Lead Cloud Platform Engineer at Spyrosoft

Wrocław, Lower Silesian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

175.0

Posted On

16 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, AWS, Terraform, GitLab CI, ArgoCD, Helm, Grafana Cloud, Python, Java, Node.js, Go, GitOps, SLO/SLI Design, Platform Engineering, Stakeholder Management, Identity & Access Management

Industry

IT Services and IT Consulting

Description

Tech stack: Kubernetes (multi-tenant, production-scale environments) Cloud platforms: AWS (primary), Azure and GCP Infrastructure as Code: Terraform (primary) CI/CD & GitOps: GitLab CI, ArgoCD, Helm Observability: Grafana Cloud (LGTM stack – logs, metrics, traces) Languages (working level): Python, Java (Spring Boot), Node.js, Go Requirements: Proven experience owning a platform as a product, including roadmap definition, prioritization, and deprecation decisions Strong hands-on expertise with Kubernetes, GitOps, and IaC (Terraform preferred) Experience designing and operating multi-tenant Kubernetes platforms at organizational scale Deep understanding of cloud infrastructure, primarily AWS, with exposure to Azure and/or GCP Practical experience with SLO/SLI design, error budgets, and reliability engineering practices Strong experience building reusable platform patterns replacing bespoke engineering solutions Knowledge of platform security: identity & access management, isolation, policy/admission controls Experience working with managed services and defining SLAs / vendor accountability Ability to drive adoption of platform solutions through influence, not authority Strong stakeholder management and communication skills (including executive-level) Fluent English (spoken and written) Nice to have: Experience with AI-assisted SDLC and agent-based developer workflows Background in platform engineering for large-scale enterprise environments Exposure to multiple programming languages and ability to debug production systems Experience defining machine-readable system models (service catalogs, ownership structures) Familiarity with progressive delivery, feature flags, and safe rollout practices Experienced in using AI tools in day-to-day workflow Project description: On behalf of a leading international manufacturer of premium kitchen and household appliances, the company is building an AI-ready internal platform designed to streamline and standardize software delivery across the organization. The goal is to create an environment where “the right path is the easy path,” enabling engineering teams to deliver software quickly, safely, and consistently. This role is highly strategic and product-oriented, focused on shaping the platform vision, defining best practices, and enabling hundreds of developers (and increasingly AI agents) to deploy production-ready solutions with minimal friction. Main responsibilities: Design and own end-to-end platform “golden paths” from repository to production runtime Drive the transition from infrastructure provisioning to intent-driven platform automation Collaborate with Security, QA, Architecture, and Operations teams to define scalable guardrails and standards Define and maintain a machine-readable system model (services, components, APIs, ownership) Improve developer experience through platform adoption metrics and continuous optimization Reduce operational risk via SLO-driven delivery, safe deployments, and clear system boundaries Act as a technical leader and trusted advisor for platform-related initiatives Influence platform direction, strategy, and roadmap across engineering and leadership stakeholders

Responsibilities

Design and own end-to-end platform golden paths and intent-driven automation to streamline software delivery. Act as a technical leader to define scalable guardrails, system models, and platform strategy across the organization.