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)
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