Senior Platform Engineer

Anaplan; Manchester; On-site; GBP 90,000 - 130,000; Full time

Job summary

Anaplan is seeking a Senior Platform Engineer in the UK to craft the next generation of the Anaplan Platform. You will build platforms as products, focusing on UX, reliability, and debt reduction while extending Kubernetes APIs and writing production-grade operators.

The role demands deep expertise in Go, Java11, Rust, and distributed systems. Expect to work on high-concurrency, low-latency systems across multi-cloud environments, with an emphasis on observability using OpenTelemetry,

Qualifications

• Extensive experience building production SaaS platforms.
• Expertise in Kubernetes and cloud-native architectures.
• Proficiency in Go, Java11, Rust, and memory-efficient code.
• Experience with observability and telemetry (OpenTelemetry, Prometheus, Grafana).
• Strong problem solver with distributed systems background.

Responsibilities

• Design and build scalable platform components; extend Kubernetes APIs.
• Develop operators and control plane logic for complex lifecycles.
• Ensure observability, reliability, and performance at scale.
• Collaborate with internal teams to deliver product-like platforms.

Skills

GoLang

Java11

Kotlin

Rust

Python

Distributed systems

SRE practices

High-scale SaaS

Education

BS degree in Computer Science or related field

Tools

Kubebuilder

Operator SDK

Kubernetes

Docker

Rancher

Prometheus

Grafana

OpenTelemetry

Jenkins

ArgoCD

AWS

GCP

Azure

S3

NFS

Job description

• As a Senior Platform Engineer, you'll be crafting and helping build the next generation of the Anaplan Platform


• You'll engineer new platforms as products, not just operate existing infrastructure. You understand user experience, reliability, and technical debt from shipping production systems


• You'll design platforms that are extensible, observable, and maintainable, enabling internal teams to build on top of them while handling the complexity underneath


• You don't just write Helm charts or YAML manifests; you extend the Kubernetes API


• Custom Operators: Proven ability to write Kubernetes Operators (using Kubebuilder or Operator SDK) to manage complex, stateful application lifecycles


• Control Plane Logic: Deep understanding of reconciliation loops, custom resource definitions (CRDs), and how to automate operational knowledge into code


• You build for high concurrency, low latency, and eventual consistency


• High-Scale SaaS: 10+ years of experience building and operating production-grade SaaS products. You have first-hand experience with the \"death by a thousand cuts\" that


• Comes with scaling to millions of requests


• Systems Programming: Advanced proficiency in Go, Rust, or JVM-based languages, with a focus on writing memory-efficient and thread-safe code


• Deep-Tier Cloud Storage & Persistence


• You understand the physics of data


• Storage Internals: We need more than S3 API knowledge. You should understand the performance characteristics, limitations, and cost-drivers of S3, NFS, and enterprise


• Storage like NetApp OnTap or AWS FSx


• Data Locality: Experience managing data persistence across hybrid environments (Public Cloud vs. Private DC)


• Operational Maturity (The \"SRE\" DNA)


• You believe that \"if it isn't monitored, it doesn't exist.\")


• Instrumentation: Expert-level experience with OpenTelemetry. You don't just look at metrics; you design the telemetry that allows for deep-dive distributed tracing and root-cause analysis


• Observability Infrastructure: Hands-on experience scaling Prometheus and Grafana to handle high-cardinality data


• Technologies you'll work with:


• Programming languages: GoLang, Java11, Kotlin, Rust, Python


• Storage & Persistence: S3, NFS


• Container and Orchestration: Kubernetes/Containers (Docker)/Rancher RKE


• Cloud providers: AWS, GCP, Azure, Private Data Centers


• Observability/Telemetry: OpenTelemetry, Prometheus, Grafana


• Deployment: Jenkins, ArgoCD

Bonus: Experience with AI/ML, Natural Language Distributed Systems and programming techniques You're comfortable with both full-stack systems design for the hybrid cloud as well as hands-on distributed systems programming with extensive knowledge of Java, JVM, Rust, Linux internals and container orchestration Substantial experience in Java, RUST programming experience Are you a creative problem solver who can both give and receive feedback? Do you lead with inclusion, collaboration, and openness? Do you have strong experience with high-scale B2B and B2C platforms? BS degree in Computer Science, related technical field, or equivalent practical experience as a professional Platform Engineer Monitoring and metrics infrastructure (OTEL, Prometheus, Grafana) Proven experience in building and operating a SaaS product at scale Experience with cloud storage S3, NFS, NetApp OnTap, AWS FSX Cloud (AWS / GCP/ Azure / Private DC) Proven cloud experience using observability and operating workloads in Kubernetes