Principal Cloud Engineer

DeepstreamtechLocation Not Available

Stellenbeschreibung:

Requirements

Strong experience with Microsoft Azure in real production environments
8+ years of hands‑on experience in Cloud / Platform Engineering roles
Ability to engage with clients, understand their needs, and design technical proposals tailored to business goals
Experience in technical presales, including demos, solutioning, and proposal writing
Capable of leading projects independently and mentoring other engineers
Proven experience designing and implementing IaaS, PaaS and cloud‑native architectures
Solid knowledge of networking, security and governance models in cloud environments
Experience with Azure DevOps (Repos, Pipelines) or similar and CI/CD practices
Strong background in Infrastructure as Code (Terraform)
Experience monitoring and operating high‑traffic, production web platforms
Familiarity with AI/ML or LLM‑based platforms in production environments
Comfortable working with Agile methodologies, Jira and Confluence
Fluent English (mandatory) — you’ll work daily with international teams and clients
(Desirable) Experience in hybrid and multi‑cloud environments (AWS / GCP)
(Desirable) Kubernetes and container orchestration knowledge
(Desirable) Experience with GitHub and GitHub Actions
(Desirable) MLOps practices (model lifecycle, deployment, monitoring, retraining)
(Desirable) Scripting skills (PowerShell, Bash, Python)
(Desirable) Software development background (Python, Go, .NET or similar)
(Desirable) Experience with observability tools (Azure Monitor, App Insights, Prometheus, Grafana, etc.)
(Desirable) A proactive mindset: autonomy, technical leadership and continuous improvement

What the job involves

As part of our international Principal Engineers team, you’ll craft tailor‑made solutions that wow our clients
We’re hunting for a passionate Principal Cloud Engineer with a solid technical background
Your mission is not just to build infrastructure — but to design, evolve and scale cloud‑native and AI‑driven platforms that are secure, resilient, and production‑ready
This role is for engineers who enjoy owning architecture decisions, working close to product and AI teams, and pushing cloud platforms to the next level
You’ll tackle the unique challenges of cloud infrastructure, working alongside a team of brilliant minds to build scalable and reliable solutions
You’ll dive into cutting‑edge projects using the latest tech to push boundaries and make an impact
Whether you prefer working from home or vibing with us at our offices, the choice is yours
AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check
Design and lead cloud architectures on Azure, covering networking, security, governance, IaaS, PaaS and serverless solutions
Ensure the technical quality of proposals, RFP responses and solution definitions within the discipline
Own the shared knowledge strategy of the Chapters, ensuring relevant content, documentation and best practices are available
Lead the mentoring framework within the Chapter, enabling senior engineers to guide practitioners at all levels
Helps to identify strong technical talent across the company that aligns with the discipline
Identify emerging trends and opportunities, validating new services, accelerators and reusable assets
Own the infrastructure of AI‑powered platforms, including conversational AI systems with: Retrieval‑Augmented Generation (RAG), Document ingestion, processing and vector search and integration with LLM providers and AI services
Build and evolve CI/CD pipelines for both application and infrastructure, following DevSecOps best practices
Develop Infrastructure as Code (Terraform) with a strong focus on reusability, scalability and maintainability
Design and operate production‑grade environments, ensuring high availability and performance, monitoring, logging and observability and cost optimization and reliability
Collaborate closely with AI, data and software teams to productionize ML/LLM solutions (MLOps mindset). Actively propose improvements and new technical approaches, contributing to architectural decisions and technical roadmaps
Work in Agile, autonomous, multidisciplinary teams, with real ownership from design to production