What You'll Do
Independently operate and support large-scale Kubernetes clusters across custom data centers and public clouds (AWS, GCP, OCI), owning their availability, health, and lifecycle
Serve as a primary responder for platform incidents during India hours — diagnosing complex node, networking, DNS, storage, and control-plane issues, driving them to resolution, and handing off cleanly across time zones
Plan and execute cluster upgrades, add-on rollouts, and capacity changes end to end, including risk assessment, testing, and rollback planning
Improve the reliability of the platform: identify recurring issues and technical debt, propose fixes, and see them through
Design, build, and improve monitoring, alerting, and dashboards with Prometheus, Thanos, Alertmanager, and Grafana so problems are caught before customers notice
Develop automation and tooling in Go to eliminate toil, and contribute to Kubernetes controllers and operators used by the team
Evaluate open-source tools and Kubernetes add-ons and help integrate them into existing workflows
Use AI technologies to streamline operational workflows, accelerate troubleshooting, and improve decision-making
Write design docs, runbooks, and post-incident reviews that are clear to engineers, on-call responders, and stakeholders
Mentor Engineer I and II team members through pairing, code review, and design review, and take part in interviewing new team members
What You'll Need
5+ years of experience in infrastructure, systems, or platform engineering, including 3+ years operating production Kubernetes clusters at scale
Strong understanding of Kubernetes internals and operations: control plane (API server, etcd, scheduler), kubelet and container runtime, networking/CNI, DNS, storage, and upgrades
Experience with Prometheus, Thanos, Alertmanager, and Grafana
Proficiency in Go; Python a plus
Experience with large-scale, business-critical Linux environments
Experience operating in at least one public cloud (AWS, GCP, or OCI) and in on-premises or custom data centers
Experience with infrastructure as code and deployment tooling (e.g., Terraform, Ansible, Helm, GitOps) and version control with git
Familiarity and ability to manage on-call shifts [aligned to India business hours]
Demonstrated experience using AI technologies to enhance decision-making, streamline workflows and processes, and improve efficiency
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Bonus Points
Experience writing Kubernetes operators or controllers
Experience operating Kubernetes on bare metal
Experience deploying microservices
Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
Experience mentoring or onboarding other engineers
Proven ability to work effectively with both local and remote teams across time zones
Rock solid communication skills, verbal and written
A combination of confidence and independence…with the prudence to know when to ask for help from the rest of the team
Bachelor's degree in an applicable field, such as CS, CIS, or Engineering
#LI-VJ1
Benefits of Working at CrowdStrike
Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.
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