In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate:
Must-Have Qualifications
• Extensive experience in cloud application architecture: Proven ability to design, implement, and manage secure, scalable, and resilient cloud applications. This includes demonstrated capability in designing cloud-native applications and developing scalable front-end, backend, and data-layer components.
• Expertise in full-stack cloud-native application development: Skilled in designing comprehensive application solutions spanning both front-end and back-end, with flexibility across programming languages. Demonstrated proficiency with deployment automation tools, ensuring efficient and reliable application delivery.
• Experience with cloud-native container orchestration: Proficiency in Kubernetes, Docker, or similar platforms for managing distributed workloads.
• Strong understanding of cloud security and governance: Familiarity with IAM, encryption, and secure design principles.
• Proficiency in designing and managing cloud-based data pipelines: Experience with tools such as Apache Airflow, AWS Glue, Azure Data Factory, or equivalent.
• Mastery of software development lifecycle (SDLC) and DevSecOps practices: Demonstrated ability to lead projects through planning, development, testing, deployment, and maintenance phases.
• Strong communication and stakeholder engagement skills: Ability to translate complex technical concepts into clear, actionable insights for executive leadership and cross-functional teams both in verbal and written.
• Leadership in cross-functional technical teams: Proven track record of guiding diverse teams through architecture decisions, risk assessments, and strategic planning.
Desirable Qualifications
• Experience with cloud cost optimization and financial modeling: Ability to design cost-efficient architectures and forecast cloud spend across programs.
• Knowledge of CI/CD pipelines and automation frameworks: Experience with GitHub Actions, Jenkins, GitLab CI, or similar tools.
• Experience with monitoring and observability tools: Familiarity with Prometheus, Grafana, CloudWatch, or equivalent.
• Advanced scripting and automation skills: Proficiency in Python, Bash, or Terraform for infrastructure automation and tooling.
• Cloud certifications from major providers: Certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.