HM Meeting Notes:
- 6 month contractor with the potential to extend
- Fully remote
- Open to contract (no work sponsorship) and contract to perm talent
- Shortlisting the top 10 resumes for HM to review
- Interview process: 1 round with HM and two Engineers
Screening Questions to Ask Candidates:
- Do they have hands-on experience building Infrastructure-as-Code (IaC) using tools such as Terraform or ARM/Bicep (other options may be acceptable).
- Has any of their own Cloud infrastructure work been deployed to a production environment and used by a business.
- Has the candidate used DevOps to deploy Cloud infrastructure (will likely be yes if first bullet is yes).
- Have they used AI to make their job more efficient and/or increase quality.
Job Description:
Mid-Level Engineer – Cloud Engineering and Enablement
What you’ll do
The Cloud Engineering and Enablement team is a key part of orchestrating the global digital transformation of the organization. We partner with our business facing teams, capture strategy, assess the current state capabilities, establish future state needs, and utilize Cloud, DevOps, and Infrastructure-as-Code Automation to power the business capabilities of the organization.
As part of the Cloud Engineering and Enablement team, we are looking for a solution-focused Mid-Level Engineer on the Cloud Delivery team. This Mid-Level Engineer will design, implement, and optimize scalable cloud solutions, while driving standards and engineering excellence across the platform. This role is responsible for delivering medium to complex cloud workloads, leading technical initiatives, and continuously improving platform capabilities. This role will report to the Manager of Engineering for Cloud Delivery.
What you’ll need
Our team is looking for people with a passion for technology, intellectual curiosity, and willingness to try new things to drive better solutions and get results. We want creative people who possess strong interpersonal skills, are intellectually curious, and enjoy delivering solutions that will empower our business with enterprise-grade Cloud technologies and solutions.
The ideal candidate will
- Design and deliver scalable Azure PaaS and IaaS solutions using Infrastructure as Code (IaC)
- Lead implementation of medium to complex cloud solutions and drive architectural alignment with enterprise standards
- Provide guidance to engineers across the team from a technical perspective
- Partner with stakeholders to translate business needs into resilient cloud designs
- Leverage DevOps, AI automation, and Agile best practices
- Identify and implement improvements in reliability, performance, security, and cost optimization
- Influence and help define platform standards, patterns, and reusable modules
Minimum Required Experience
- 5-10 years’ experience in public cloud, with strong knowledge of cloud architecture and design principles
- Deep experience with Azure (PaaS and IaaS solutions), including networking, identity, and platform services
- Strong hands-on experience with Infrastructure-as-Code (Terraform) and modular design
- Experience designing and implementing scalable, highly available, and secure cloud solutions
- Proficiency with CI/CD pipelines (Azure DevOps) and DevOps practices
- Strong understanding of identity and access management, governance, and policy enforcement (e.g., Azure Policy)
- Agile Scrum experience
- Experience reviewing architecture, setting standards, and ensuring alignment with best practices
- Advanced troubleshooting skills across deployments, infrastructure, and cloud services
- Ability to lead technical efforts, manage priorities, and deliver across multiple initiatives
- Strong communication skills with the ability to influence stakeholders and collaborate across teams
Great to Have (Preferences)
- Experience with container platforms (Docker, Kubernetes, Helm, AKS)
- Experience with API management, REST services, and integration patterns
- Experience implementing policy-as-code, governance frameworks, and guardrails
- Experience with scripting and automation (PowerShell, Python, Bash)
- Experience with cost optimization, observability, and operational excellence practice
Experience integrating AI-driven automation (e.g., copilots, AIOps, or intelligent monitoring) to improve efficiency and reliability