Who can apply for the Senior Staff MLE (kubernetes Operators) role at Servicenow?

The listing asks for Bachelor's degree; freshers are welcome.

What skills does the Senior Staff MLE (kubernetes Operators) role require?

The listing highlights Kubernetes Operators, Machine Learning Engineering. Show each of these in a project or past role on your resume.

What is the salary for this role?

Servicenow has not stated compensation in the listing. Check the original posting or ask during the application process.

Is the Senior Staff MLE (kubernetes Operators) position remote, hybrid or onsite?

The listing marks this role as onsite, with Hyderabad, in as the location.

What is the application deadline?

Servicenow has not listed a fixed deadline, so apply early in case the opening is filled.

How do I apply for the Senior Staff MLE (kubernetes Operators) role?

Use the Apply button on this page. It opens the original listing on jobs.smartrecruiters.com, where you submit your application with the company.

SmartRecruiters · Posted 26 Oct 2026

full-time

Top Company

Senior Staff MLE (kubernetes Operators)

Servicenow · Hyderabad, in

Servicenow is a company operating in the enterprise cloud computing and digital workflow space. As a Senior Staff Machine Learning Engineer focused on Kubernetes Operators, this role involves architecting and maintaining the infrastructure required to deploy and manage machine learning models at scale. The position centers on the intersection of MLOps and cloud-native technologies, requiring deep expertise in automating the lifecycle of ML services within a Kubernetes environment. Day-to-day responsibilities likely include designing custom operators to streamline model deployment, optimizing resource orchestration for compute-intensive workloads, and ensuring high availability and scalability of ML pipelines. This role is well-suited for a highly experienced engineer with a strong background in distributed systems, container orchestration, and the integration of machine learning workflows into production-grade infrastructure. Candidates should possess a deep understanding of the Kubernetes API, controller patterns, and the complexities of managing large-scale data science environments in a cloud-native ecosystem.

kubernetes operatorsmachine learning engineeringmlopsdistributed systemscloud infrastructuresenior staff engineercontainer orchestrationml pipelines

Education

Level: Bachelor's degree

Software DevelopmentOnsite

Key Skills

Kubernetes OperatorsMachine Learning Engineering

About the Role Senior Staff MLE (kubernetes Operators) at Servicenow in Hyderabad.

Skills for this role

Kubernetes OperatorsMachine Learning Engineering

Required skills

Kubernetes OperatorsMachine Learning Engineering

Also mentioned in the listing

mlopsdistributed systemscloud infrastructuresenior staff engineercontainer orchestrationml pipelines

Role	Senior Staff MLE (kubernetes Operators)
Company	Servicenow
Location	Hyderabad, in
Type	full-time
Compensation	Not disclosed
Posted	2026-10-26
Deadline	Rolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

1ApplicationSubmit your resume through the apply link.
2ScreeningRecruiter reviews your background against the role.
3AssessmentA technical test, assignment, or coding round, depending on the role.
4Interview(s)One or more rounds with the hiring team.
5OfferOffer letter with compensation and start date.

Before you apply

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