Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Implementation Engineer (Observability/OpenTelemetry): Deploying, configuring, and operationalizing Observe for enterprise customers by building telemetry ingestion pipelines, migrating existing observability environments, and preparing production-ready dashboards and alerts with an accent on OpenTelemetry, scalable data modeling, and customer enablement. Focus on designing logs, metrics, and traces pipelines, modernizing Splunk and ELK implementations, and resolving technical risks and architectural gaps during initial deployments.
Location: United States — New York, NY; New Jersey Metro remote; New York remote
Salary: $160,000–$210,000 per year
Company
Snowflake provides Observe, a SaaS observability platform built on the Snowflake AI Data Cloud for troubleshooting distributed applications.
What you will do
- Lead enterprise implementations from kickoff through initial production readiness.
- Design and configure telemetry ingestion pipelines for logs, metrics, and traces, including parsing, enrichment, normalization, and routing.
- Work hands-on with OpenTelemetry instrumentation and collectors, and migrate Splunk, ELK, and other monitoring environments to Observe.
- Configure datasets, dashboards, alerts, and other observability assets for customer use cases.
- Define implementation plans, milestones, and success criteria while enabling customers to become self-sufficient.
- Identify technical risks, data quality issues, and architectural gaps, collaborating with engineering, product, support, observability engineers, and architects.
Requirements
- 5+ years of experience in customer-facing technical roles such as implementation engineering, solutions architecture, technical consulting, or SRE.
- Strong hands-on experience with observability platforms and telemetry pipelines.
- Practical experience with OpenTelemetry instrumentation, collectors, exporters, and pipelines.
- Experience with observability solutions such as Splunk, ELK/Elastic, Datadog, New Relic, Dynatrace, or Grafana.
- Understanding of logs, metrics, and traces, including data modeling and scalability tradeoffs.
- Experience with AWS, GCP, or Azure, modern application architectures, and direct communication with technical customer teams.
Nice to have
- Experience migrating customers from Splunk or ELK to modern observability platforms.
- Background in SRE, DevOps, or platform engineering.
- Familiarity with Kubernetes, containers, and cloud-native tooling.
- Experience creating implementation templates, runbooks, or enablement content.
- Exposure to multiple observability vendors or hybrid observability environments.
Culture & Benefits
- Hands-on, customer-facing post-sales technical work focused on early outcomes and time-to-value.
- Fast-moving environment that values experimentation, practical problem-solving, and challenging ordinary thinking.
- Opportunity to build repeatable implementation practices and reusable assets as the team scales.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
4 дня назад
Senior Technical Account Manager (AI/Cloud FinOps)
130 000 - 150 000$
4 дня назад
Sr Technical Account Manager (AI)
150 000 - 200 000$
4 дня назад
Delivery Engineer (AI)
164 000 - 206 000$
15 часов назад
Senior Associate Technical Consultant (Cloud & Platform Engineering)
1 день назад
Engagement Manager for Data Modernization (AI)
130 000 - 165 000$
21 час назад
Implementation Manager (SaaS)
145 500 - 182 000$