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Staff Site Reliability Engineer
Высокая оценка обусловлена престижем компании, сложностью задач (цель 99.99% uptime) и возможностью влиять на архитектуру и культуру крупной AI-платформы. Роль предполагает значительное влияние и профессиональный рост.
Сложность вакансии
Роль уровня Staff требует не только глубоких технических знаний Kubernetes и облачных платформ, но и лидерских качеств для управления инцидентами и внедрения культуры SRE в масштабах всей компании. Ожидается опыт работы с AIOps и сложными системами мониторинга.
Анализ зарплаты
Для позиции Staff SRE в Пуне (Индия) зарплата обычно значительно выше среднего по рынку из-за высокого уровня ответственности и требований к опыту (8+ лет). AlphaSense — международная компания, поэтому предложение, скорее всего, будет находиться в верхнем дециле рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Site Reliability Engineer position at AlphaSense. With over 8 years of experience in SRE and DevOps, including significant time spent in senior leadership roles, I have a proven track record of architecting scalable reliability platforms and fostering a "You Build It, You Run It" culture. My expertise in Kubernetes, AWS, and advanced observability tools like OpenTelemetry aligns perfectly with your mission to achieve 99.99% uptime for mission-critical AI-driven systems.
Throughout my career, I have acted as an Incident Commander for high-severity events and have successfully implemented AIOps strategies to automate diagnostics and remediation. I am particularly drawn to AlphaSense's commitment to innovation through the acquisition of Tegus and the integration of sophisticated AI. I am eager to bring my technical mentorship skills and deep understanding of full-stack troubleshooting to your global engineering organization to help set the technical bar for reliability.
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Описание вакансии
About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About The Role:
Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization.
Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company.
Who You Are:
- 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
- Strong background in running production SaaS systems at scale.
- Proficiency in at least one programming/scripting language (Python, Go, or similar).
- Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
- Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
- Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
- Familiarity with advanced observability (OTEL, continuous profiling).
- Proven incident management experience, including leading high-severity incidents and postmortems.
- Strong troubleshooting skills across the full stack.
- Excellent communication and collaboration skills.
What You’ll Do
- Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
- Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
- Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
- Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
- Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
- Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
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Навыки
- Kubernetes
- AWS
- Google Cloud Platform
- Azure
- Python
- Go
- Prometheus
- Grafana
- Datadog
- ELK stack
- OpenTelemetry
- TCP/IP
- DNS
- HTTP
- Load Balancing
Возможные вопросы на собеседовании
Проверка опыта лидерства в критических ситуациях и умения сохранять спокойствие.
Опишите случай, когда вы выступали в роли Incident Commander во время крупного сбоя. Как вы координировали команду и какие выводы были сделаны в постмортеме?
Вакансия делает упор на автоматизацию и AIOps.
Как бы вы подошли к реализации стратегии AIOps для автоматического обнаружения и устранения аномалий в распределенной системе?
Проверка архитектурного мышления и понимания концепции 'Paved Paths'.
Какие инструменты или фреймворки вы бы разработали, чтобы помочь продуктовым командам самостоятельно управлять надежностью своих сервисов?
Оценка глубоких знаний сетевых протоколов и траблшутинга.
Как вы будете диагностировать проблему с задержкой (latency) в микросервисной архитектуре, если стандартные метрики мониторинга не показывают явных отклонений?
Проверка навыков наставничества, необходимых для уровня Staff.
Как вы подходите к менторству старших инженеров и как транслируете лучшие практики SRE на команды, которые привыкли работать по классической модели эксплуатации?
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