Platform Engineer

AppLovin

1d•Remote

About The Position

Wurl is seeking a Platform Engineer to help design and operate the systems that power our ad-serving and streaming platforms. You’ll build and evolve 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 playing a key role in enabling our engineers to deliver world-class video and advertising experiences.

Requirements

Established experience operating high-throughput, low-latency distributed systems in cloud production environments, ideally in Platform, SRE, or DevOps roles.
Strong 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)
Skilled in designing 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).
Ability to measure, analyze, and tune performance to achieve optimal cost and latency targets.

Nice To Haves

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

Responsibilities

Design and maintain composable IaC (CDK or Terraform) patterns for Cloud Infrastructure (EKS).
Implement composable, idempotent, multi-environment GitOps workflows.
Optimize scalability and cost-per-performance using metrics-driven automation and autoscaling technologies such as Karpenter.
Develop and maintain observability across the platform using Prometheus, Grafana, and distributed tracing.
Collaborate with application teams to define SLIs/SLOs and capacity models for mission-critical services.
Lead or participate in production incident response, postmortems, and reliability reviews.
Create and operate resilient CI/CD pipelines for safe, rapid deployments and rollbacks.
Champion automation, low-toil operations, and a culture of continuous improvement.