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Partner Solution Architect (pre-sales)
Elastic — мировой лидер в своей нише с отличной корпоративной культурой и гибким графиком. Позиция предлагает высокую степень влияния на бизнес в регионе ANZ и работу с передовыми технологиями Search AI.
Сложность вакансии
Роль требует глубоких технических знаний стека ELK, опыта работы с облачной инфраструктурой (K8s, Terraform) и развитых навыков работы с партнерами. Высокий порог входа обусловлен необходимостью совмещать функции архитектора, ментора и пресейл-инженера.
Анализ зарплаты
Предлагаемая роль в Elastic соответствует уровню Senior/Lead Solutions Architect. Рыночные оценки для Сиднея в этой сфере выше среднего из-за дефицита специалистов со знанием специфических стеков вроде ELK.
Сопроводительное письмо
I am writing to express my strong interest in the Partner Solutions Architect position at Elastic. With over 8 years of experience in technical roles and a deep expertise in the Elastic Stack, I am confident in my ability to drive technical strategy and enablement for your partners in the ANZ region. My background includes designing complex distributed architectures and leading hands-on technical labs that empower engineering teams to deliver high-impact solutions.
Throughout my career, I have successfully bridged the gap between high-level strategy and technical implementation. I have extensive experience with Kubernetes, Terraform, and major cloud providers, which allows me to build robust prototypes and optimize search performance at scale. I am particularly drawn to Elastic's commitment to innovation in Search AI and look forward to the opportunity to contribute to the success of your partner ecosystem.
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Откликнитесь в elastic уже сейчас
Присоединяйтесь к лидеру в области Search AI и развивайте партнерскую экосистему Elastic в регионе ANZ!
Описание вакансии
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
The Role
Elastic, the Search AI company, is looking for a Partner Solutions Architect to lead technical strategy and enablement for our ecosystem in the ANZ region. This is a hands-on builder role. You are the bridge between strategy and implementation, responsible for ensuring our partners are not only articulating Elastic’s value but are technically capable of architecting, building, and validating complex solutions. You will lead "deep-dive" technical labs and guide partners through the most challenging phases of technical validation.
Your Impact
- Strategic Leadership: Own Technical Engagement Plans (TEPs) for focus partners, establishing long-term technical roadmaps at the CTO and Practice Lead level.
- Technical Validation & Co-Innovation: Guide partners through high-stakes Technical Validation cycles, ensuring Elastic solutions are built to best-practice standards.
- Deep-Dive Enablement: Lead "one-to-many" technical "Build-a-thons" and hands-on laboratory sessions that empower partner engineers to lead their own implementations.
- Trusted Advisor: Build deep relationships with partner pre-sales teams to guide them through the "how-to" of complex Search AI, Observability, and Security architectures at the configuration level.
- Reference Architectures: Collaborate on "design wins" by developing repeatable technical blueprints.
What You Bring
- Direct, hands-on experience with the Elastic Stack (ELK) or similar distributed search/analytics technologies (e.g., OpenSearch, Solr, Splunk, Datadog).
- 8+ years of experience in technical roles.
- Proven ability to design and build technical prototypes, ingest complex datasets, and optimize search/indexing performance.
- Hands-on experience with Kubernetes, Docker, and Infrastructure as Code (Terraform) on AWS, Azure, or GCP.
- 3+ years in a partner-facing role, with a focus on building technical practices and enabling third-party engineering teams.
- The ability to translate deep technical capabilities into scalable partner-led solutions.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
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Навыки
- AWS
- Azure
- Terraform
- Kubernetes
- Google Cloud Platform
- Docker
- Security
- Distributed Systems
- Observability
- Kibana
- ElasticSearch
- Logstash
- Search AI
Возможные вопросы на собеседовании
Проверка практического опыта оптимизации производительности поиска и индексации в Elastic Stack.
Расскажите о наиболее сложном случае оптимизации производительности кластера Elasticsearch, с которым вы сталкивались. Какие метрики вы анализировали?
Оценка способности кандидата обучать технических специалистов партнеров.
Как вы подходите к проведению технических воркшопов (Build-a-thons) для аудитории с разным уровнем подготовки?
Проверка навыков проектирования облачных решений.
Опишите ваш опыт развертывания Elastic в Kubernetes с использованием Terraform. С какими основными трудностями вы сталкивались при масштабировании?
Оценка навыков стратегического планирования и работы с руководством партнеров.
Как вы выстраиваете долгосрочный технический план развития (TEP) для крупного партнера на уровне CTO?
Проверка понимания современных трендов в области ИИ и поиска.
Как бы вы объяснили ценность интеграции векторного поиска и генеративного ИИ в платформу Elastic для партнера, который ранее использовал только базовый поиск?
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