Staff Machine Learning Engineer
ServiceNow1 day ago
Hyderābād, IndiaStaff+
Responsibilities
- Lead the design and delivery of complex cloud-native platform components and services through production operation.
- Act as technical lead for major features and initiatives, translating ambiguous problems into scalable designs.
- Design, code, and review Kubernetes operators, controllers, infrastructure automation, and platform services.
- Own Kubernetes platform capabilities through deployment, upgrades, reliability, and production operations.
- Identify and resolve technical risks involving scalability, operability, reliability, and engineering quality.
- Drive architectural design reviews, technical proposals, and cross-functional technical strategy.
- Mentor junior and mid-level engineers through design reviews, code reviews, and technical guidance.
- Develop scalable, fault-tolerant ingestion and transformation workflows for distributed data systems.
- Integrate AI-powered tooling, automated operational workflows, or agentic systems into platform engineering where appropriate.
Requirements
- At least 8 years of experience designing, building, and operating large-scale distributed systems and cloud-native platforms in production.
- Demonstrated experience building and operating Kubernetes platform infrastructure at scale, including managed and self-managed environments.
- Hands-on experience developing Kubernetes Operators, Admission Controllers, Controllers, Custom Resource Definitions, and platform automation using Go and tools such as Kubebuilder or Operator Framework.
- Experience with EKS, AKS, GKE, and public cloud compute, networking, security, and identity services across AWS, Azure, or GCP.
- Experience supporting cloud-native database platforms, large-scale data infrastructure, stateful services, and mission-critical distributed workloads on Kubernetes.
- Strong understanding of Kubernetes orchestration, scheduling, security, storage, networking, and workload management.
- Experience designing microservices, event-driven systems, and distributed application architectures.
- Experience owning technical initiatives from architecture and design through implementation, deployment, and operational support.
- Experience with containers, infrastructure automation, observability, reliability practices, metrics, logging, tracing, monitoring, alerting, and service-level objectives.
- Experience with Infrastructure-as-Code tools such as Terraform or Crossplane and declarative platform automation.
- Experience with distributed-system replication, fault tolerance, high availability, large-scale deployments, and operationalization in DevOps environments.
- Experience with container networking, service mesh, mTLS, workload identity, secrets management, or distributed data and compute workloads on Kubernetes is preferred.
- Familiarity with Apache Kafka, Redis, Parquet, ORC, and Avro, including high-scale clusters, data formats, compaction, and governance strategies, is preferred.
- Ability to drive technical strategy through architectural reviews, technical proposals, and cross-functional collaboration.
Benefits
- Regular employee position in the APAC region.
- Flexible work persona with work arrangements determined by role and location.
- ServiceNow provides an accessible and inclusive application experience and reasonable accommodations.
- Equal opportunity employment and consideration in accordance with applicable legal requirements.
Categories
About ServiceNow
ServiceNow builds a cloud platform for enterprise digital workflows, covering IT service management, customer service, HR service delivery, security operations, and operations management, plus tools for custom app development. It sells subscription SaaS to large organizations and public-sector agencies to automate processes and connect data across systems. Founded in 2004 and headquartered in Santa Clara, California, ServiceNow is a public company listed on the NYSE under the ticker NOW.