
Условия:
— Проектная занятость, долгосрочный проект, фултайм.
— Удаленная работа по России.
— Оформление по договору ГПХ или через ИП.
— Вилка оплаты до 1900 рублей в час гросс.
Важно:
— Не рассматриваются кандидаты с опытом работы в проектах Лемана, Петрович Тех, ВБ, Озон, Лента Тех, Яндекс маркет, М.
Location: Boston, Massachusetts; Foster City, California; Marlton, New Jersey; Remote, United States
Do you care about keeping developer tools running reliably, enjoy digging into the systems and infrastructure behind them, and know that reliable tools make all the difference for development teams? If you are calm under pressure, enjoy diagnosing complex systems, want to help developers overcome technical hurdles, and thrive on deep problem-solving across diverse tech stacks, this role is for you.
About JetBrains
We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.
About TeamCity
TeamCity is a highly scalable CI/CD server that integrates across the modern software ecosystem. Because it supports complex server-side setups and SaaS deployments, issues can stem from the product itself or the surrounding infrastructure.
What you’ll do
As part of our Support Engineering team, you will act as a crucial link between global engineering teams and our internal product developers. You will take ownership of incoming technical issues, pinpoint root causes, and provide working resolutions or clear escalations. You'll work American-timezone hours to give our global community timely, effective support.
Day to day, you will:
Identify whether an issue stems from the product, infrastructure, or third-party integrations.
Provide workarounds, submit bug reports, or escalate issues directly to development.
Capture insights and publish solutions following KCS (Knowledge-Centered Service) principles.
Share user feedback with internal product teams to shape future tool improvements.
What you’ll bring
A systematic and structured, but flexible approach to troubleshooting complex software and infrastructure issues.
A clear, direct communication style that explains technical details in ways others can understand.
Comfort working independently across distributed teams and time zones.
Curiosity about how different build systems, VCS providers, and clouds operate together.
An inclination to leave documentation and systems better than you found them.
What you’ll need
Fluency in English, with strong written communication skills.
The ability to work aligned with American time zones.
Practical experience troubleshooting web servers and applications (such as Tomcat and Java-based environments).
A working knowledge of relational databases (such as PostgreSQL, MySQL, or MSSQL).
Hands-on experience with version control tools and hosting platforms (such as Git or Perforce, GitHub, GitLab, or Bitbucket).
Familiarity with build automation tools (such as Gradle, Maven, or .NET build systems).
An understanding of containerized environments or cloud infrastructure (such as Docker, Kubernetes, AWS, or Azure).
What success looks like
Success in this role means resolving complex support cases efficiently while maintaining clear communication with developers. You build trust by accurately diagnosing underlying infrastructure or application bugs rather than addressing symptoms alone. Over time, your contributions to the knowledge base reduce repeat issues, and your feedback helps product teams make TeamCity more resilient.
#LI-DNI
This range reflects the employer’s good-faith estimate of the base salary it reasonably expects to pay for the position at the time of posting. Starting pay within the range will be determined based on job-related factors such as skills, qualifications, experience, and work location.
The base salary range (per year) for this position in the posted work location(s) is
$144,000
—
$216,000 USD
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: Malaga
Are you an experienced DevOps Engineer looking for your next career opportunity? The Gaming Area within Product Development is now hiring! The Gaming Area at Betsson Group focuses on Game Play and Game Discovery across all our brands and markets. We aim to offer the best gaming products in the industry and an exciting user experience when playing on our sites. We cover game lobbies, gaming initiatives, provider integrations and more.
THE WOW
Our Gaming platform is the core of everything we do. It supports all our gaming sites and is central to the company strategy.
You will be part of preparing our journey to containerization, improved delivery via cloud deployment, increasing the scalability of our systems while also maintaining their high quality. To accommodate new requirements, we are constantly re-evaluating our systems design and working on exciting new features. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 25+ online brands! Our brands are used by hundreds of thousands of users and growing
To sum it up: you will be taking our Gaming platform, which is used by a worldwide audience, to a new level!
A taster of what you will be involved with:
Working with cutting edge technology enabling our Cloud Journey
The DevOps Engineer for our Gaming Department will be responsible for supporting development teams (both Backend and Frontent focused), and will be instrumental in enhancing CI/CD pipelines, improving monitoring and observability, and supporting & mantaining other custom infra solutions.
Take ownership of CI/CD pipelines, guiding developers to improve automation, reliability, and test coverage. Lead the migration from Octopus to GitHub Actions and foster a culture of developer-led deployment
Design and evolve monitoring systems with Prometheus/Grafana (or future alternatives), integrating observability into CI/CD workflows. Ensure robust tracing, logging, and metrics correlation across services.
Support and extend custom-built infrastructure components to handle increased traffic and complex routing. Collaborate with frontend and backend teams to ensure performance, scalability, and security.
Work closely with all Gaming teams and DevOps engineers focused on infrastrucutre and operations. Provide tooling and guidance to developers across environments.
What we're looking for:
Experience with GitHub Actions and Octopus; strong focus on deployment automation, speed, reliability, and test coverage. Ability to guide developers and foster ownership of CI/CD workflows.
Proficiency with Prometheus/Grafana; capable of building dashboards, improving alerting, and integrating monitoring into CI/CD. Understanding of observability practices including tracing, logging, and metrics correlation.
Experience with custom-built NGINX setups; able to extend routing rules to support increased traffic and complex routing needs.
Strong knowledge of AWS (EC2, ALB, VPC, EKS); experience managing infrastructure using Terraform and modules.
Proven experience setting up and managing Kubernetes clusters, ideally with AWS EKS and Rancher RKE.
Ability to write scripts in Python, Bash, PowerShell or similar for automation and tooling.
Proficient in Git and versioned source control practices.
Support build and deployment processes for both backend (.NET) and frontend (JavaScript/TypeScript, StencilJS) applications, ensuring smooth CI/CD integration and performance monitoring
Strong cross-functional collaboration skills; able to work with Gaming teams and Infra/Ops DevOps engineers.
Solid understanding of DevOps culture and ITIL best practices. Problem-solving mindset with ability to resolve complex technical issues efficiently.
Excellent problem-solving skills, with the ability to analyze complex technical issues and provide effective solutions in a timely manner.
Act as a technical enabler for development teams, providing tooling, guidance, and support across environments. Champion DevOps best practices and empower teams to take ownership of their delivery pipelines
Who We Are
Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta. Malaga is our newest tech hub where we are building one of the leading software engineering teams in Spain.
We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands.
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers!
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with over 1,000 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
25 working days of paid vacation.
Private health and life insurance.
Flexible compensation package for transport, meals, and more!
Hybrid work policy for the best of office and home.
Up to 10 days per year working remotely from abroad.
€300 yearly wellness allowance.
Office perks to make your day easier.
Referral program with a bonus for successful hires.
Intensive summer schedule in August for extra flexibility and work-life balance.
In addition to all of this, you will be part of the multi-cultural Betsson community enjoying team-building events, our Friday bars, our social clubs, parties and other events. There is always something fun to look forward to!
Challenge accepted?
Check out the
Betsson Group Blog
to find out what our employees are talking about
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Задачи:
– Поддерживать, масштабировать и повышать безопасность локальных кластеров Kubernetes (на собственном сервере, а не в управляемом облаке) для обеспечения высокой доступности и аварийного восстановления.
– Разрабатывать, внедрять и управлять инфраструктурой как кодом (IaC) для локальных сред с использованием Ansible и других инструментов автоматизации.
– Создавать, оптимизировать и мониторить конвейеры Azure DevOps для CI/CD контейнеризированных приложений и изменений инфраструктуры.
– Поддерживать и расширять компоненты инфраструктуры на базе Azure, интегрированные с локальными рабочими нагрузками.
– Внедрять и поддерживать стек средств мониторинга: Prometheus, Grafana, Kafka (для потоковой передачи логов/метрик) и мониторинг баз данных (PostgreSQL, MongoDB).
– Упаковывать и развёртывать приложения с использованием Helm, обеспечивающие стандартизированные и воспроизводимые релизы.
– Разрабатывать и поддерживать скрипты на Bash и Python для автоматизации, устранения неполадок и создания инструментов.
– Взаимодействовать с командами разработчиков, специалистов по безопасности и эксплуатации для обеспечения надежности, соответствия нормативным требованиям и производительности платформы.
– Документировать архитектуру, процессы и руководства по эксплуатации для обмена знаниями.
Требования:
– Более 5 лет практического опыта работы в качестве DevOps-инженера в корпоративных средах.
– Подтвержденный опыт развертывания и управления Kubernetes в локальной среде (кроме AKS/EKS/GKE).
– Уверенное владение Ansible для управления конфигурациями и автоматизации.
– Обширный опыт работы с Azure DevOps для проектирования и сопровождения конвейеров CI/CD.
– Уверенный опыт работы с Helm для упаковки приложений в Kubernetes.
– Практический опыт работы с Prometheus, Grafana и Kafka для мониторинга и потоковой передачи событий.
– Опыт управления и мониторинга баз данных PostgreSQL и MongoDB в производственной среде.
– Уверенное владение языками программирования Bash и Python для автоматизации и разработки инструментов.
– Уровень владения английским языком: B2 или выше — умение четко общаться с международными командами и заинтересованными сторонами.
– Продемонстрированная способность к сотрудничеству в команде и с клиентом.
Agvend — B2B SaaS-платформа для агросектора Северной Америки, с 8-летним опытом на рынке, охватывающая около 30% рынка ag-retail в США и Канаде, команда около 150 человек, из которых около 100 в R&D, полностью удалённая работа с офисами в Канаде, США и на Кипре для желающих.
Стек технологий:
Python, Django, DRF, Postgres, ClickHouse, AWS на бэкенде.
TypeScript и React на фронтенде.
Модульный монолит с тремя крупными приложениями и микросервисами-сателлитами.
5 продакшн Kubernetes кластеров, около 150 тенантов, примерно 5 тысяч запросов в минуту.
Используются CircleCI, Docker/ECR, Helm, Terraform, blue-green деплой.
Задачи:
— Полноценная fullstack разработка: фичи от API до UI без разделения на бэкенд и фронтенд.
— Владение зоной ответственности: архитектура, code review, ответственность за продакшн.
— Работа с реальной нагрузкой: Postgres и ClickHouse, мульти-тенант, миллионы записей.
Требования:
— Senior уровень, 5+ лет коммерческой fullstack разработки.
— Продвинутый опыт одновременно на backend и frontend: Python/Django/DRF и React/TypeScript, не просто бэкендер с фронтом "для галочки" или фронтендер с базовыми знаниями Django.
— Уверенные навыки Python и Django/DRF, опыт работы с Postgres под нагрузкой.
— React и TypeScript на продуктовом уровне, минимум 2 года.
— Самостоятельность, ведение зоны без микроменеджмента, прямая работа с PM.
— Русский язык — основной рабочий, английский — рабочий уровень.
Будет плюсом:
— Опыт с ClickHouse и аналитическими базами данных.
— Опыт работы с highload и финтех системами.
— Знания Kubernetes, Helm, Terraform, CircleCI на уровне умения чинить пайплайны.
— Опыт с очередями и распределёнными системами (Kafka, RabbitMQ), понимание идемпотентности.
Условия:
— Работа в команде только сеньоров, плоская структура (Engineering Manager + senior IC, без техлидов).
— Безлимитные отпуска, мягкий менеджмент, отсутствие фиксированных часов, асинхронная коммуникация.
— Оффсайты два раза в год (Кипр, Грузия/Армения).
— Бюджет на обучение, конференции, технику.
— Очень низкая текучесть, многие работают по 5–6 лет.
— Коммуникация внутри команды на русском языке.
Задачи:
— техническое руководство backend-командой;
— hands-on разработка, архитектура и code review;
— полная ответственность за работу backend-систем в production;
— развитие архитектуры с учетом highload, масштабируемости и отказоустойчивости;
— участие в развитии VPN / ZTNA / network security составляющей продукта;
— расследование production-инцидентов и root cause analysis;
— оптимизация backend-сервисов и баз данных;
— развитие monitoring, logging и observability;
— развитие инженерных процессов, mentoring и onboarding;
— участие в найме и технической оценке разработчиков;
— прямое взаимодействие с бизнесом и фаундерами;
— внедрение AI-инструментов в процессы разработки;
— запуск новых сервисов и технических инициатив с нуля.
Требования:
— 6+ лет коммерческого опыта в backend-разработке;
— 2+ года опыта Lead / Tech Lead / Team Lead;
— опыт управления и развития backend-команды;
— сильный hands-on background и готовность продолжать писать код в формате 50/50 development & leadership;
— опыт с highload production-системами;
— реальный production ownership: серверы, БД, логи, метрики, мониторинг, troubleshooting;
— опыт самостоятельного расследования и решения критических production-инцидентов;
— проектирование масштабируемых и отказоустойчивых backend-систем;
— опыт микросервисной архитектуры;
— уверенная работа с SQL-БД, оптимизацией запросов, индексов и производительности;
— хорошее понимание networking и network security;
— практический опыт с VPN / ZTNA / network security или разработкой продуктов со значимой сетевой составляющей;
— понимание принципов работы VPN-протоколов и сетевого взаимодействия;
— опыт с logging, monitoring и observability;
— code review, mentoring, декомпозиция и оценка задач;
— способность самостоятельно принимать технические решения и взаимодействовать с бизнесом;
— готовность активно использовать AI-инструменты;
— высокая автономность и готовность работать в динамичной startup-среде;
— готовность работать с Hubstaff.
Будет плюсом:
— Go, Python или Java;
— сильный networking background;
— Kubernetes;
— Kafka, RabbitMQ или другие message brokers;
— Prometheus, Grafana, Datadog;
— миграция монолита в микросервисную архитектуру;
— опыт продуктов с миллионами пользователей / большим объемом трафика;
— e-commerce, marketplace или affiliate-продукты;
— опыт одновременно в Big Tech и стартапах;
— Claude Code, Cursor, GitHub Copilot или другие AI-инструменты.
Условия:
— удаленная работа с возможным переходом на гибрид в Москве в будущем;
— B2B-контракт;
— международный продукт с многомиллионной аудиторией;
— возможность напрямую влиять на архитектуру и техническое развитие продукта;
— сильная инженерная команда и прямое взаимодействие с фаундерами;
— минимум бюрократии и высокий уровень самостоятельности;
— динамичная продуктовая среда и сложные технические задачи;
— корпоративный ноутбук после прохождения испытательного срока;
— доступ к современным AI-инструментам и выделенные токены для создания собственных AI-агентов.
Компания Lagrange Labs ищет Middle DevOps Engineer для удалённой работы на полный рабочий день с зарплатой от 4500 до 6000 USD. В задачи входит управление и масштабирование облачной инфраструктуры на AWS и GCP для поддержки ZK-инфраструктуры, настройка и сопровождение CI/CD процессов с использованием GitHub Actions и GitLab CI, контейнеризация приложений и администрирование Kubernetes кластеров (EKS, GKE). Также потребуется организовать мониторинг с помощью Prometheus и Grafana, а также системы логирования ELK или Loki. Работа с инфраструктурой как кодом предполагает использование Terraform или Pulumi, обеспечение безопасности сетевых взаимодействий и управление секретами через HashiCorp Vault. Важной частью будет поддержка блокчейн-нод различных сетей, включая Ethereum и решения второго уровня. Кандидат должен иметь опыт работы в DevOps от 2-3 лет, уверенные знания Linux, навыки скриптинга на Bash и Python, опыт работы с Docker, Kubernetes (Helm, ArgoCD), а также практический опыт с Terraform и облачными провайдерами, предпочтительно AWS. Знание принципов SRE и знакомство с Web3-инфраструктурой, включая RPC и работу нод, будут дополнительным преимуществом.
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
ABOUT THIS ROLE
We are looking for a Senior Data Engineer to join our Data Team and help build reliable, scalable data systems that support analytics, data science, and critical business use cases across Strava.
In this role, you will design and operate data pipelines, build high-quality domain data models, improve our dbt and data transformation workflows, and help ensure data is accurate, well-governed, and easy to use. You will also contribute to areas such as data ingestion, data quality, privacy and GDPR workflows, and the ongoing evolution of our data warehouse and data lake.
We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office — three days per week.
WHAT YOU’LL DO:
- Design, build, and operate foundational data systems and shared data assets that serve a broad range of analytical, operational, and business use cases across Strava.
- Build and evolve scalable data ingestion and transformation frameworks that move, process, clean, standardize, and organize data across our data lake and data warehouse.
- Develop reusable data engineering tools and abstractions that improve how engineers build and operate data pipelines, including frameworks and capabilities around technologies such as dbt.
- Design high-quality, durable domain data models — such as user, subscription, activity, or other core business domains — that provide consistent definitions and reusable foundations for teams across the company.
- Build systems and workflows that support data governance, privacy, and regulatory requirements, including GDPR-related deletion, retention, access, and data lifecycle management.
- Improve the reliability and observability of our data platform through automated testing, data quality checks, lineage, monitoring, alerting, and operational tooling.
- Optimize large-scale data processing and storage for performance, maintainability, scalability, and cost across both warehouse and data lake environments.
- Partner with data engineers, analytics engineers, software engineers, data scientists, security, privacy, and infrastructure teams to establish scalable data architecture and engineering standards.
YOU WILL BE SUCCESSFUL HERE BY:
- Thinking beyond individual pipelines and designing reusable systems, abstractions, and data models that solve common problems across multiple teams and use cases.
- Building well-defined domain data assets with clear semantics, ownership, lineage, and interfaces so downstream consumers can confidently build on top of them.
- Applying strong data modeling principles to represent complex business entities and relationships in ways that are extensible, understandable, and efficient.
- Maintaining a high bar for data correctness, reliability, privacy, and operational excellence across critical production data systems.
- Making thoughtful engineering tradeoffs across data freshness, scalability, storage, compute cost, complexity, and developer productivity.
- Proactively identifying recurring pain points in the data development lifecycle and creating tooling or platform capabilities that eliminate manual work and improve engineering velocity.
- Designing data systems with governance and regulatory requirements in mind, rather than treating privacy and compliance as downstream concerns.
- Bringing software engineering discipline to data infrastructure through testing, modular design, version control, CI/CD, observability, documentation, and code review.
WHAT YOU’LL BRING TO THE TEAM:
- You have 3–5+ years of professional experience in Data Engineering, Data Infrastructure, Software Engineering, or a related field, with experience owning production data systems.
- You have strong expertise in SQL and data modeling, including experience designing dimensional, normalized, or domain-oriented data models for large-scale analytical systems.
- You have experience building and operating ETL/ELT and data processing systems using technologies such as dbt, Airflow, Spark, or similar frameworks.
- You have experience developing reusable tooling, frameworks, or abstractions that improve how data pipelines and transformations are built, tested, deployed, or operated.
- You are proficient in at least one general-purpose programming language such as Python, Scala, Java, or Go and are comfortable applying software engineering principles to data systems.
- You understand modern data warehouse and data lake architectures and have worked with technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or similar systems.
- You have experience processing and transforming large datasets, including handling schema evolution, data normalization, deduplication, backfills, incremental processing, and data quality.
- You understand data governance and data lifecycle concepts such as lineage, retention, deletion, access control, PII handling, and GDPR/privacy requirements.
- You have experience implementing production-grade data quality, monitoring, alerting, testing, and observability for data pipelines and datasets.
- You can independently reason about data architecture and make sound technical decisions around modeling, ingestion, transformation, storage, reliability, scalability, and maintainability.
- You are comfortable working with cloud infrastructure such as AWS, GCP, or Azure and understand the infrastructure that supports large-scale data processing systems.
Experience with Kafka, Flink or other streaming systems; Kubernetes; Iceberg or other open table formats; data catalogs and lineage systems; schema management; CDC; or internal developer platforms for data engineering is a plus.
For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub.
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
ГибридSingapore, Singapore
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorБолгария, Испания, Португалия; Locations: Spain, Bulgaria, or Portugal ONLY (relocation assistance may be provided); Описание вакансии Locations: Spain, Bulgaria, or Portugal (relocation assistance may be provided); Possible assistance with relocation to Spain or Bulgaria (visa support & relocation package)
УдалённоseniorБолгария, Испания, Португалия; Locations: Spain, Bulgaria, or Portugal ONLY (relocation assistance may be provided); Описание вакансии Locations: Spain, Bulgaria, or Portugal (relocation assistance may be provided); Possible assistance with relocation to Spain or Bulgaria (visa support & relocation package)
УдалённоThis is a globally remote role, typically leading a team concentrated within a major time zone such as EMEA or the Americas; Home based - EMEA
Boston, Massachusetts; Foster City, California; Marlton, New Jersey; Remote, United States; You'll work American-timezone hours to give our global community timely, effective support; Comfort working independently across distributed teams and time zones; The ability to work aligned with American time zones
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