Experience level: Associate
Experience required: 5 Years
Education level: Bachelor’s degree
Job function: Information Technology
Industry: Entertainment
Total position: 1
Relocation assistance: No
Visa: Only US citizens and Green card holders
Looking for a Cloud engineer, developer, or architect:
Job Summary
The Cloud Cost Optimization Engineer reports into the Cloud Cost Management (Cloud FinOps) team. The team is responsible for overseeing the global and multi cloud footprint for client with a critical mission focused on promoting, governing, and implementing economical consumption. The Cloud Cost Optimization Engineer will partner with architects and engineers to advise on architecture and resource optimization, waste management, capacity management, KPI development and maintenance, and tagging and alerts enhancements
Responsibilities:
The Cloud Cost Optimization Engineer will be a critical member of the team working directly with our cloud clients, leadership, and vendors:
Monitor cloud consumption in various accounts and projects to mitigate waste and to determine areas of resource efficiency
Work with account owners and engineers on an ongoing basis to advise on cloud resource setup in light of operational and financial trade-offs
Comprehend complex architectural diagrams for new and existing projects to derive cost impact and advise on the cost mechanics and alternatives of the various cloud services
Recommend savings opportunities related to cloud commitment purchases (Reserved Instances, Savings Plans, Spot, Committed/Sustained Usage…etc)
Track utilization of cloud reservation/savings plans and work with teams to re-purpose freed up capacity
Evaluate and investigate data patterns and anomalies to derive insightful knowledge that can inform strategic and operational decisions
Leverage the cloud CMDB and other tools to advise on strategies for resource mapping, tagging, and maturity
Analyze cloud services and deployed resources volume to inform contractual negotiations relating service discounts and commitment levels
Participate in building, maturing, and governing Cost Optimization policies and best practices
Act as subject matter expert in advising on new and existing cloud services and resources across cloud vendors
Participate in automating, integrating, and maturing the Cloud FinOps team’s processes and data
Qualifications:
Deep expertise in the core cloud services architecture and cost mechanics (Compute, containers, database, serverless, storage…etc)
Advanced understanding of AWS cloud platform, Cost Explorer, Cost and Usage report, and services
Knowledge of GCP cloud platform, console, and services
Experience in DevOps/SRE practices such as CI/CD, IaC, and expertise with Linux and Windows stacks
Experience in cost management tactics such as enterprise wide discount programs and commitment plans (Reserved Instances, Savings Plans, Spot, Sustained Use/Committed Use Discounts…)
Successful implementation of cost optimization strategies related to storage lifecycle configuration, compute rightsizing, reduction of idle or underutilized resources, snapshot cleanups, …etc
Experience in navigating and managing cloud CMDB
Experience with 3rd party cloud optimization tools and in utilizing data from monitoring tools to advise on optimization opportunities (New Relic, Splunk, CloudWatch…etc)
Experience with developing scripts via Python (other languages might be applicable) to implement automated cost optimization control policies
Ability to connect various services using related product APIs
Self-driven and able to work across functionally diverse teams (technical and non-technical)
Strong written, verbal, and interpersonal communication skills
Ability to operate successfully in a lean, agile, and fast-paced organization
Team player with a transformation mindset
+3 years of relevant work experience in a large multi-million cloud environment
+5 years’ experience working as a cloud engineer, developer, or architect
Possess an AWS Solutions Architect certification, or ability to attain within 6 months is required
Preferred Skills:
Past experience in working as a cost optimization engineer with successful track record in delivering substantial efficiencies and savings
Deep knowledge of Kubernetes, Serverless technologies, Elemental Media Services (Live, Connect, Package, and Convert)
Record of transitioning workloads from serverfull to serverless architecture
DevOps experience using Terraform
Past experience working for a large Media company or familiarity with the Media value chain
Experience with implementing a successful tag governance process
Knowledge of Azure cloud platforms, consoles, and services
Knowledge of CDN services and providers such as Akamai, AWS Cloudfront, Google Cloud CDN, and Fastly
BS degree in Computer Science or equivalent; MS preferred