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Principal Cloud Platform / DevOps Engineer Experience: Not Available to Not Available years Location: POL - Warsaw, Przyokopowa Skills: AWS, Python, Bash, CloudFormation, Terraform, SAM, Docker, Kubernetes, CI/CD, Github Actions About this role Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day. Were innovators with impact. We provide expert software and information solutions that the worlds leading professionals rely on, in the moments that matter most. Youll make a real difference in the lives of millions of people. Together with our customers, we help to advance sustainability, health, justice, prosperity, and commerce around the world. You can thrive at Wolters Kluwer, where diversity is core to our collective strength and high performance. Be your unique self, share your creative ideas, do your best work, and take time to grow in our caring and inclusive culture where you can belong. Our team is building a central GenAI Platform to empower hundreds of product teams across the organization with scalable capabilities for rapid development, validation, and deployment of AI agents. We also drive the development of the most impactful AI agents, ensuring faster delivery and greater impact across multiple domains. With over 20 agents already launched and many more in progress, our work accelerates innovation and improves outcomes in critical industries. You'll join a 100-engineer team within a larger organization that combines the stability of an established company with the agility of a startup. In this high-autonomy, high-impact role, you'll take problems from concept to production, mentor less experienced engineers, and lead by example. Responsibilities Design and maintain a self-service platform covering the full SDLC Build and operate CI/CD pipelines using Github Actions or similar tools Implement Infrastructure as Code using CloudFormation, Terraform, SAM Integrate AWS serverless and PaaS services Promote best practices for cloud usage, automation, and platform reliability Monitor platform performance, availability, and security Continuously improve tooling and developer experience Requirements Production experience in cloud platform engineering (AWS-focused) Holding one of the following certifications: AWS: Solutions Architect - Professional validates advanced skills in designing complex, multi-tier solutions and optimizing security and cost. Azure: Solutions Architect Expert (AZ-305) requires passing the Associate-level AZ-104 first. It focuses on enterprise-level design, including identity and governance. GCP: Professional Cloud Architect assesses your ability to design and manage robust, secure, and scalable cloud solutions. Strong Python and Bash programming skills Deep experience with AWS services and IaC CI/CD pipeline design and maintenance experience Familiarity with Docker and Kubernetes Solid troubleshooting and cross-team communication skills Ability to pass a live coding interview Preferred Experience with large-scale, global platforms Familiarity with Azure Stages 15minute intro screen 2 live coding in your preferred language 1 systems design 1 presentation of past work Timeline: Typically 24 weeks Your first months Month 1: Deep-dive into one platform component most aligned with your expertise; ship small improvements while ramping up. After onboarding: Well align on a high-impact area that fits your strengths and ambitions. To apply: Please submit your resume along with a brief cover letter that includes a Statement of Exceptional Work. In your cover letter, highlight one of your most impactful projects by addressing the following: Your role and the problem space you were working in The technical and product challenges you faced, and how you addressed them The measurable impact of your work (e.g., metrics, outcomes, improvements) This will help us better understand your approach to solving complex problems and the value you bring to the team. Please do not include any proprietary or confidential information in your submission Be the Difference If making a difference matters to you, then you matter to us. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure were getting to know younot a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.