Position Summary
We are looking for an experienced
IT Solutions Architect to design and drive cloud-native solutions across our global AWS environment. You will partner with software development teams, DevOps, infrastructure, and lab engineering to architect secure, scalable, and cost-efficient platforms that support both
cloud software services and
semiconductor testing workflows.
A key focus of the role is to evaluate and introduce
AI/ML technologies (e.g., LLMs, automation, MLOps) to improve productivity, reliability, and developer efficiency across the company.
Key Responsibilities- Architecture & Solution Design
- Design end-to-end AWS-based architectures for internal systems, cloud services, data platforms, and development workflows.
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Define architectural standards, patterns, and best practices for cloud development and IT systems.
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Collaborate with engineering colleagues to align architecture with business and technical needs.
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Drive modernization initiatives (containerization, serverless, microservices, event-driven architectures).
- AI / Automation & Innovation
- Identify meaningful and safe ways to integrate AI/ML (including LLMs) into workflows and internal systems.
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Evaluate AI tools and platforms in collaboration with Engineering.
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Lead pilots and PoCs for AI-assisted development, automation, analytics, or system operations.
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Work with security and compliance teams to ensure responsible AI adoption.
- Cloud Governance & IT Excellence
- Support cost optimization, FinOps, and continuous improvement in cloud operations.
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Help establish standard ways of working with DevOps teams (CI/CD, observability, resilience patterns).
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Provide architectural oversight on complex IT and business projects.
- Cross-functional Collaboration
- Act as a bridge between IT, engineering, software development, and hardware/lab teams.
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Document architectures, run design reviews, and communicate complex concepts clearly.
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Mentor engineers and advocate for good engineering and architectural practices.
Key CompetenciesTechnical Skills- 5+ years of experience as a Solutions Architect, Senior Cloud Engineer, or senior technical role.
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Strong expertise in AWS services across compute, networking, storage, IAM, security, and data.
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Solid experience designing and delivering distributed, cloud-native systems.
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Good programming/scripting experience (Python, TypeScript, or similar).
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Experience with containers (ECS/EKS), serverless (Lambda), and IaC (Terraform/CDK).
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Familiarity with modern AI technologies, such as:
- LLMs / generative AI
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MLOps concepts
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RAG, embeddings, vector databases
- Understanding of networking, identity, and security best practices.
Soft Skills- Strong communication and stakeholder management.
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Experience on Project Management, both Waterfall and Agile
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Ability to evaluate trade-offs and make sound architectural decisions.
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Comfortable working in a hybrid environment (cloud + on-prem systems + hardware labs).
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Innovative mindset balanced with pragmatic delivery.
Profile- Bachelor degree on IT engineering or similar.
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AWS certification(s), ideally AWS Solutions Architect – Professional.
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Experience in a product-based tech or semiconductor environment.
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Exposure to lab systems, test automation.
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Experience driving governance, IT transformation, or standardization initiatives.
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Fluent English is a must.