Cloud Platform Engineering

Focuses on building, maintaining, and automating the infrastructure for functions & applications that support our cloud & connectivity platform.

Key responsibilities

· Independently take product design specifications and deliver well-defined design, implementation, and testable solution

· Demonstrate knowledge of multiple cloud environments and deployment methodologies

· Cultivate relationships with developers, engineers (geo-diverse teams) to understand their infrastructure needs and deliver solutions

· Provide mentorship and technical direction to associate team-members

· Evangelize cloud native best practices and methodologies

· Identify opportunities to automate processes and procedures

· Provide scalable engineering and supportability deliverables, resulting in products and services with more efficiency, lower risk, and reduced customer impact

· Identify potential security and performance issues at multiple layers of deployment, from hardware, operating environment, network and application

· Support deployment of Kubernetes infrastructure and containers hosted within cloud platforms

· Provide technical expertise in identifying issues that affect availability and quality across the software product portfolio

Experience & Skills

· 4+ years of experience with Amazon Web Services (AWS), Microsoft Azure or other Major cloud based technologies including administration and scripting of tasks

· CKA certification is a plus

· Fluency in one or more programming or scripting languages, with the ability to review and understand workflow and language. Some level of proficiency in error analysis

· Linux/Unix based machine set up for all ‘nix command line functions

· Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions

· Proficiency with Terraform, which is necessary to manage or add anything related to our infrastructure

· Proficiency with Kubernetes/containers to perform basic troubleshooting, deployment, and onboarding tasks

· Proficiency with Kubernetes internals to understand security, services, and certificate management (this is critical for effective troubleshooting)

· Proficiency with Kubernetes networking concepts

· Proficiency with DevSecOps leveraging ADO, GitHub & GitLab

· Proficiency with Python, to effectively understand and contribute to infrastructure code

· General understanding of Azure, AWS Cloud, including all managed services & offerings of the cloud service providers

· Proficiency with Datadog, as our primary platform for telemetry & operations

· Understanding of the infrastructure lifecycle, from requirements to design, to implementation, testing, environment set-up, multi-phase builds, and deployment approaches

· Understanding of Configuration Management approaches, including trade-offs involved with different solutions

· Effective experience with Cloud-based Architecture, Services, and Provisioning

· Understanding of instrumentation, logging levels, and system/software troubleshooting. Advanced understanding of Operating System components

· Advanced understanding of Operating System components

· Strong written and oral communications skills with the ability to clearly articulate complex concepts

· Excellent troubleshooting skills, with analytical, creative, and innovate approaches to solving problems with the drive to see an issue through to conclusion