Обязанности:
• ручное функциональное, регрессионное и интеграционное тестирование бэкенд-сервисов и AI-агентов
• разработка и поддержка тестовой модели (регрессионный набор, чек-листы)
• написание и поддержка автотестов на Python (API, интеграционные, smoke, e2e)
• анализ результатов прогона автотестов в CI, локализация и заведение дефектов
• взаимодействие с командой разработки для уточнения логики работы сервисов
Требования:
• коммерческий стаж в тестировании — от 3 лет
• из них написание автотестов — от 2 года
• тестирование backend-сервисов через REST API, работа со Swagger/OpenAPI
• понимание HTTP: методы, коды ответов, структура запроса/ответа
• уверенный PostgreSQL: SELECT, JOIN
• понимание синхронного (REST/gRPC) и асинхронного (Kafka/RabbitMQ) взаимодействия сервисов
• опыт интеграционного тестирования нескольких сервисов
• умение анализировать цепочки прохождения данных между системами
• поиск и анализ логов в Kibana (ELK) / Grafana
• написание и актуализация тест-кейсов (разумный уровень детализации)
• твёрдое знание: типы данных, условия, циклы, функции, работа с файлами, ООП, регулярные выражения
• понимание поддерживаемого кода (DRY, читаемость, модульность)
• стек: pytest + requests + Selenium/Playwright + SQLAlchemy + pydantic (или jsonschema)
• Git, Bitbucket/GitLab, Code Review
• Allure-отчёты
• Jenkins
Условия:
• удобный офис AgileHome около станции метро Кутузовская с комфортными условиями (столовые, кафе, бесплатные кухня, спортзал, парковка, зоны отдыха)
• конкурентоспособная зарплата (оклад плюс бонусы)
• возможность использовать современные технологии
• полный соцпакет (включая добровольное медицинское страхование)
• обширный выбор образовательных программ и сертификаций за счёт компании
• программу льготного кредитования в Сбере
• скидки у партнёров компании
• шанс поучаствовать в масштабных инновационных проектах.
Задачи:
— Управлять backend-командой: найм, онбординг, проведение 1-on-1 и performance review.
— Планировать backend-работы на квартал и контролировать сроки реализации задач.
— Развивать архитектуру сервисов и проектировать новые функциональные возможности.
— Контролировать техническое качество через code review и внедрение стандартов разработки.
— Развивать observability-стек и повышать общую надежность и стабильность систем.
— Участвовать в разборе production-инцидентов и проведении постмортемов.
Требования:
— Опыт разработки на Python (FastAPI) от 5 лет.
— Опыт на руководящей должности от 2 лет.
— Уверенное владение PostgreSQL и брокерами сообщений (RabbitMQ, Kafka).
— Понимание observability-стека (ELK, Prometheus, Grafana).
— Знание Docker, Kubernetes и принципов эксплуатации сервисов.
— Сильная общеинженерная база (сети, БД, основы ИБ).
Хорошо, если есть:
— Опыт работы с высоконагруженными системами.
— Знание Redis, ClickHouse, OpenSearch.
— Опыт построения CI/CD процессов и работы с Helm/Argo CD.
— Опыт работы с контуром ЕПГУ/ЕСИА.
Условия:
— Работа в крупнейшей технологической компании страны.
— Возможность влиять на продукты, которыми пользуются миллионы людей.
— Профессиональное развитие и работа с высоконагруженными системами.
— Удаленный формат работы.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient — from automated deployments and monitoring to performance optimization and incident response.
You are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML — you'll keep your team connected to that mission and translate user learnings into better infrastructure.
RESPONSIBILITIES
- Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s.
- Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work.
- Foster a culture of ownership, accountability, and continuous improvement.
- Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them.
- Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from specification through production.
- Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity.
- Partner with product and engineering teams to align infrastructure work with business priorities; represent your team's progress, capacity, and technical tradeoffs clearly to leadership.
- Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.
REQUIREMENTS
- Proven experience directly managing engineers in a cloud infrastructure, platform engineering, or SRE context (not managing managers).
- Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews.
- Strong background building and maintaining scalable, production infrastructure.
- Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins).
- Demonstrated ability to drive projects end-to-end — from specification to execution — and coach your team to do the same.
- Strong written and verbal communication skills; able to influence across teams without direct authority.
- Track record of recruiting and growing engineering talent.
- Openness to learning about ML infrastructure; prior machine learning experience is not required.
NICE TO HAVE
- Experience with OSS observability tooling (Prometheus, ELK stack, Grafana, OpenTelemetry).
- Background in multi-cloud environments or GPU infrastructure.
- Experience building and managing on-call rotations and incident response processes.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Задачи:
— Разработка и поддержка real-time feature store на базе Apache Flink для ML-решений
— Создание и масштабирование потоковых конвейеров обработки данных объемом в терабайты ежедневно
— Обеспечение качества данных, валидации и мониторинга данных end-to-end
— Поддержка низколатентных (<100ms p99) потоков данных для систем выбора рекламы и ценообразования
— Тесное взаимодействие с командами Data Science, Backend и Infrastructure
Требования:
— Опыт построения и масштабирования инфраструктуры данных или потоковых систем в продакшене на значительном масштабе
— Знание распределенных систем, событийно-ориентированных архитектур и высокопроизводительных потоковых конвейеров
— Сильные навыки backend-разработки, особенно на Java
— Практический опыт работы с Kafka, Flink или аналогичными технологиями потоковой обработки
— Понимание взаимодействия продакшен-систем данных с ML-командами и влияния на производительность ML
— Ориентация на создание инфраструктуры, обеспечивающей реальное время и интеллектуальные решения
Условия:
— Работа в Гамбурге в гибридном формате (3 дня в офисе)
— Полная поддержка релокации и визовая поддержка для международных кандидатов
— Зарплата в диапазоне 85-100 тыс. евро в год
Технологический стек:
Kafka, Apache Flink, Go, Java, AWS (S3, DynamoDB), Redis, Druid, Kubernetes, Terraform, Airflow, Prometheus, Grafana, ELK
Location: Kyiv
Workplace: onsite
Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe.
We are looking for a DevOps Team Lead to join our Platform Team and help us scale, secure, and improve our cloud infrastructure. This role combines hands-on technical ownership with team leadership: you will guide DevOps engineers, define platform priorities, improve reliability, and collaborate closely with product and engineering teams.
The System Division develops the Ajax software ecosystem — including OS Malevich, the Video Management System, cloud infrastructure, and client applications. The team ensures the stable operation of all system components as a unified digital platform.
Requirements:
5+ years of experience in DevOps, Platform Engineering, SRE, or Cloud Engineering, including 2+ years in a lead or senior ownership role.
Strong hands-on experience with Kubernetes, preferably AWS EKS, including cluster operations, networking, autoscaling, workload reliability, and security best practices.Solid AWS experience: VPC, IAM, EC2, RDS, ElastiCache, Route 53, Lambda, Load Balancers, CloudFront/S3 etc.
Experience with Infrastructure as Code and configuration management tools, especially Terraform/Terragrunt.
Experience with GitOps-based delivery using Argo CD or Flux, and Helm/Kustomize for Kubernetes application management.
Strong Linux and TCP/IP networking knowledge, including troubleshooting production systems.
Experience with secrets management, access control, and credential rotation practices.
Strong observability background: metrics, logs, alerts, SLOs, incident investigation, and tools such as Datadog, Grafana, VictoriaMetrics, ELK, or Opsgenie.
Ability to lead technical discussions, explain trade-offs, set priorities, and drive decisions across engineering teams.Strong communication, ownership, task management, and mentoring skills.
Desirable:
Experience with advanced Kubernetes tooling: Karpenter, KEDA, Envoy, Istio/Linkerd or similar.
Experience with streaming platforms such as NATS or Kafka.
Operational experience with databases such as MongoDB, MySQL, PostgreSQL, or managed cloud database services.
Experience with compliance frameworks such as SOC 2.Background in FinOps, cloud cost optimization, and infrastructure efficiency improvements.
Experience with disaster recovery planning, backup strategies, incident response, or production fire drills.
Responsibilities:
Lead, mentor, and grow the DevOps/Platform team: set technical priorities, support hiring, provide feedback, and foster a culture of ownership and engineering excellence.
Own and evolve the Kubernetes platform: cluster architecture, deployment standards, autoscaling, reliability, security practices, and developer experience.
Improve CI/CD and GitOps workflows to make deployments safer, more repeatable, and easier for engineering teams.
Collaborate with engineering, product, security, and operations teams to align infrastructure improvements with business and product needs.
Identify and remove bottlenecks in the software delivery lifecycle, platform operations, and production support processes.
Strengthen platform security: access management, secrets management, network controls, compliance requirements, and secure-by-default practices.
Build and improve proactive observability: monitoring, alerting, dashboards, incident response processes, and post-incident improvements.
Drive cloud cost optimization initiatives and provide practical recommendations for more efficient infrastructure usage.
Participate in production support and on-call processes for critical incidents, while continuously improving reliability and reducing operational toil.
We offer:
The opportunity to suggest and implement your own ideas that directly influence the product and its mass production;
A place in a fast-growing company with a motivated and professional team;
Competitive salary;
Medical insurance;
Corporate English classes;
The opportunity to participate in Ajax’s internal beta-testing program for security systems;
Discounts from partner companies;
Discounts on Ajax products.
Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.
Location: San Francisco; Remote; Toronto; New York; Montreal
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently.
You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company.
EXAMPLE INITIATIVES
You'll work on projects like these as part of the SRE team:
- Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services.
- Building AI-assisted tooling for incident triage and response.
RESPONSIBILITIES
- Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking.
- Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code.
- Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution.
- Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations.
- Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management.
- Define and instrument SLOs and SLIs across customer workloads and internal services.
- Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define.
REQUIREMENTS
- Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus).
- Experience in building and maintaining scalable infrastructure.
- Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus.
- Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD).
- Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis.
- Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage.
- Familiarity with incident management platforms (incident.io http://incident.io or similar) is a plus.
- No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Задачи:
— Создание и поддержка пайплайнов сборки и деплоя (GitHub Actions).
— Управление контейнерами (Docker, Nomad/K8s, Podman).
— Поддержка, ремонт и масштабирование систем с фокусом на безопасность.
— Настройка мониторинга (Prometheus, Grafana, ELK) и Alertmanager.
— Участие в проектировании архитектуры и внедрение IaC-подходов.
Требования:
— От 3 лет коммерческого опыта в DevOps.
— Владение Docker, Nomad/K8s, Consul, Traefik, Vault.
— Уверенное владение Ansible и скриптингом (Bash, Python).
— Опыт работы с MySQL и понимание twelve-factor app.
— Навыки создания дашбордов в Grafana.
Условия:
— Работа в продукте с более чем 10 миллионами пользователей.
— 28 дней отпуска + 7 дополнительных Day-off в году.
— 100% оплата больничных и компенсация обучения/литературы.
— Гибкий старт дня (10:00–11:00).
— Комфортный офис в центре Санкт-Петербурга (м. Площадь Восстания).
Задачи:
— Тестирование сервисов и API
— Работа с автотестами на Java
— Взаимодействие с командами разработки
— Участие в Code Review
— Анализ логов и поиск причин инцидентов
— Работа с очередями и интеграциями
Требования:
— Опыт тестирования от 2 лет (manual / automation)
— Понимание тест-дизайна и теории тестирования
— Уверенная работа с iOS / Android
— Опыт с REST API, Postman
— Знание SQL (PostgreSQL, написание запросов)
— Знание Java (ООП, автотесты, паттерны)
— Опыт с RabbitMQ
— Владение Git, ELK
— Работа с JSON
— Будет плюсом: опыт работы по Scrum / Kanban
Условия:
— Возможность работать с реальным продуктом и сложными интеграциями
— Расширенный социальный пакет
— Возможности для профессионального роста и развития
— Рассматриваем кандидатов по всей РФ и из дружественных стран
Задачи:
— Конфигурировать и разворачивать инфраструктурные компоненты
— Адаптировать/разрабатывать с нуля автоматизированные пайплайны под актуальные бизнес-задачи (AutoML, LLM, computer vision и пр)
— Создавать и поддерживать пользовательские инструменты для работы в едином ML-контуре применения и обучения
— Масштабировать разрабатываемые системы и инструменты для управления жизненным циклом моделей машинного обучения
Требования:
— Опыт DevOps от 3х лет (Docker, Helm, Jenkins/GitLab CI, Python)
— Опыт ML/MLOps от 1 года (Airflow, JupyterHub, MLflow, Seldon, CUDA)
— Опыт администрирования Kubernetes от 2х лет
— Опыт работы с Hadoop, Spark, Kafka, ELK
Условия:
— Работа в аккредитованной IT компании, имеющей собственные продукты
— Формат работы: удаленный по РФ
— Предоставляем расширенный ДМС (со стоматологией)
— Выдаем необходимую для работы технику (ноутбук)
— Возможность воспользоваться реферальной программой: “Приведи товарища”
— Участие в Бонусной программе
— Помогаем в ипотеке и других пособиях
— Предоставляем возможность построить карьеру в рамках ведущих компаний России
Задачи:
— Формализация требований к качеству данных, обследование информационных систем банка, защита метрик качества с бизнесом.
— Проектирование REST/SOAP-сервисов, разработка OpenAPI, анализ логов (ELK), контроль SLA.
— Технический онбординг, наставничество, проведение ассессментов и технических интервью.
— Выявление технического долга, аудит решений, контроль соблюдения стандартов качества документации.
Требования к кандидату:
— Опыт системного анализа от 3 лет.
— Глубокое знание BPMN и UML (activity, sequence) с использованием PlantUML.
— Опыт проектирования REST (OpenAPI) и SOAP-сервисов, работа с Postman, SOAP UI, чтение XSD.
— Уверенный SQL: JOIN, оконные функции, CTE, хранимые процедуры, проектирование ER-моделей.
— Опыт работы с Kafka/RabbitMQ.
— Понимание high load / high performance, микросервисной архитектуры, синхронных и асинхронных интеграций.
— Опыт формализации требований к качеству данных (BRD, FSD, UG, регламенты), работа с бизнес-заказчиком.
Условия:
— Работа в аккредитованной IT компании.
— Формат работы: удаленный по РФ.
— Предоставляем расширенный ДМС (со стоматологией).
— Выдаем необходимую для работы технику (ноутбук).
— Возможность воспользоваться реферальной программой: “Приведи товарища”.
— Участие в бонусной программе.
— Помогаем в ипотеке и других пособиях.
— Предоставляем возможность построить карьеру в рамках ведущих компаний России.
Задачи:
— Разработка, поддержка и улучшение веб-приложений.
— Создание чистого, эффективного и документированного кода.
— Интеграция сторонних API и сервисов.
— Реализация мер безопасности и защиты данных.
— Оптимизация производительности и масштабируемости приложений.
— Проведение код-ревью и участие в командной работе.
Требования:
— Опыт backend-разработки на Python от 5 лет.
— Глубокий опыт с astAPI для создания RESTful API и микросервисов.
— Практика работы с API-гейтами (Kong, WSO2) и системами аутентификации (Keycloak, AD).
— Опыт интеграции с системами очередей: Apache Kafka, RabbitMQ.
— Знание CDN (CloudFront, Cloudflare) и кэширования.
— Опыт с CI/CD (Git, Azure DevOps), контейнеризацией.
— Стек данных: PostgreSQL, Oracle PL/SQL, Redis, ELK.
— Английский язык B2.
— Будет большим плюсом: Опыт интеграции с Oracle E-Business Suite R12.2(PL/SQL, публичные API), знание Oracle SOA Suite(BPEL, OSB, Mediators), опыт с Kubernetes и оркестрацией контейнеров, углубленное понимание PostgreSQL, Oracle DB, Elasticsearch.
Условия:
— Работа с международными компаниями: Samsung, TUI, Ryanair, Johnson & Johnson и др.
— Стабильная заработная плата, пакет бонусов и benefits.
— Программа компенсации профессиональных сертификатов.
— Внутренняя база знаний с курсами.
Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents.
We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
- Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/
- Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/
- Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/
- Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/
RESPONSIBILITIES
- Build and maintain scalable infrastructure to support the deployment and operation of machine learning models.
- Establish standards and best practices for reliability and performance across the infrastructure.
- Automate processes when relevant, particularly for managing CI/CD pipelines.
- Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution.
- Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
- Mentor junior team members and contribute to knowledge sharing within the organization.
- Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
- Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- Extensive experience with Kubernetes.
- Experience in building and maintaining scalable infrastructure.
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins).
- Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus.
- Ability to own projects end-to-end, from project specification to execution.
- No prior machine learning experience required, but should be open to learning about it.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
ГибридSan Francisco
165 000 – 330 000 $
Не хотите искать каждый день?
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
