Senior Platform Engineer

GetInData | Part of Xebia is a leading data company working for international Clients, delivering innovative projects related to Data, AI, Cloud, Analytics, ML/LLM, and GenAI. The company was founded in 2014 by data engineers and today brings together 120 Data & AI experts. Our Clients are both fast-growing scaleups and large corporations that are industry leaders. In 2022, we joined forces with Xebia Group to broaden our horizons and bring new international opportunities.

What about the projects we work with?
We run a variety of projects in which our sweepmasters can excel. Advanced Analytics, Data Platforms, Streaming Analytics Platforms, Machine Learning Models, Generative AI and more. We like working with top technologies and open-source solutions for Data & AI and ML/AI. In our portfolio, you can find Clients from many industries, e.g., media, e-commerce, retail, fintech, banking, and telcos, such as Truecaller, Spotify, ING, Acast, Volt, Play, and Allegro. You can read some customer stories here.

What else do we do besides working on projects?
We conduct many initiatives like Guilds and Labs and other knowledge-sharing initiatives. We build a community around Data & AI, thanks to our conference Big Data Technology Warsaw Summit, meetup Warsaw Data Tech Talks, Radio Data podcast, and DATA Pill newsletter.

Data & AI projects that we run and the company's philosophy of sharing knowledge and ideas in this field make GetInData | Part of Xebia not only a great place to work but also a place that provides you with a real opportunity to boost your career.

If you want to be up to date with the latest news from us, please follow up on our LinkedIn profile.

About role

Platform Engineers design, build, and maintain core infrastructure supporting various software applications and services. Collaborating across diverse teams, including software developers, data engineers, IT operations, and network engineers, they ensure platform stability, scalability, and performance. Their responsibilities encompass constructing and deploying servers, databases, and networks using advanced technologies and industry standards. Additionally, they monitor and troubleshoot issues and actively contribute to capacity planning, security assessments, and disaster recovery to ensure reliability. Continuous improvement through staying updated on industry trends is vital. Proficiency in problem-solving, communication, and collaboration is key to success in this role.

Responsibilities

• Collaborating with Data Engineers on evaluating and selecting appropriate technologies and tools for the project
• Setting up and configuring the development, production, and other required environments
• Defining and implementing security measures according to best practices
• Ensuring compliance with industry standards and regulations
• Documenting operational aspects of platforms
• Conducting training and knowledge-sharing

• Azure infrastructure management for AI workloads (VMs, GPU instances, Virtual Networks, Azure AI Search, OpenAI, Azure ML)
• CI/CD pipelines for deploying AI models and services (Azure DevOps)
• Proficiency in scripting for automation (PowerShell, Python)
• Containerization and orchestration for AI applications (Docker, Kubernetes, AKS with GPU support)
• Infrastructure as Code (Bicep, Terraform)
• Monitoring and logging (Azure Monitor, Application Insights, Log Analytics for AI model performance)
• Previous AI experience (e.g., RAG application development) is a plus

• Salary: 150 - 185 PLN net + VAT/h B2B (depending on knowledge and experience)

• 100% remote work

• Flexible working hours

• Possibility to work from the office located in the heart of Warsaw

• Opportunity to learn and develop with the best Big Data experts

• International projects

• Possibility of conducting workshops and training

• Certifications

• Co-financing sport card

• Co-financing health care

• All equipment needed for work