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Senior Cloud Operations Engineer
Исключительная возможность работать в инновационном подразделении Google (Intrinsic) над передовыми технологиями в робототехнике. Позиция предлагает высокую автономность, лидерские функции и работу с современным стеком (Go, K8s, GCP).
Сложность вакансии
Высокий уровень сложности обусловлен требованиями к опыту работы в SRE/DevOps (от 4 лет), навыками менторства и глубокими знаниями Kubernetes и облачных платформ. Работа в дочерней компании Google над инновационными робототехническими проектами предполагает строгий технический отбор.
Анализ зарплаты
Зарплата для Senior SRE/Cloud инженеров в Сингапуре в технологических компаниях уровня Google обычно находится в верхнем дециле рынка. Указанные рыночные оценки отражают базовый оклад, без учета бонусов и акций (RSU), которые в таких компаниях могут составлять значительную часть компенсации.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Cloud Operations Engineer position at Intrinsic. With over 5 years of experience in SRE and infrastructure engineering, I have a proven trackable record of building resilient cloud platforms and scaling monitoring solutions. My background in Go and Python, combined with deep expertise in Kubernetes and Prometheus, aligns perfectly with your mission to make industrial robotics more accessible through intelligent software.
In my previous roles, I have successfully led the transition to Infrastructure as Code using Terraform and established robust SLO/SLI frameworks that significantly reduced incident response times. I am particularly drawn to Intrinsic's unique position at the intersection of AI, robotics, and Google's ecosystem. I am eager to bring my experience in mentoring junior engineers and architecting scalable operations infrastructure to your dynamic team in Singapore.
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Описание вакансии
Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.
Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
Role
As a Senior Software Engineer on the Operations Infrastructure team, you will lead the design and implementation of the systems that ensure the reliability and health of our cloud platform. You will operate with a high degree of autonomy to architect scalable monitoring, alerting, and dashboarding solutions, working closely with infrastructure teams to prototype new patterns. In this role, you will also serve as a technical mentor to junior colleagues, defining engineering standards for metrics and playbooks and fostering a culture of operational excellence across the organization.
How your work moves the mission forward
- Design and build scalable operations infrastructure, covering monitoring, alerting, and data visualization tools.
- Ensure the reliability of the cloud platform by creating tools that enable proactive incident detection and response.
- Collaborate with infrastructure teams to design and prototype new architecture that supports long-term platform stability.
- Mentor and support junior engineers (L4) to foster technical growth and ensure high-quality code and system design.
- Define and standardize technical requirements for engineering teams regarding observability metrics, logging, and operational playbooks.
- Drive the adoption of proactive incident detection tools to minimize downtime and improve system resilience.
Skills you will need to be successful
- Masters’s degree in Computer Science or equivalent practical experience.
- 4 years of experience in software development with a focus on infrastructure, SRE, or DevOps.
- Experience mentoring or technically leading junior engineers or small project teams.
- Experience with one of Go, Python, or C++.
- Experience building or working with logging, monitoring, and alerting tooling.
- Experience with public cloud platforms and Kubernetes.
Skills that will differentiate your candidacy
- Experience with specific monitoring and visualization tools (e.g., Prometheus, Grafana).
- 2 years of experience participating in on-call rotation.
- Experience defining Service Level Objectives (SLOs) and Service Level Indicators (SLIs).
- Experience working with "Infrastructure as Code" tools (e.g., Terraform, CloudFormation).
- Startup experience—building from 0 to 1 in a rapidly changing technical landscape.
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
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Навыки
- Go
- Python
- C++
- Kubernetes
- Prometheus
- Grafana
- Terraform
- CloudFormation
- SRE
- DevOps
- Infrastructure as Code
- Google Cloud Platform
Возможные вопросы на собеседовании
Проверка опыта проектирования отказоустойчивых систем.
Опишите архитектуру системы мониторинга и алертинга, которую вы бы внедрили для глобальной облачной платформы робототехники.
Оценка навыков работы с Kubernetes в высоконагруженных средах.
С какими наиболее сложными проблемами производительности в Kubernetes вы сталкивались и как их решали?
Проверка понимания методологии SRE.
Как вы определяете границы между SLI, SLO и SLA для критически важного сервиса управления роботами?
Оценка лидерских качеств и навыков менторства.
Расскажите о случае, когда вам нужно было направить младшего инженера при принятии сложного архитектурного решения.
Проверка опыта работы с IaC.
Каковы лучшие практики управления состоянием (state) в Terraform при работе в большой распределенной команде?
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