Manager, Cloud Engineer - AI and Automation

ROLE SUMMARY
We are seeking a highly skilled and experienced Cloud Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining our cloud infrastructure. You will work closely with our development and operations teams to ensure the reliability, scalability, and security of our cloud-based services.
ROLE RESPONSIBILITIES

• Design and Implement Cloud Solutions: Develop and deploy scalable, reliable, and secure cloud architectures using industry best practices.
• Infrastructure Management: Maintain and manage cloud environments, ensuring optimal performance and cost-efficiency.
• Automation: Develop automation scripts to streamline deployment, management, and monitoring of cloud resources.
• Security: Implement and enforce security best practices to safeguard our cloud infrastructure and data.
• Collaboration: Work closely with development, operations, and security teams to ensure seamless integration and continuous improvement of our cloud services.
• Troubleshooting: Identify and resolve technical issues related to cloud infrastructure and services.
• Documentation: Maintain comprehensive documentation of cloud infrastructure, configurations, and processes.
• Stay Current: Continuously research and stay up-to-date with the latest trends and advancements in cloud technology.

BASIC QUALIFICATIONS

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in cloud engineering or a similar role.
• Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of cloud architecture principles and best practices.
• Experience with infrastructure-as-code tools such as Terraform or Cloud Formation.
• Proficiency in scripting languages like Python, Bash, or PowerShell.
• Proficiency in scripting Airflow DAGs
• Solid understanding of networking concepts and protocols.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and teamwork abilities.

PREFERRED QUALIFICATIONS

• Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala.
• Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.
• ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.
• Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.
• Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.
• AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices
• Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.
• Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.
• Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.
• Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.
• Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.

Please apply by sending your CV and a motivational letter in English.
Work Location Assignment: Hybrid
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let's start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms - allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
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