Sr Staff Software Engineer (Distributed Systems | Data Ingestion | Storage | Analytics) - Remote

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. Were building an AI-native culture where technology and talent are unstoppable together. Join us to put AI to work for people.
Health Log Analytics (HLA) ingests, stores, and analyzes the logs that power ServiceNows 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. As data volume, customer needs, and AI-driven use cases grow, we need the platform to get more reliable, more efficient, and more useful.
Were looking for a senior technical leader to help set where HLA goes next. Youll work side by side with engineering and product leadership on the roadmap. Youll set the technical bar for experienced engineers. Help shape the HLA roadmap with engineering, product, and leadership. Work directly with customers to make sure HLA keeps delivering value as their needs change. Write down your point of view, then build a prototype that helps others see it and get behind it.
That includes AI ideas with no evidence behind them, and timelines or designs that dont fit todays constraints. Define the reliability and efficiency bar for the HLA data path: completeness, durability, latency, availability, tenant isolation, and unit cost.
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. 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. Broad grounding across data ingestion, storage and query, and AI on top of data. Experience with ingest tools like Kafka, Pulsar, or Kinesis, and with columnar stores, time-series databases, Elasticsearch/OpenSearch, or object-storage designs
~ Evidence-based judgment on AI. You’ve shipped with it, or you’re a strong proponent with a clear point of view.
~ Comfort with Kubernetes and cloud infrastructure at scale
~ Fluency in at least one of Go, Java, Scala, Rust, or Python. Experience at an AI-native company, or building agents and LLM-based features
You have experience working remotely and leading remote teams
Youre comfortable when the problem isnt fully defined, and you help define it
Youll work on real scale problems with real customers. And youll 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. 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. 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.

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Flexible