[All remote jobs](https://jobicy.com/jobs.md)[![Wurl logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/11/64fbf796b5d3-221.webp)](https://jobicy.com/company/wurl.md)[Wurl](https://jobicy.com/company/wurl.md)

# Staff Platform Engineer

AI Summary Wurl is hiring a Staff Platform Engineer to lead the infrastructure foundation for high-throughput, low-latency streaming and ad-serving systems. The role owns scalable Kubernetes-based platform capabilities, infrastructure as code, GitOps workflows, observability, CI/CD, and production reliability practices. This senior technical leader will define engineering standards, improve cost-performance efficiency, lead incident response, and mentor other engineers. The environment emphasizes AWS, EKS, Terraform or CDK, Prometheus, Grafana, Kafka, and distributed systems operating at very large request volumes.[Apply for this job](#job-application)[View company](https://jobicy.com/company/wurl.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 191k–252k / yrDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished13 Nov 2026Apply before13 Dec 2026Listing views40Application actions4Application toolkit

## Make your next move.

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Opportunity details

## About this role.

About [Wurl](https://jobicy.com/company/wurl.md), LLC.

At Wurl, our mission is to create innovative technologies and services that help accelerate the shift to streaming. At our core, we are innovators focused on driving the streaming industry forward with technologies that help connect viewers to the right content and ads. Our technology and data-driven solutions help companies reach new audiences, engage high-value viewers, and ultimately increase their revenue.

In 2022, Wurl was acquired by AppLovin (Nasdaq: APP), a leading marketing platform, giving our employees the best of both worlds: the dynamic environment of a 150+ person startup as well as the stability of a high-growth public tech company. We invest in providing a culture that fosters passion, drives excellence, and encourages collaboration to drive innovation. Wurl is a fully-remote company that has been globally recognized for our people and technology, having been named a Great Place to Work by Fortune in 2022, 2023, and 2024; an Ad Tech Company of the Year finalist by the UK Business Tech Awards in 2023; a BIG Innovation Awards winner in 2024 and 2025; and the “Innovation in Advertising” winner by the StreamTV Awards in 2024.

Staff Platform Engineer:

Wurl is seeking a Staff Platform Engineer to build and operate the systems that power our ad-serving and streaming platforms. You’ll be the key technical leader driving the vision and evolution of the infrastructure foundation that enables our teams to deploy, scale, and observe high-throughput, low-latency workloads serving hundreds of thousands of requests per second.

You’ll own the platform layer, ensuring it’s reliable, cost-efficient, and measurable, while enabling multiple engineering teams to deliver world-class video and advertising experiences.

### Responsibilities

### Platform Infrastructure & Automation

* Define, architect, and set standards for composable IaC (CDK or Terraform) patterns for Cloud Infrastructure (EKS).
* Drive the adoption and implement composable, idempotent, multi-environment GitOps workflows.
* Optimize scalability and cost-per-performance using metrics-driven automation and autoscaling technologies such as Karpenter.

### Observability & Reliability

* Develop and maintain observability across the platform using Prometheus, Grafana, and distributed tracing.
* Lead cross-functional efforts with application teams to define SLOs and capacity models for mission-critical services.
* Lead major production incident response efforts, drive blameless postmortems, and mentor other engineers on production incident response, postmortems, and reliability reviews.

### Delivery & Culture

* Create and operate resilient CI/CD pipelines for safe, rapid deployments and rollbacks.
* Champion automation, low-toil operations, and a culture of continuous improvement.
* Develop agentic workflows utilizing the team-wide context layer and operational data to accelerate development without compromising reliability.
* Act as a technical leader and mentor to elevate the team, with a strong ability to listen, evaluate, and give constructive feedback on ideas.

### Requirements

### Core Experience

* Demonstrated expertise in architecting, deploying, and maintaining high-throughput, low-latency distributed systems in cloud production environments, ideally in Platform, SRE, or DevOps roles. Prior ownership of a stateful deployment
* Deep expertise in systems-level coding skills for automation and systems development (Go, Python, or TypeScript).
* Proven experience operating Kubernetes at scale (EKS preferred) and applying IaC patterns (CDK, Terraform).
* Working knowledge of GitOps and reconciliation loops in Kubernetes controllers.
* Solid experience with CI/CD systems (GitHub Actions, AWS CodePipeline)

### Operational Excellence

* Expert in defining, designing, and optimizing global monitoring and alerting pipelines (PromQL, metrics correlation, alert noise reduction).
* Experience with large-scale streaming or ad-serving workloads, including HTTP-based delivery (oRTB, VAST), event streaming (Kafka), and AWS network architecture (VPC, load balancers, peering)
* Understanding of cloud security best practices (IAM, encryption, network segmentation, zero trust).
* Proven ability to conduct deep performance analysis, tuning, and optimization across the entire infrastructure stack to achieve optimal cost-per-performance and latency targets.

A Plus if you have:

* Experience with advanced GitOps patterns using Github Workflows.
* Exposure to extended observability tools such as Loki or Tempo
* Experience designing or operating distributed, high-throughput stateful data pipelines to ensure reliable, scalable, and cost-efficient data flow.

What We Offer:

* Competitive Salary & Bonus
* Strong Medical, Dental and Vision Benefits, 100% paid by Wurl
* Remote first policy
* Flexible Time Off
* 10 US Holidays
* 401(k) Matching
* Pre-Tax Savings Plans, HSA & FSA
* Ginger, Aaptiv and Headspace subscriptions for mental and physical wellness
* OneMedical subscription for 24/7 convenient medical care
* Paid Maternity and Parental Leave for all family additions
* Discounted PetPlan and easy at home access to Covid testing with empowerDX

Few companies allow you to thrive like you will at Wurl. Join us to revolutionize the way the world watches television while enjoying mentorship, collaboration, and innovation.

We encourage all applicants, even those who don’t meet 100% of the requirements, to apply. Passion and potential go a long way here at Wurl.

AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.

Health Insurance: Medical, Dental, Vision, Life, Disability

Retirement Benefits: 401(k) Retirement Plan

Paid Time Off: Unlimited Discretionary Time Off

Paid Holidays: 10 paid holidays per year

Paid Sick Leave: 80 hours per year

Method of Application: Apply online

Application Window: The application window is expected to close within 30 days of the posting date.

All questions or concerns about this posting should be directed to [peopleops@applovin.com](mailto:peopleops@applovin.com).

USA Base Pay Range: CA, NY, WA States

$214,000—$252,000 USD

USA Base Pay Range: all other States (excludes CA, NY, WA)

$191,000—$225,000 USD

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant [here](https://www.eeoc.gov/employers/eeo-law-poster).

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more [here](https://calcivilrights.ca.gov/fair-chance-act/).

Please read our [Global Applicant Privacy Notice](https://www.applovin.com/global-applicant-privacy-notice/) to learn more about how AppLovin processes your personal information.

Show more

[Apply now >](https://jobicy.com/jobs/161903-staff-platform-engineer-4.md)

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![Upload CV](data:image/svg+xml;base64,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)

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a staff-level platform engineering position responsible for technically complex, mission-critical distributed systems at substantial scale. Success requires deep hands-on infrastructure expertise as well as cross-functional technical leadership, operational ownership, and mentoring.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$221,500US market range (per year)$190k–$260k0$286k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses US base-pay ranges of $191,000–$225,000 for most states and $214,000–$252,000 for California, New York, and Washington. The annual cadence is inferred from the stated US senior-level base-pay amounts and role context because the posting does not explicitly state a pay period. A reasonable US market estimate for a Staff Platform Engineer with this scope is $190,000–$260,000 per year, excluding bonus and equity.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Platform Engineering](https://jobicy.com/jobs?search_keywords=Platform%20Engineering.md)[Site Reliability Engineering](https://jobicy.com/jobs?search_keywords=Site%20Reliability%20Engineering.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Amazon EKS](https://jobicy.com/jobs?search_keywords=Amazon%20EKS.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[AWS CDK](https://jobicy.com/jobs?search_keywords=AWS%20CDK.md)[GitOps](https://jobicy.com/jobs?search_keywords=GitOps.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Prometheus](https://jobicy.com/jobs?search_keywords=Prometheus.md)[Grafana](https://jobicy.com/jobs?search_keywords=Grafana.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[AWS Networking](https://jobicy.com/jobs?search_keywords=AWS%20Networking.md)[Kafka](https://jobicy.com/jobs?search_keywords=Kafka.md)[Incident Response](https://jobicy.com/jobs?search_keywords=Incident%20Response.md)

Sample interview questionsHow would you design a Kubernetes platform for high-throughput, low-latency ad-serving workloads?I would begin with clear workload SLOs, capacity assumptions, and failure-domain requirements. I would use multi-AZ EKS clusters, carefully defined resource requests and limits, autoscaling through HPA and Karpenter, and resilient ingress and load-balancing patterns. I would also establish platform observability, safe deployment controls, and regular load testing to validate latency, throughput, and recovery behavior.

Describe how you have used infrastructure as code to improve platform consistency and delivery speed.

I have used reusable Terraform or CDK modules to standardize networking, IAM, Kubernetes clusters, observability, and application dependencies across environments. Modules are versioned, reviewed through pull requests, validated in CI, and deployed through controlled GitOps workflows. This reduces configuration drift, makes changes auditable, and enables teams to provision reliable environments faster.

How do you reduce alert fatigue while maintaining effective production monitoring?

I start by linking alerts to user-impacting SLOs and defining actionable ownership for each alert. I remove symptom duplication, use aggregation and appropriate time windows, and distinguish paging alerts from informational notifications. After incidents, I review alert performance and tune thresholds, labels, routing, and runbooks using observed operational data.

What approach would you take after a major production incident involving elevated latency?

I would first coordinate incident response, stabilize the service, and communicate impact and status clearly. I would use dashboards, traces, logs, and recent deployment history to isolate likely bottlenecks across application, Kubernetes, network, and dependency layers. Once restored, I would facilitate a blameless postmortem that identifies contributing factors, assigns durable corrective actions, and improves detection and recovery procedures.

How would you balance cloud cost optimization with reliability and performance requirements?

I would make cost decisions from workload metrics rather than blanket reductions. This includes right-sizing resources, improving autoscaling behavior, selecting appropriate storage and compute classes, and measuring cost per request or workload unit alongside latency and error budgets. Any optimization would be tested against defined SLOs so that lower spend does not compromise availability or customer experience.

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