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Site Reliability Engineer (SRE) / DevOps Engineer
Отличная вакансия в стабильной международной компании с интересными задачами на стыке SRE и AI. Предлагается гибридный график, современный стек и работа с крупными мировыми брендами, что дает хороший буст для карьеры.
Сложность вакансии
Роль требует глубоких знаний в области Kubernetes, IaC и облачных платформ, а также опыта работы с высоконагруженными системами (100 млн+ пользователей). Дополнительную сложность и интерес представляет требование по интеграции AI-инструментов в процессы эксплуатации.
Анализ зарплаты
Зарплата в объявлении не указана, но для SRE-инженера с опытом от 4 лет в Ереване рыночные показатели обычно находятся в диапазоне от $4000 до $6500 после вычета налогов. Lineate как международная компания обычно предлагает конкурентоспособные условия, соответствующие верхним границам рынка.
Сопроводительное письмо
I am writing to express my strong interest in the SRE / DevOps Engineer position at Lineate. With over 4 years of experience in managing high-availability cloud environments and a deep commitment to SRE principles, I am excited about the opportunity to contribute to a company that handles billions of transactions for prestigious clients like The New York Times. My background in automating complex CI/CD pipelines and managing Kubernetes clusters aligns perfectly with your requirements for supporting superscale environments.
I am particularly impressed by Lineate's forward-thinking approach to integrating AI tools like Claude and generative models into the SRE workflow. In my previous roles, I have always sought ways to leverage automation and predictive analytics to enhance system reliability and reduce toil. I am confident that my technical expertise in Terraform, AWS/GCP, and observability stacks, combined with my passion for DevSecOps, will allow me to make a significant impact on your production systems and help coach the engineering teams toward best practices.
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Описание вакансии
About Lineate
We help companies go from myth to reality with custom technology. Handling billions of transactions and terabytes of data, our technology solutions have enabled companies like The New York Times, AppNexus, and NYU to achieve their goals for over a decade. Whether we’re rolling out a custom CMS that populates over 2,000 websites, providing complex loyalty offers or creating something completely custom, our expertise falls into three main categories:
- Building the tech solutions companies need to achieve their goals
- Improving and optimizing the technology companies already have
- Supporting in-house development teams with our own experts & resources.
We work with companies across all verticals, including martech, ad tech, fintech, ecommerce, and more.
Role Overview As an SRE/DevSecOps/System Engineer, you will drive DevOps, SRE, and security practices for cloud-native services supporting a superscale environment (100s of millions of daily active users). Responsibilities include designing and optimizing CI/CD pipelines, cloud infrastructure, monitoring, alerting, and automation to enhance efficiency, scalability, reliability, and security. You should utilize AI tools (like Claude Code/Coworker) to boost productivity and automate tasks. You will bridge development and operations, applying an engineering mindset to system administration, and coaching teams on best practices.
Key Responsibilities:
SRE, Reliability & Automation
- Apply Site Reliability Engineering (SRE) principles to ensure availability, performance, latency, efficiency, change management, monitoring, emergency response, and capacity planning.
- Act as a lead for service reliability, scalability, and performance for a set of products.
- Define and monitor SLA / SLO / SLI for each service and component.
- Troubleshoot and resolve moderate to high-complexity issues independently.
- Integrate and leverage AI tools and generative models to enhance SRE productivity, including automated runbook generation, intelligent log analysis, and predictive incident management.
DevSecOps Engineering & CI/CD
- Build, maintain, and optimize fully automated CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, or similar) for code deployment, test automation, code quality, and telemetry.
- Proactively identify and address vulnerabilities at the application layer to prevent security incidents.
- Implement continuous deployment solutions and ensure seamless integration with development workflows.
Cloud, Containers & Infrastructure
- Design, build, and maintain reliable and scalable cloud-native infrastructure and platforms.
- Manage and optimize containerized environments using Docker and guide teams on orchestration using Kubernetes/OpenShift (including K8s cluster management).
- Automate provisioning and configuration management using Infrastructure as Code tools such as Terraform and Ansible.
- Manage, improve, and monitor cloud infrastructure including shared services and landing zones across multi-cloud environments (AWS / GCP).
Monitoring & Observability
- Design effective monitoring, alerting, and log aggregation solutions using modern observability tools (Grafana, Prometheus, Loki, Splunk, DataDog, or similar).
- Build and improve monitoring and observability systems, including metrics, logs, and alerting.
Collaboration & Technical Leadership
- Collaborate with engineering teams to improve system performance and reliability.
- Coach software engineers on DevSecOps best practices, automation, and cloud adoption.
- Participate in incident response and root cause analysis.
Required Qualifications & Experience
- 4+ years of commercial experience in DevSecOps / SRE implementation and/or cloud computing/migration (AWS, Azure, GCP).
- Experience with superscale, supporting production systems in high-availability, resiliency, and fault-tolerant environments.
- Bachelor’s degree in Computer Science, Software Engineering, or a similar technology degree.
- Containers & Cloud Platforms: Docker, Kubernetes, AWS, and/or GCP. (AWS / GCP certifications are preferred).
- Infrastructure as Code (IaC) & Automation: Terraform, Ansible, and Shell scripting (Bash).
- CI/CD & Build Automation: Extensive experience with CI/CD pipelines (Jenkins, GitHub Actions, etc.).
- Monitoring & Analytics: Experience with platforms and tools such as Grafana, Prometheus, Loki, Tracing, Splunk, DataDog, etc..
- Security: Familiarity with infrastructure and application security best practices and vulnerability management.
- Scripting & Operating Systems: Unix Administration and basic backend development skills in Java or/and Python.
- Experience with utilizing and integrating AI/ML and AIOps platformsfor automation, predictive analytics, or productivity enhancement in SRE/DevSecOps workflows (e.g., smart alerting, anomaly detection, LLM-assisted scripting).
- Strong troubleshooting skills and understanding of infrastructure and system design principles.
We offer
- Freedom to Develop - equal opportunity to learn and grow professionally
- Clear career and professional path, strong performance management system
- Equipment
- Lunch catering
- All the advantages of working in an international IT company
- Flexible vacation time
- Hybrid work format
- Fun and inclusive in-person and digital events
Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need.
Learn more about Lineate at our website: www.lineate.comwww.lineate.com
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Навыки
- Docker
- Kubernetes
- AWS
- GCP
- Terraform
- Ansible
- Bash
- Jenkins
- GitHub Actions
- Grafana
- Prometheus
- Loki
- Splunk
- Datadog
- Python
- Java
- CI/CD
- SRE
- DevSecOps
Возможные вопросы на собеседовании
Вакансия делает упор на использование AI (Claude Code, LLM) для автоматизации. Важно понять, как кандидат видит практическое применение этих технологий.
Как бы вы использовали генеративный AI для улучшения процессов инцидент-менеджмента и создания runbooks в нашей инфраструктуре?
Работа с 'superscale' средами требует понимания масштабируемости.
Опишите ваш опыт управления кластерами Kubernetes, обслуживающими миллионы активных пользователей. С какими основными проблемами производительности вы сталкивались?
Вакансия объединяет SRE и DevSecOps. Проверка навыков обеспечения безопасности в пайплайнах.
Какие инструменты и этапы вы бы внедрили в CI/CD пайплайн для обеспечения безопасности на уровне приложения (SAST/DAST) без значительного замедления деплоя?
SRE подразумевает работу с метриками.
Как вы определяете границы между SLI, SLO и SLA для критически важного микросервиса, и как вы настраиваете алертинг, чтобы избежать 'усталости от уведомлений'?
Требуются навыки бэкенд-разработки на Java или Python.
Расскажите о случае, когда вам пришлось писать кастомный код или скрипт на Python/Java для решения проблемы, которую нельзя было закрыть стандартными инструментами автоматизации.
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