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Senior Staff Machine Learning Engineer

ServiceNow · Posted Oct 19

Cloud-based workflow automation and artificial intelligence platform services

Hyderabad, IndiaFull-timeHybridLead/Staff14+ years₹90.0L–₹1.5Cr yearly30 applicants
Software DevelopmentCloud ComputingArtificial IntelligenceWorkflow AutomationSaaSPublic Company
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About the role

ServiceNow’s cloud-native platform team builds and operates large-scale distributed systems, Kubernetes platform infrastructure, and related platform services. The role leads the design and delivery of complex platform components, including Kubernetes operators, controllers, and infrastructure automation. It also involves technical leadership across architecture, reliability, scalability, and mentoring engineers.

What you will do

  • Lead the design and delivery of complex components and services within the cloud-native platform, owning them from design through production operation.
  • Act as the technical lead for major features and initiatives within the team, translating ambiguous problems into clear, scalable, and executable designs.
  • Partner with Principal and Distinguished Engineers to ensure alignment with broader platform architecture, engineering standards, and long-term technical strategy.
  • Identify technical risks early and drive them to resolution, with a strong focus on reliability, scalability, operability, and engineering excellence.
  • Maintain a strong hands-on presence across the development lifecycle, including designing, coding, and reviewing core systems such as Kubernetes operators, controllers, infrastructure automation, and platform services.
  • Mentor mid-level and junior engineers while raising the engineering bar through code reviews, design reviews, technical guidance, and collaborative problem-solving.

Skills used in this role

KubernetesGoKubebuilderOperator FrameworkEKSAKSGKEAWSAzureGCPTerraformCrossplaneApache KafkaRedisParquetORCAvroCNIService MeshmTLSKubernetes OperatorsCustom Resource Definitions (CRDs)Admission ControllersCI/CDGitOps

What the employer is looking for

  • Experience leveraging or critically thinking about how to integrate AI into engineering and platform work—AI-powered tooling, automated operational workflows, agentic systems for fleet visibility and operations, or reasoning about AI’s impact on how infrastructure is built and run.
  • 14+ years of experience designing, building, and operating large-scale distributed systems and cloud-native platforms in production environments.
  • Demonstrated experience building and operating Kubernetes platform infrastructure at scale, with ownership of platform capabilities through deployment, upgrades, and production operations.
  • Hands-on developing Kubernetes Operators, Admission Controllers, or other platform extensions using Kubebuilder, Operator Framework, or similar technologies.
  • Experience operating both managed Kubernetes services (EKS, AKS, GKE) and self-managed Kubernetes environments.
  • Experience supporting cloud-native database platforms, large-scale data infrastructure, or stateful services on Kubernetes.
  • Strong software engineering expertise in Go, with hands-on experience developing Kubernetes Operators, Controllers, Custom Resource Definitions (CRDs), and platform automation capabilities.
  • Deep understanding of Kubernetes architecture, including orchestration, scheduling, security, storage, networking, and workload management.
  • Proven experience operating stateful and distributed workloads on Kubernetes, including databases, data services, or other mission-critical platform components.
  • Experience with public cloud platforms (AWS, Azure, or GCP), including compute, networking, security, and identity management services.
  • Strong background designing and building microservices, event-driven systems, and distributed application architectures.
  • Experience owning complex technical initiatives end-to-end, from architecture and design through implementation, deployment, and operational support.
  • Hands-on experience with containers, CI/CD, GitOps practices, and Infrastructure-as-Code using tools such as Terraform, Crossplane, or equivalent technologies.
  • Experience implementing observability and reliability best practices, including metrics, logging, tracing, monitoring, alerting, and service-level objectives.
  • Proven ability to drive technical strategy through architectural design reviews, technical proposals, and cross-functional collaboration.
  • Experience with large‑scale deployments of distributed systems.
  • Deep knowledge of replication, fault-tolerant, and HA strategies.
  • Experience working in DevOps environments to operationalize distributed platforms.
  • Strong expertise in designing and architecting platforms using:
  • Kubernetes (workload deployments, upgrades, monitoring and maintenance)
  • Apache Kafka (high‑scale clusters, topic/partition strategies, HA) is a plus
  • Redis (high‑scale clusters, HA) is a plus
  • Expertise in data formats such as Parquet, ORC, and Avro, along with compaction and governance strategies.
  • Ability to build scalable, fault‑tolerant ingestion and transformation workflows.

Preferred qualifications

  • Experience with container networking (CNI) and/or service mesh.
  • Experience with mTLS, workload identity, and secrets management at fleet scale.
  • Experience with observability—metrics, tracing, and SLOs.
  • Experience with Terraform, Crossplane, or similar declarative infrastructure tooling.
  • Experience designing or tuning distributed data or compute workloads on Kubernetes.

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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