Cloud Architect
hace 4 semanas
About the Role:
A Senior Cloud Engineer is responsible for designing, implementing, and managing cloud infrastructure and services to align with organizational goals and technical requirements. This role involves developing cloud architecture strategies, deploying and managing cloud-based solutions, and automating processes to streamline operations. Ensuring the security and compliance of cloud environments is crucial, as is optimizing performance for efficiency and cost-effectiveness.
A Day in this Role:
- Provide technical leadership across multiple teams, from different business units, guiding architectural decisions and ensuring adherence to best practices.
- Architect, build, document, and maintain Cloud standards and processes.
- Collaborate extensively with centralized architecture, engaging in deep collaboration to align cloud strategies with enterprise architecture principles and standards.
- Lead projects and new application implementations.
- Create new Terraform architecture and modules to provision AWS resources.
- Guide teams on best practices in the cloud.
- Provide mentorship and training to junior and senior engineers, sharing knowledge and experience in cloud technologies, system-wide architectural design, and best practices.
- Lead project management activities, including decomposing work into manageable tasks, coordinating with stakeholders, and tracking progress.
- Demonstrate expertise in Kubernetes, including cluster management, deployment strategies, and best practices for container orchestration.
- Work with Software Development teams to write and tune their application Helm charts for EKS.
- Create, manage, and administrate Kubernetes running on EKS.
- Possess advanced skills in AWS, including advanced networking, security, and optimization techniques, and stay current with new AWS services and features.
- Create and modify Jenkins pipelines to support CI and automation.
- Performance Engineering, load testing, hotspot isolation, and remediation.
- POC new solutions and production in the cloud.
- Configure APM, SLO, SLA, and alerting via Dynatrace.
- Configure log metrics and analysis via Splunk.
- Build and manage CI deployment process for all environments.
- Support and enable teams to migrate from on-prem environments into AWS.
The Expertise Requested:
- Expert-level experience and understanding of Terraform.
- Expert-level diagraming and explaining complex or complicated systems.
- Expert-level experience with AWS services, including EC2, ASG, SG, ALB/NLB/WAF, ACL, Routing, Route53, Express Connect/Transit Gateway, EC2 Image Builder, EKS, ECS, ECR, Lambda.
- Experienced in AWS database technologies.
- Experienced using Git-based CI/CD pipelines.
- Experienced in utilizing various infrastructure and dependency discovery tools/agents.
- Experienced writing Jenkins files and Jenkins Shared Libraries.
- Expert-level with EKS creation and administration.
- Expert-level with Kubernetes application deployment and management.
- Experienced writing and maintaining custom application Helm charts and Helm template libraries.
- Expert-level written and oral communication skills.
- Expert-level scripting in languages such as PowerShell, Bash, Python, Perl, and/or GoLang.
Desired or Nice to Have Expertise:
- AWS big data services.
- Explaining and presenting complex to complicated technical matters to technical and non-technical people.
- Strong ability to decompose large complex bodies of work into actionable stories for others to engage and execute.
- Ability to communicate to both technical and executive-level people on problem and opportunity things and progress towards goals.
- Experience with leading application migrations into the cloud according to best practices, standards, and cloud-native architecture.
- You are passionate about building and running distributed systems at scale in production. You understand the challenges and trade-offs to be made when building and deploying systems to production.
- Create automation for anything that is repeatable and can be automated.
- Expertise in working with container deployment and orchestration technologies at scale with strong knowledge of the fundamentals to include service discovery, deployments, monitoring, scheduling, load balancing.
- Knowledge of best practices related to security, performance, and high availability.
- Highly skilled in identifying performance bottlenecks, identifying anomalous system behavior, and determining the root cause of incidents.
- Experience working with APM and log aggregation tools as well as configuring the integrations and monitoring needed to leverage these tools.
- You've demonstrated the ability to effectively work collaboratively across functions and communicate between many different teams.
- Interest in designing, analyzing, and troubleshooting large-scale distributed systems.
- Systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.
- Ability to debug and optimize code and automate routine tasks.
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