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Sensor Tower (now Data.ai) is seeking a Platform Engineer to enhance the infrastructure, developer tooling, and delivery workflows supporting 100+ engineers. This role combines infrastructure and software development with a 65/35 split, focusing on cloud infrastructure, deployment automation, observability, CI/CD, and internal tooling.
Key responsibilities include improving developer experience by building tools and workflows that simplify development, testing, and shipping; maintaining infrastructure automation using Ansible, Terraform, and Terragrunt; enhancing CI/CD workflow reliability and performance; diagnosing slow builds, failed pipelines, and flaky tests; developing internal tools and test infrastructure; improving observability using OpenTelemetry and ELK; and leveraging AI to enhance engineering workflows through cloud-based agent tools.
The tech stack includes AWS, Terraform, Terragrunt, Ansible, Jenkins, Docker, ELK, ClickHouse, MongoDB, PostgreSQL, and Ruby-on-Rails.
Required qualifications: experience developing and maintaining complex CI/CD workflows; software development background (internal tools, APIs, backend services, automation); AWS or equivalent cloud provider experience; telemetry and monitoring expertise (OpenTelemetry, Grafana, Kibana); strong Computer Science and System Design fundamentals; willingness to learn Ruby and/or Go.
Desirable experience includes optimizing CI build times with Jenkins, Docker or Kubernetes, Ruby/Python/JavaScript, and familiarity with build systems like Webpack or Gradle. Strong technical fundamentals, curiosity, and ability to tackle diverse engineering problems are valued over knowing every technology in the stack.
Sensor Tower is a global digital intelligence platform trusted by 2,500+ enterprises across tech, retail, entertainment, gaming, CPG, finance, and investment sectors. The company offers a flexible work environment with global teams across North America, Europe, Middle East, Africa, APAC, and LATAM.
