Cloud Platform Engineer
hace 2 meses
Responsibilities:
Collaborate with business stakeholders to understand the product requirements and translate them into scalable and resilient cloud architectures. Collaborate closely with Data Engineering, Data Science and Software Development teams to contribute to the design of the cloud solutions for our products. End-to-end implementation of the optimized and secure cloud-based/cloud-native architecture. Develop and document cloud architecture designs, ensuring alignment with industry best practices. Provide expertise in cloud and platform engineering to the Product Data team, ensuring alignment with the company's strategic goals. Contribution to the selection and integration of cloud-based vendors, tools and frameworks. Keep up with emerging trends in cloud engineering and introduce new technologies or practices that can benefit the organization. Implement security measures to safeguard cloud environments, including identity and access management, encryption, and compliance controls. Conduct regular security assessments and address vulnerabilities promptly. Monitor and optimize cloud infrastructure for performance, cost, and reliability. Implement performance tuning strategies to enhance overall system efficiency. Continuous improvement and innovation for cloud and platform engineering. Implement and manage the provisioning of cloud resources based on project requirements. Responsible for the maintenance and support of cloud-based and cloud-native architecture including access controls, security and networking. Configure and fine-tune cloud infrastructure components for optimal performance. Perform audits and assessments of cloud environments to ensure compliance with security and regulatory standards. Provide recommendations for continuous improvement and adherence to best practices. Lead the deployment of applications onto our cloud platform, ensuring seamless integration and functionality. Manage and monitor cloud applications to maintain performance, availability, and scalability.
Qualifications:
2-5 years of proven experience as a Platform Engineer or similar role in designing, implementing, and managing cloud architectures. Expertise in constructing, installing, and maintaining large-scale cloud-native and cloud-based architecture. Database management expertise: Postgres, Snowflake, Lucene-based search engines (Apache Solr/AWS OpenSearch/Elastic Search) Cloud-Native tooling expertise: Amazon S3, AWS EMR, Amazon EC2 Amazon RDS, Amazon Sagemaker, Amazon ECS, Amazon ECR, Amazon VPC, Amazon IAM (*alternatives from other cloud providers are acceptable) Cloud-based Application tooling: Databricks administration Strong communication in English. Ability to communicate technical concepts to non-technical audience. Cloud Certifications from Cloud providers (AWS. GCP, Azure) Experience with Streaming Technologies such as Apache Kafka and AWS Kinesis Experience Productionizing ML based cloud solutions. #LI-RT9Edelman Data & Intelligence (DXI) is a global, multidisciplinary research, analytics and data consultancy with a distinctly human mission.We use data and intelligence to help businesses and organizations build trusting relationships with people: making communications more authentic, engagement more exciting and connections more meaningful.DXI brings together and integrates the necessary people-based PR, communications, social, research and exogenous data, as well as the technology infrastructure to create, collect, store and manage first-party data and identity resolution. DXI is comprised of over 350 research specialists, business scientists, data engineers, behavioral and machine-learning experts, and data strategy consultants based in 15 markets around the world.To learn more, visit: We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t perfectly align with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.-
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