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Anaplan

Cloud-based SaaS planning and performance management

DevOps Engineer 3

Platform EngineeringConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Mastery of Go, Rust, or C++ alongside expert-level Python and Bash for deep systems automation.
  • Deep understanding of Linux kernel tuning, eBPF (Extended Berkeley Packet Filter), service mesh internals including Istio and Cilium, and BGP routing.
  • Real-world intuition for Raft and Paxos algorithms, global database replication lag, and CAP theorem trade-offs at scale.
  • CKA certification and AWS or GCP Professional Architect or Security Specialty certification are expected baseline qualifications.

Responsibilities

  • Design and code custom Kubernetes controllers, mutating admission webhooks, and operators in Python, Go, or Rust.
  • Engineer automated chaos engineering frameworks that continuously inject failures into multi-region active-active production topologies.
  • Programmatically optimize micro-architecture CPU pinning, eBPF network routing, and spot-instance arbitrage to reduce cloud waste.
  • Embed immutable security, real-time eBPF runtime auditing, and automated cryptographic attestation into core CI/CD release loops.
  • Architect, scale, and automate the multi-cloud computing fabric powering millions of requests per second.

About the Company

Anaplan

Cloud-based SaaS planning and performance management

Anaplan provides a cloud-based SaaS platform for enterprise-wide planning and performance management that helps finance, supply chain, sales, marketing, and HR teams improve planning and decision making. Users connect data sources, build models and scenarios, run forecasts, and collaborate in real time within a scalable subscription model, with optional professional services for training and implementation. Unlike tools that tackle planning in silos, Anaplan offers a single connected platform that links data, people, and plans across multiple business functions. Its goal is to help organizations optimize operations and make data-driven decisions at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2006

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