Senior Staff Software Engineer – Distributed Systems, Data Ingestion, Storage, Analytics

🔥 1 hour ago

🏄 California – Remote

🏄 California – Remote

💵 $171.9k - $300.8k / year

⏰ Full Time

🟠 Senior

⛓️ Blockchain Engineer

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ServiceNow

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 Post-IPO Equity on 2022-12

Enterprise • SaaS • Artificial Intelligence

ServiceNow is a platform that offers AI-powered solutions and automation for businesses to enhance productivity and streamline workflows. Its AI agents are designed to autonomously learn, reason, make decisions, and take action to transform business processes across various domains such as IT, HR, customer service, and app development. The platform enables organizations to integrate data from diverse sources, facilitating business transformation and operational efficiency. Recognized for its leadership in AI IT service management and trusted by a significant portion of the Fortune 500, ServiceNow collaborates with other global leaders like Microsoft and AWS to bring advanced AI capabilities to modernize business operations.

📋 Description

• Help shape the HLA roadmap with engineering, product, and leadership • Work directly with customers and turn feedback into actionable product and roadmap input • Set architecture direction across ingestion, storage, and query across multiple teams • Document technical viewpoints and build prototypes to validate them • Lead deep design reviews • Define reliability and efficiency standards for the HLA data path, including completeness, durability, latency, availability, tenant isolation, and unit cost • Lead storage migrations, schema changes, replay, and upgrades with little or no downtime • Set architectural boundaries and contracts for collection, ingest, storage, anomaly detection, query, and AIOps teams • Evaluate AI ideas against customer value, data quality, reliability, and cost • Run experiments to determine what to scale • Set quality, on-call, and incident-learning standards • Mentor senior engineers and tech leads • Help develop future technical leaders • Partner with engineering and product leadership

🎯 Requirements

• Experience leveraging or critically thinking about integrating AI into work processes, decision making, or problem solving • 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 Kafka, Pulsar, or Kinesis • Experience with columnar stores, time-series databases, Elasticsearch/OpenSearch, or object-storage designs • Record of changing the direction of teams not directly owned • Evidence-based judgment on AI, including safeguards for correctness, safety, and cost • Good judgment on consistency, latency, cost, and operational burden tradeoffs • Comfort with Kubernetes and cloud infrastructure at scale • Fluency in at least one of Go, Java, Scala, Rust, or Python • Ability to prototype, conduct deep reviews, and write code when needed • Clear communication of complex designs to technical and executive audiences • Experience working remotely and leading remote teams • Nice to have: background in observability, log analytics, OpenTelemetry, or AIOps • Nice to have: experience at an AI-native company or building agents and LLM-based features • Nice to have: experience with multitenant SaaS and per-tenant isolation

🏖️ Benefits

• Equity (when applicable) • Variable/incentive compensation • Health plans • Flexible spending accounts • 401(k) Plan with company match • ESPP • Matching donations • Flexible time away plan • Family leave programs • Remote work flexibility

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