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Staff Software Engineer - Infrastructure,Kubernetes

ServiceNow · Posted Oct 13

Cloud-based workflow automation and artificial intelligence platform services

Hyderabad, IndiaFull-timeHybridLead/Staff8+ years₹55.0L–₹95.0L yearly37 applicants
Software DevelopmentCloud ComputingArtificial IntelligenceWorkflow AutomationSaaSPublic Company
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About the role

The Telemetry Data Platform team carries product usage telemetry for the entire ServiceNow platform on a stack built with Kubernetes, Kafka, and ClickHouse, with the team distributed across Israel, India, and the Americas. This is a full stack staff engineer (IC4) role weighted toward infrastructure, covering telemetry infrastructure, data pipelines, Kubernetes and DevOps, along with the services and product surfaces on top. The role also owns backend services and APIs that expose telemetry to internal consumers, product surfaces, and AI agents, and includes leading design of complex multi-service features and production on-call ownership.

What you will do

  • Design, build, and own backend services for distributed data streaming and processing that handle high-volume, high-cardinality event data with predictable latency and no silent data loss.
  • Build and maintain Kafka-based streaming pipelines and the pipeline components that feed ClickHouse.
  • Own data modeling and query performance in ClickHouse — partitioning, sort keys, materialized views, retention, and the cost curve that comes with all of it.
  • Partner with product and platform teams to shape requirements for telemetry ingestion and processing, then drive the solutions to production.
  • Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back.
  • Own observability for what you build — meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise.
  • Debug and resolve production incidents independently, participate in on-call, run root-cause analysis, and operate against defined service level objectives.
  • Own the full development lifecycle for your work, and build the backend services and APIs that expose telemetry to internal consumers, product surfaces, and AI agents — including API contracts, data models, and schema migrations.
  • Contribute to the analytics front end — dashboards, funnels, and exploration tools — with an eye on performance against large result sets, and improve the web and mobile capture SDKs.
  • Lead the design of complex, multi-service features across team boundaries, drive decisions to closure, and write the design docs and postmortems that outlive the conversation.
  • Raise the bar through code review, test strategy, and automation coverage, and mentor engineers on the team.

Skills used in this role

JavaPythonGoKubernetesHelmCI/CDKafkaClickHouseSQLJavaScriptTypeScriptReactAngularOpenTelemetryFlinkSparkGitHub CopilotCursorLLM APIsRAGMCPDistributed SystemsObservabilityData PipelinesIncident Response

What the employer is looking for

  • 8+ years of Backend software engineering experience
  • 4+ years of Designing and operating distributed systems
  • 3+ years Kubernetes in production, including Helm and CI/CD
  • 3+ years Kafka or equivalent streaming and data pipelines
  • 3+ years On-call and production ownership
  • Bachelor’s degree in computer science, software engineering, or a closely related technical field
  • A master’s degree may offset up to one year of the experience minimum. Equivalent practical experience is considered where technical depth is clearly demonstrable.
  • Strong backend development experience in Java, Python, Go or equivalent, used in production at scale.
  • Hands-on experience building distributed systems for data streaming, processing, and storage.
  • Production experience deploying and managing services on Kubernetes, including Helm and CI/CD pipelines.
  • Working knowledge of Kafka or an equivalent messaging and streaming system.
  • Solid SQL skills and hands-on experience with a columnar or analytical data store, including query optimization and physical data modeling.
  • Demonstrated depth in incident responseand customer escalations
  • Enough front-end capability to build and debug a data-heavy interface: JavaScript or TypeScript with React or Angular.
  • Confident use of AI coding assistants such as GitHub Copilot or Cursor, paired with the critical eye to review AI-generated code as rigorously as any other — catching logic errors, security anti-patterns, and missed edge cases rather than treating model output as production-ready.
  • AI-assisted debugging and trace analysis, and a clear understanding of the data privacy rules governing what goes into a prompt.
  • Integrating LLM APIs into production features — and knowing when a model is the wrong tool for the job. Working knowledge of RAG pipelines, embedding stores, and agent frameworks; familiarity with the Model Context Protocol is a plus.
  • Exposing telemetry to AI agents through tool interfaces agents can use safely: predictable schemas, bounded results, clear error semantics, sane cost controls.
  • Designing safeguards for non-deterministic components — retry logic, circuit breakers, human-in-the-loop checkpoints — and hardening against latency spikes and hallucinated output reaching a customer.
  • Instrumenting AI features in production and judging their quality from telemetry and evaluation rather than impressions.

Preferred qualifications

  • Production experience with ClickHouse or another OLAP or columnar store — sharding, replication, materialized views, cost tuning.
  • Exposure to observability tooling: OpenTelemetry, metrics and logging stacks, alerting platforms.
  • Experience building product analytics or telemetry platforms, or with stream processing frameworks such as Flink or Spark.
  • Client-side instrumentation — web or mobile SDK development, event capture, session and consent handling.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About ServiceNow

ServiceNow logo

ServiceNow

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ServiceNow provides an end-to-end cloud-based platform and workflow automation solutions that help enterprises digitize and unify operations. Its platform leverages artificial intelligence and machine learning to streamline IT service management, customer service, and business processes.

Industry
Software Development
Company size
10001+ employees
Founded
2004
Location
Santa Clara, California, USA
Funding stage
Public Company

Funding

Public Company · $4.08B raised

Sequoia CapitalJMI EquityGreylockFoundation Capital
  • 2026-04-17Post IPO Debt$4.00B

Leadership

BM
Bill McDermott

Chairman and Chief Executive Officer

GM
Gina Mastantuono

President and Chief Financial Officer

AZ
Amit Zavery

President, Chief Product Officer and Chief Operating Officer

PC
Pat Casey

Chief Technology Officer and EVP, DevOps

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