CloudZero Logo

CloudZero

Senior Platform Engineer

Posted 29 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
170K-200K Annually
Senior level
Hybrid
San Francisco, CA, USA
170K-200K Annually
Senior level
Own and scale CloudZero’s Kafka and Kubernetes platforms, including Amazon EKS operations, reliability, monitoring, governance, and performance tuning. Build Infrastructure as Code, GitOps, and CI/CD workflows using tools such as Terraform and GitHub Actions. Partner with software engineers to improve application reliability and developer experience, automate infrastructure, and support production systems through on-call responsibilities.
The summary above was generated by AI
About the Role

CloudZero is growing fast. Our customer base is expanding, the data challenges we're solving are getting more complex, and the platform is scaling to match. As we look to the next evolution of CloudZero's infrastructure, we're looking for a Senior Platform Engineer who can help shape what comes next.

You'll own our core messaging and container orchestration platforms, bringing deep technical expertise to decisions that will shape how we build, scale, and operate our infrastructure. You'll have the autonomy to identify opportunities, determine the right solutions, and drive improvements in reliability, performance, and developer experience. Rather than simply maintaining what exists today, you'll help define the foundations our engineering organization will rely on as we continue to grow.

In this role, you'll lead the operations, scaling, and tuning of our Kafka clusters and Kubernetes environments. Because we leverage Amazon EKS, you won't be bogged down with from-scratch control plane management. Instead, you'll focus on optimizing performance, implementing GitOps best practices, and empowering our engineering teams to ship code and process data seamlessly.

What You'll Do
  • Administer and optimize our Amazon EKS environments, handling cluster scaling, node group management, namespace provisioning, and overall container resilience

  • Lead the operations and reliability of our Kafka platform, including deployment, scaling, and topic governance, and define the SLOs for availability and latency

  • Implement comprehensive monitoring, logging, and alerting for both Kafka and Kubernetes using Sumo Logic to catch bottlenecks before they impact the business

  • Partner closely with software engineering teams to help them design reliable, scalable applications that effectively leverage Kubernetes and Kafka

  • Manage our cloud environments using Infrastructure as Code (e.g., Terraform, CloudFormation, Pulumi) integrated seamlessly with our GitHub Actions workflows

  • Build and maintain our CI/CD pipelines and infrastructure deployments using GitHub Actions, ensuring all configuration changes are version-controlled, automated, and predictable

  • On call experience

What You Bring
  • A proven track record running containerized workloads in production. Strong experience with any Kubernetes environment is great, whether that's EKS, GKE, AKS, or self-hosted

  • Familiarity with core cloud infrastructure concepts (compute, networking, IAM). While we operate on AWS, strong experience with any major cloud provider (GCP, Azure, etc.) is perfectly fine

  • Solid experience with Terraform, CloudFormation, or similar Infrastructure as Code tools to manage infrastructure predictably

  • Ability to write automation and tooling in Python, Go, or Node, and Bash

  • Some experience designing and operating GitOps workflows using GitHub Actions or something similar

Nice to Have
  • Production Kafka experience, with a deep understanding of Kafka architecture, broker configuration, topic management, replication, and troubleshooting in high-throughput environments

  • Experience with Kafka ecosystem tools (Kafka Connect, Schema Registry, ksqlDB)

  • Experience writing custom GitHub Actions or composite actions

  • Experience running stateful workloads and data infrastructure on Kubernetes

  • Passion for Developer Experience (DevEx) and optimizing CI/CD workflows to improve engineering velocity

About CloudZero
CloudZero is the AI ROI Company. We built the financial control plane for AI: the system finance, IT, and engineering use to connect every AI dollar to the outcome it produced. Across every provider. In real time.
AI spend is the fastest-growing line on enterprise P&Ls and the least understood. Only 14% of CFOs can prove AI ROI today. CloudZero answers the question no one else can: what did it cost to produce this outcome, for this customer, on this model.
The largest cloud spenders on the planet already run on CloudZero, including Coinbase, Duolingo, DoorDash, and Shutterstock. We processed 14 trillion billing events in the last twelve months. We're the first listed partner on Anthropic's cost and usage API. We've raised over $119 million, including a $56 million Series C backed by leading venture capital firms.

Why Join Our Team?
At CloudZero, you’ll find a collaborative, fast-moving environment where your work makes a direct impact. We’re a team that values ownership, creativity, and curiosity — and we’re tackling some of the most complex challenges in the cloud space. If you’re excited by working with cutting-edge technology, driving meaningful outcomes, and growing with a company that’s scaling fast, we’d love to hear from you!

Similar Jobs

7 Days Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.
Top Skills: Ai TechnologiesApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform
8 Days Ago
Easy Apply
Hybrid
Easy Apply
148K-222K Annually
Senior level
148K-222K Annually
Senior level
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Build and scale core ML platform infrastructure for model training, deployment, feature storage, real-time retrieval, inference, and monitoring. Lead architecture and technical execution, write production backend code, conduct design and code reviews, mentor engineers, improve reliability and cost efficiency, and partner with ML, product, data science, infrastructure, and security teams on platform strategy and roadmap.
Top Skills: SparkAWSGoJavaKubernetesPythonRay DataRay JobsRay TuneScala
10 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
200K-350K Annually
Senior level
200K-350K Annually
Senior level
Fintech • Software • Financial Services
Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.
Top Skills: Llm ApisModel ServingPostgresReactReact NativeRustTokioTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account