Azure Platform Engineer

Family Description

Information Technology (IT) acts as an internal function the developing, running, and maintaining of the IT systems and platforms Nokia is running on. Develops and maintains applications to meet the business needs of the organisation. Covers the performance and monitoring of day-to-day database and system activities as well as the provision of remote support to users regarding hardware and software problems.

Subfamily Description

IT Advancement & Design (ITA) comprises further development of information technologies and IT platforms for business solutions and services. Covers driving of proactive needs analysis ensuring that business needs, demands and challenges are well understood, and that business execution plans and capabilities are delivered on time and within budget. Contains management of demands and priorities while assuring alignment with the corporate strategy and budget. Comprises optimisation, harmonisation, and implementation of Nokia's IT environment and systems by providing area specific knowledge. Covers representation of the whole IT organisation to global or regional business stakeholders and user communities. Works closely with the different service providers that are part of the IT eco-system, governs their performance, and acts as main interface between IT and the business including incident escalations. Comprises identification of opportunities for process and concept development as well as improvements. Covers planning and managing of the development, testing, and implementation of process / concept improvements and system changes at own responsibility area. Contains translation of requirements into system terminology and functionality as well as the delivery of process and system end-user training.

 

Key Responsibilities:

• Develop and maintain automation scripts using Python and Terraform for Infrastructure as Code (IaC).
• Design, build, and deploy machine learning models using Azure Machine Learning Workspace.
• Preprocess and analyze data, perform feature engineering, and create data visualizations.
• Implement and manage big data solutions using Azure Databricks.
• Utilize version control systems, preferably Azure DevOps, for managing code and machine learning pipelines.
• Work with Azure Synapse Analytics for data warehousing and exploration.
• Deploy and scale machine learning models using Azure Kubernetes Service (AKS).
• Monitor and log machine learning pipelines and models using Azure Monitor.
• Collaborate with cross-functional teams to ensure seamless integration and deployment of machine learning solutions.
• Stay updated with the latest trends and advancements in cloud computing and machine learning technologies.

Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Overall 5-9 years of work experience in Python development.
• Proven experience as an Azure Platform Engineer or in a similar role.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Preferably Certified Cloud Developer/Architect in Azure
• Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems
• Work with an Agile mindset to create value across projects of multiple scopes and scale
• Excellent communication skill – oral, written, presenting, creation of report outs etc.
• Solution seeker, diligent with detail orientation
• Positive approach

Azure Stack (Desirable):

• Azure Synapse Analytics: Experience with a unified analytics platform for data warehousing, data exploration, and machine learning.
• Azure Machine Learning (AML): Proficiency in a comprehensive platform for building, training, deploying, and managing machine learning models.
• Azure Databricks: Experience with a fully managed Apache Spark-based analytics platform for data engineering and machine learning.
• Azure Kubernetes Service (AKS): Experience with a managed Kubernetes service for deploying and scaling machine learning models.
• Azure DevOps: Experience with a platform for continuous integration and continuous delivery (CI/CD) of machine learning models.
• Azure Storage: Knowledge of various storage options for data, models, and artifacts.
• Azure Monitor: Experience in monitoring and logging machine learning pipelines and models.

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.