Principal Platform Engineer – DevOps/Developer Experience

Jobtailor

Deutschland

Vor Ort

EUR 120.000 - 180.000

Vollzeit

14 Tage+

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Zusammenfassung

Jobtailor is seeking a seasoned Platform Engineer to lead the design, delivery, and operation of cloud-native platform capabilities at scale. You will drive API-first interfaces, promote platform-as-a-product practices, and mentor senior engineers across cross-functional teams.

Responsibilities include shaping architecture, defining interfaces, and ensuring reliable, automated delivery with strong focus on observability and incident learning.

Qualifikationen

  • 12+ years building, automating, and operating cloud-native platforms and delivery systems at scale.
  • Experience applying full SDLC practices to platform and infra work, treating platform capabilities as production-grade software.
  • 8+ years designing and operating microservices-based systems with API design, OAuth/OIDC IAM, and IaC tooling.
  • 5+ years hands-on in Kubernetes, public cloud, CI/CD, IaC/config mgmt, and reliability tooling.
  • Ownership of production systems, including incident response and post-incident reviews, at scale.
  • Experience implementing automated testing for platform capabilities: integration/contract testing and deployment quality controls.
  • Strong written and verbal communication for engineering, product, and executive audiences.

Aufgaben

  • Lead the highest-priority initiatives: clarify approach, resolve ambiguity, and deliver high-quality results with pragmatic trade-offs.
  • Reduce cross-team friction by defining clear interfaces and enabling parallel work through strong architectural boundaries.
  • Establish and model engineering best practices: design docs, architecture reviews, code review discipline, and automated testing.
  • Promote API-first, platform-as-a-product practices to reduce bespoke integrations.
  • Create reusable platform capabilities to accelerate delivery for teams.
  • Identify and implement automation that improves operational and delivery efficiency.
  • Lead cross-cutting improvements for reliability, observability, and resilience.
  • Partner with operations to measurably improve reliability and reduce operational drag.
  • Coach senior engineers through pairing, reviews, and system-level thinking.
  • Participate in on-call rotations and contribute to post-incident learning.

Kenntnisse

Cloud platforms
Microservices design
API design
Kubernetes
CI/CD
Infrastructure as Code
Public cloud
Incident response
Automated testing
Communication

Ausbildung

Bachelor's degree in CS/Engineering

Tools

Terraform
Pulumi
Cloud-native tooling

Jobbeschreibung

Responsibilities
  • Lead the highest-priority initiatives: clarify approach, resolve ambiguity, and deliver high-quality results with pragmatic trade-offs.
  • Reduce cross-team friction by defining clear interfaces, breaking work into deliverable increments, and enabling parallel work through strong architectural boundaries.
  • Establish and model engineering best practices: design docs/RFCs, architecture reviews, code review discipline, and effective automated testing.
  • Promote API-first, “platform as a product” practices: consistent platform interfaces that reduce bespoke integrations and siloed solutions.
  • Create reusable platform capabilities (templates, modules, golden paths) that reduce reinvention and speed up delivery for teams.
  • Identify and implement automation (including agentic/AI-enabled workflows) that improves operational and delivery efficiency.
  • Lead cross-cutting improvements that enhance stability and reduce toil: observability standards, alert hygiene, incident learning loops, and resilience patterns.
  • Partner with operations and platform stakeholders to measurably improve reliability and reduce operational drag on delivery teams.
  • Coach senior and staff engineers by pairing on real work, running reviews, and teaching pragmatic system-level thinking.
  • Participate in the on-call rotation and contribute to service restoration, root-cause learning, and prevention.
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 12+ years building, automating, and operating cloud-native platforms, infrastructure, and software delivery systems at scale.
  • Experience applying full SDLC practices (design, build, test, deploy, operate) to platform and infrastructure work, treating platform capabilities as production-grade software.
  • Experience leading large-scale, cross-functional technical initiatives with measurable business and engineering outcomes.
  • 8+ years designing and operating microservices-based systems, including API design and versioning, authentication and authorization frameworks (e.g., OAuth, OIDC, IAM), and Infrastructure-as-Code (e.g., Terraform, Pulumi, or cloud-native tooling).
  • 5+ years of hands‑on experience in at least three of the following: Kubernetes and container orchestration; public cloud infrastructure (any major provider); CI/CD and deployment automation; Infrastructure-as-Code and configuration management; production operations and reliability tooling.
  • Ownership of production systems supporting business-critical workloads, including incident response, post‑incident reviews, and reliability improvements at scale.
  • Experience implementing automated testing for platform capabilities: integration testing, contract testing, infrastructure validation, and deployment quality controls.
  • Strong written and verbal communication, translating complex technical concepts for engineering, product, and executive audiences.
Core Competencies

Demonstrates expertise in leading cross-functional technical initiatives, applying full SDLC practices, and implementing automation to enhance operational efficiency. Proficient in designing and operating cloud-native platforms and microservices-based systems with a focus on reliability and performance.

Hard Skills
  • API Design and Versioning
  • Kubernetes and Container Orchestration
  • CI/CD and Deployment Automation
  • Production Operations and Reliability Tooling
  • Incident Response and Post‑Incident Reviews
  • Integration Testing
  • Contract Testing
  • Infrastructure Validation
  • Deployment Quality Controls
  • Full SDLC Practices
Soft Skills
  • Strong Written Communication
  • Strong Verbal Communication
  • Coaching and Mentoring
Industry Keywords
  • Engineering Best Practices
  • Observability Standards
  • Incident Learning Loops
  • Resilience Patterns
  • Platform as a Product
Tools & Technologies
  • Cloud Infrastructure (Any Major Provider)
  • Automated Testing Tools
  • Configuration Management Tools
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