Cloud Engineer developing and maintaining AWS cloud architecture for S&P Global's automotive data insights. Collaborating in an agile team environment while focusing on cloud technology and innovation.
About the role
- Cloud Architect leading AWS migration and designing cloud solutions for media workloads at Hawk-Eye Innovations. Collaborative role with cross-functional teams and architecture oversight responsibilities.
Responsibilities
- Lead the end-to-end migration of our media workloads to AWS
- Contribute, define and implement cloud architecture solutions
- Design, implement, and optimise scalable, secure, and cost-effective infrastructure solutions
- Work closely with stakeholders to establish requirements and create innovative cloud solutions that meet the required architectural scope
- Provide oversight and architectural leadership to drive consistency and maturity of cloud solutions across Hawk-Eye
- Collaborate with cross-functional teams to ensure seamless integration and interoperability of our cloud solutions
- Share cloud knowledge and best practices with colleagues, and mentor team members as needed
Requirements
- Demonstrable experience leading successful AWS migration projects and projects from architecture through to deployment
- Experience in cloud architecture with AWS or other cloud providers using core services such as compute, storage, databases and serverless (e.g. EC2, S3, RDS, DynamoDB, Lambda, etc.)
- The ability to weigh up multiple solutions to a problem against different priorities, e.g. security, performance, maintenance, cost and time
- A broad technology background and the ability to articulate architecture approaches and decisions to technical and non-technical audiences alike
- Strong communication (both written and verbal), collaboration, and problem-solving skills
- Experience in sports technology or media or data-driven industries
- Experience of Security, GDPR and PII data handling principles
- Experience with containerization technologies (e.g., Docker, Kubernetes)
- Proficiency in one of the following areas: data engineering tools and technologies (Java, SQL, ETL, etc.), software development design and deployment background for live video or data processing solutions
- Familiarity and experience with implementing and designing solutions with data processing (ETL), machine learning and data analytics tools
- Experience with automation, CI/CD, and configuration management tools (e.g. Terraform, CloudFormation, Jenkins)
- Knowledge of networking, security, and IAM best practices
- Knowledge of other cloud platforms (e.g., Azure, GCP)
- Cloud Certified Solutions Architect - Minimum Associate certified (AWS, GCP, etc)
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