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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and documenting production-ready system architectures, with a strong focus on AI/ML technologies and enterprise-grade Kubernetes environments. Proven ability to lead technical consulting engagements and translate complex requirements into actionable business outcomes.
Highest-signal resume keywords
Enterprise-Grade Kubernetes ArchitectureAI/ML Frameworks (PyTorch, TensorFlow)Technical Consulting and System DesignPython and Automation Tools (Git, Ansible, Terraform)Communication Skills (Technical and Non-Technical)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
System Architecture DesignMulti-Tenant Cluster StructuresContainer NetworkingPersistent Storage StrategiesApplication ArchitectureTechnical Scoping and DiscoveryModel Serving and Workflow OrchestrationGitOps and ObservabilityVirtualization and Bare-Metal OrchestrationSystem-Level Languages (Go, Java, Rust)
Soft Skills
Verbal CommunicationWritten CommunicationMentoring and CoachingCollaborationAdvisory Skills
Tools & Technologies
KubernetesAnsibleTerraformGitJupyter
Industry Keywords
Financial ServicesPublic SectorHealthcareTelecommunicationsManufacturing
Tech Stack
Tools & technologiesAnsibleJavaKubernetesPythonPyTorchRustTensorflowTerraformGo
About the role
Key responsibilities & impact- Design and document production-ready system architecture blueprints and reference topologies
- Account for systems-level hardening, compute/network/storage optimization, security boundaries, and multi-tier IT landscapes
- Lead technical scoping, discovery, and execution of deep-dive customer workshops
- Design custom proofs of concept and architectural walkthroughs to validate technical feasibility
- Serve as a trusted technical advisor to regional engineering teams and corporate executives
- Translate complex AI/ML requirements and technology strategies into actionable business outcomes
- Collaborate with chip manufacturers, independent software vendors, and regional system integrators on joint architectures
- Channel APAC customer feedback and infrastructure requirements into global product roadmaps
- Own technical delivery for complex strategic enterprise opportunities
- Advise senior IT and business executives on platform maturity, adoption strategies, and compliance frameworks
- Mentor and coach junior AI/ML engineering colleagues
Requirements
What you’ll need- Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related quantitative field
- Proven track record leading successful technical consulting, system design, or pre-sales architecture engagements for enterprise customers
- Exceptional verbal and written communication skills in English
- Demonstrated ability to present complex technical architectures to technical and non-technical stakeholders
- Expertise architecting and managing enterprise-grade Kubernetes or container platform environments
- Experience with multi-tenant cluster structures, container networking, and persistent storage strategies
- Strong application architecture and development foundations
- Hands-on proficiency in Python and scripting/automation tools such as Git and Ansible/Terraform
- Practical experience running, configuring, and troubleshooting AI/ML frameworks such as PyTorch, TensorFlow, or Jupyter on containerized platforms
- Experience in some target domains including model serving, workflow orchestration, model registries, ML dataset preparation, GitOps, observability, virtualization, bare-metal orchestration, GPU clustering, secure/air-gapped deployments, identity models, localized inference, or system-level languages such as Go, Java, or Rust
- Industry experience in financial services, public sector, healthcare, telecommunications, or manufacturing is advantageous
Benefits
Comp & perks- Flexible work environments, depending on role requirements
- Dedicated technical career track without administrative team management overhead
- Hands-on exposure to emerging global hardware platforms, next-generation distributed runtimes, and localized enterprise software stacks
- Opportunity to influence reusable open-source blueprints and AI Quickstarts across the APAC region
- Reasonable accommodations for job applicants with disabilities