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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in cloud architecture across Azure, GCP, and AWS, with a strong focus on implementing end-to-end security and observability. Proven ability to guide digital transformation initiatives, mentor engineering teams, and translate technical requirements into strategic business outcomes.
Highest-signal resume keywords
Cloud Architecture ExpertiseKubernetes and GitOps DeliveryEnd-to-End Security ImplementationObservability Stacks ProficiencyGenerative AI Platforms Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AzureGCPAWSKubernetesGitOpsTerraformHelmCI/CD PipelinesGrafanaPrometheus
Soft Skills
Stakeholder CommunicationMentoring
Tools & Technologies
ArgoCDOpenTelemetrySSL/TLS ManagementDNS AdministrationAgentic AI Frameworks
Certifications & Qualifications
Degree in Computer ScienceDegree in Software EngineeringDegree in Information Technology
Industry Keywords
Digital TransformationMicroservicesAPI IntegrationsGovernance ControlsRisk Frameworks
Tech Stack
Tools & technologiesAWSAzureCloudDNSGoogle Cloud PlatformGrafanaKubernetesMicroservicesPrometheusTerraform
About the role
Key responsibilities & impact- Own architectural direction and delivery for major digital transformation programmes
- Align enterprise goals with target-state cloud architectures
- Guide technical direction and partner with AI engineers
- Design and build target-state cloud platforms across Azure, GCP, and AWS
- Establish enterprise container platforms using Kubernetes and GitOps delivery with ArgoCD
- Build self-service developer frameworks and landing zones using Terraform and Helm
- Architect platforms hosting and serving generative AI systems, including LLM hosting, gateways, and agentic workflows
- Guide legacy application modernisation, microservices migrations, and API integrations
- Implement end-to-end platform security, including CI/CD tooling, Kubernetes segmentation, managed identities, access controls, secrets management, and compliance engineering
- Own connectivity and network-level security, including SSL/TLS certificates, DNS zones, and secure endpoint access
- Define architectural standards, guardrails, policy-as-code, and governance controls
- Instrument platforms for observability using Grafana, Prometheus, and OpenTelemetry
- Provide architectural oversight across multidisciplinary workstreams and unblock teams directly
- Capture field learnings, codify reusable patterns and blueprints, and mentor engineers hands-on
- Translate enterprise requirements into technical roadmaps for senior stakeholders
Requirements
What you’ll need- 8–10+ years in enterprise or platform architecture, leading client-facing platform transformations
- Deep, hands-on expertise across Azure, GCP, and AWS, including landing zones, networking, IAM, cost, and governance controls
- Strong command of Kubernetes, GitOps delivery with ArgoCD, and Infrastructure as Code with Terraform and Helm
- Hands-on experience implementing end-to-end security across CI/CD, Kubernetes, landing zones, and hyperscalers
- Hands-on experience with SSL/TLS certificate management, DNS zone administration, and secure network access to endpoints
- Hands-on experience with CI/CD pipelines, Git-based workflows, and microservices/API architectures
- Practical experience with observability stacks including Grafana, Prometheus, and OpenTelemetry
- Experience with generative AI platforms, including LLM hosting, LLM gateways, and MLOps/LLMOps practices
- Strong stakeholder communication and ability to translate architecture into business outcomes
- Familiarity with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, and Semantic Kernel
- Understanding of LLM governance, data privacy, guardrails, and responsible-use controls
- Track record defining and enforcing architectural governance, security standards, and risk frameworks
- T-shaped profile with deep platform engineering and cloud architecture expertise and broad software engineering, security, and consulting knowledge
- Willingness to travel and work on customer premises as required
- Degree in Computer Science, Software Engineering, Information Technology, or a related discipline — or equivalent professional experience
Benefits
Comp & perks- Partially remote / hybrid-friendly culture
- Be Well programs supporting financial, mental, physical, and social health
- Personalized development goals and continuous feedback
- Access to cutting-edge learning opportunities
- Certifications with Microsoft, Google, and Amazon
- Coaching and hands-on development experiences
- Career-pathing tools and opportunities to develop in-demand skills