Sr Staff Software Engineer (Distributed Systems | Data Ingestion | Storage | Analytics) - Remote
工程师弗雷德·卢迪写代码，为他的同事菲利斯自动化了一个无聊的任务。她哭了喜悦的眼。那一刻激励弗雷德建立一个公司可以让每个人都从忙碌的工作中解放出来，以便他们能够专注于有意义的工作。今天，ServiceNow 是企业重塑的人工智能控制塔。我们的 ServiceNow AI 平台将任何 AI,任何数据和工作流程都聚集在一起，帮助85%的富士顿500®公司更聪明，快速和更好地工作。我们正在建设一种人工智能原生文化，技术和人才无法停止在一起。我们刚刚开始。加入我们来为人们提供人工智能的工作。关于角色。卫生日志分析 (HLA) 是服务诺的高量运营日志平台，为服务诺的大型企业客户构建。工作范围涵盖了数据收集和摄入，路由和丰富化，持久性存储和保留以及快速的成本意识查询。我们的摄入基于 OpenTelemetry,我们拥有自己的 Rust-based 日志存储。随着数据量，客户需求和人工智能驱动的使用案例的增长，我们需要这个平台变得更加可靠，更有效，更有用。我们正在寻找一名高级技术领导人，帮助确定 HLA 接下来的方向。你将与工程和产品领导层一起工作在路线图上。你会带来一个明确的观点并用原型显示它，而不仅是幻灯片。你将为经验丰富的工程师设定技术杆。你将成为一个伟大的团队伙伴，而不是房间里最响亮的人。你将做什么 · 帮助塑造 HLA 路线图，使用工程，产品和领导力。带来视觉和现实检查。· 与客户直接合作以确保 HLA 随着需求变化的同时继续提供价值。将他们的反转化成清晰可操作的产品和路线图输入。· 设定建筑方向，包括摄入，存储和查询以及你不拥有的团队。·写下你的观点，然后构建一个帮助别人看到并支持的原型模型。· 说不到，有理由。这包括没有证据的 AI 想法，以及不符合当今限制的时间表或设计。也知道何时超越这些限制。· 带领深层次的设计评论，提高了标准值，让人们感觉更敏，而不是更小。·定义可靠的设计。
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It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
About the role
Health Log Analytics (HLA) ingests, stores, and analyzes the logs that power ServiceNow's AIOps suite. We want it to be the data backbone teams trust to find problems early and fix them fast.
HLA is a data platform for operational logs at high volume, built for ServiceNow’s large enterprise customers. The work spans the full data path: collection and ingestion, routing and enrichment, durable storage and retention, and fast, cost-aware query. Our ingest builds on OpenTelemetry, and we have our own Rust-based log storage. As data volume, customer needs, and AI-driven use cases grow, we need the platform to get more reliable, more efficient, and more useful.
We're looking for a senior technical leader to help set where HLA goes next. You'll work side by side with engineering and product leadership on the roadmap. You'll bring a clear point of view and show it with a prototype, not just a slide.
You'll set the technical bar for experienced engineers. You'll do it by being a great teammate, not the loudest person in the room.
What you'll do
· Help shape the HLA roadmap with engineering, product, and leadership. Bring both vision and a reality check.
· Work directly with customers to make sure HLA keeps delivering value as their needs change. Turn their feedback into clear, actionable input for product and the roadmap.
· Set architecture direction across ingest, storage, and query, and across teams you don't own.
· Write down your point of view, then build a prototype that helps others see it and get behind it.
· Say no, with reasons. That includes AI ideas with no evidence behind them, and timelines or designs that don't fit today's constraints. Know when to push past those constraints, too.
· Lead deep design reviews that raise the bar and leave people feeling sharper, not smaller.
· Define the reliability and efficiency bar for the HLA data path: completeness, durability, latency, availability, tenant isolation, and unit cost.
· Lead the technical approach to hard transitions, such as storage migrations, schema changes, replay, and upgrades with little or no downtime.
· Set clear architectural boundaries and contracts for the teams building collection, ingest, storage, anomaly detection, query, and AIOps experiences.
· Show how we build with AI. Weigh ideas against customer value, data quality, reliability, and cost. Run small experiments to help us decide what to scale.
· Set the example on quality, on-call, and learning from incidents.
· Mentor senior engineers and tech leads. Help grow the next technical leaders.
· Work as a real partner to engineering and product leadership. Learn in the open.
To be successful in this role you have
· Experience in leveraging or critical thinking about how to integrate AI into work processes, decision making, or problem solving. This includes using AI powered tools, automated workflows, analyzing AI-driven insights, or reasoning about AI’s impact on how infrastructure is built and run.
· 12+ years building and operating production distributed systems, with substantial ownership of large-scale data or platform systems. Equivalent depth shown through sustained technical leadership counts too.
· Broad grounding across data ingestion, storage and query, and AI on top of data. Deep expertise in at least one.
· Experience with ingest tools like Kafka, Pulsar, or Kinesis, and with columnar stores, time-series databases, Elasticsearch/OpenSearch, or object-storage designs
· A record of changing the direction of teams you didn't own, through credibility and clear thinking
· Evidence-based judgment on AI. You know where it belongs and where it doesn’t, and you’ve built safeguards for correctness, safety, and cost. You’ve shipped with it, or you’re a strong proponent with a clear point of view.
· Good judgment on tradeoffs: consistency, latency, cost, and operational burden
· Comfort with Kubernetes and cloud infrastructure at scale
· Fluency in at least one of Go, Java, Scala, Rust, or Python. You prototype and review deeply, and you write code when it counts.
· Clear communication. You can explain a tricky design to a new hire or a VP and have both of them get it.
Nice to Have:
· A background in observability, log analytics, OpenTelemetry or AIOps
· Experience at an AI-native company, or building agents and LLM-based features
· Experience with multitenant SaaS and per-tenant isolation
Who you are
· Humble, smart, and you care about people
· You have experience working remotely and leading remote teams
· You make the people around you better, and you share the work and the credit
· You're comfortable when the problem isn't fully defined, and you help define it
· You turn small, messy things into big, solid ones
· You care about the people who run what you build
Why join us
You'll work on real scale problems with real customers. You'll have room to shape the architecture and the direction of a product that matters. And you'll join a team that values clear thinking, honest feedback, and shipping.
For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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