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Constructor

SaaS search and product discovery platform

Platform Engineer: Platform Enablement

Platform EngineeringConfirmed live in the last 24 hours
Full-timeMunich, Germany$80k - $120k

About the Job

Requirements

  • More than 5 years of professional experience in SRE or DevOps roles, with a clear emphasis on enabling developer success.
  • Strong interpersonal skills and empathy for the challenges faced by software developers.
  • Expertise in AWS and Kubernetes environments, and mastery of Infrastructure as Code using Terraform or similar frameworks.
  • Practical experience managing monitoring stacks and deployment pipelines at scale.
  • Ability to build automated, reusable systems that favor self-service over manual intervention.
  • Experience integrating AI tools into engineering methodology to improve productivity.

Responsibilities

  • Manage and advance the internal observability ecosystem, including Grafana, VictoriaMetrics, and OpenSearch, to help teams troubleshoot their own workloads.
  • Enhance CI/CD workflows and developer utilities using Jenkins and GitHub Actions to optimize the build and deployment lifecycle.
  • Guide adoption of Kubernetes and establish standardized patterns for deploying workloads.
  • Collaborate with engineering teams to resolve technical bottlenecks and build custom tooling when existing solutions fall short.
  • Contribute to the development and maintenance of the Internal Developer Platform based on Backstage.
  • Develop and support specialized tooling for AI-driven initiatives.

Desired Qualifications

  • Familiarity with ClickHouse, Sentry, or developer portals such as Backstage.
  • Understanding of FinOps principles and strategies for optimizing infrastructure expenditure.
  • Previous involvement in constructing or scaling internal developer platforms.

About the Company

Constructor

SaaS search and product discovery platform

Constructor.io provides a SaaS search and product discovery platform for ecommerce. It helps large ecommerce brands personalize online experiences and improve key metrics by using customer clickstream data and transformer-based machine learning models to understand and predict user behavior. The platform is API-first, headless, and composable, so it can plug into a company’s existing systems and workflows. It is designed to reduce manual merchandising tasks and empower ecommerce teams to act more strategically and quickly. Unlike many competitors, it emphasizes enterprise-grade integration, strong customer success through dedicated managers, training, performance reviews, and live support, and a subscription-based model that ensures ongoing support and updates. The goal is to help clients optimize digital merchandising, personalize customer experiences, and boost business KPIs such as conversion, revenue, and efficiency.

Company size
1,001-5,000
Company stage
Series B
Total funding
$86.1M
Headquarters
San Francisco, CA
Founded
2015

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