Principal Architect

Project description Monitoring as a Platform, a platform that is the first critical step towards a self-managed infrastructure, and includes capabilities like real-time monitoring, intelligent networks, self-healing and IoT to achieve improved productivity, organizational agility and improved employee experiences. Responsibilities Develop and maintain architectural blueprints and high‑level system designs. Define the overall architecture and set the technical direction for the organization. Translate business requirements into feasible, scalable, and robust technical solutions. Evaluate the client’s proposed technologies and assess their fit within the overall architecture. Recommend appropriate tools, platforms, and architectural approaches. Collaborate with engineering, product, and business teams to ensure the architecture meets functional and non-functional requirements. Provide architectural guidance and mentorship to engineering teams. Ensure that systems meet enterprise standards for scalability, performance, reliability, and security. Oversee monitoring, observability, and operational health of systems. Architect systems leveraging AWS cloud services. Integrate AI/ML infrastructure components and automation frameworks into the solution architecture. Lead the design and optimization of ELK-based logging systems. Guide the implementation of monitoring and visualization platforms such as Grafana. Oversee infrastructure-as-code automation using Ansible and Terraform. Support containerization and orchestration using Docker and Kubernetes. Skills Must have 15+ years of experience in designing and documenting architectural blueprints. 5+ years specifically in solution architecture or similar roles. Knowledge and practical use of enterprise architecture frameworks. Expertise in scalable system design and distributed systems. Strong expertise in AWS cloud architecture and services. Proficiency with Terraform and Ansible. Advanced knowledge of monitoring and observability tooling. Proficiency in the ELK stack (Elasticsearch, Logstash), including deployment and optimization. Experience with Grafana for dashboards and visualization. Experience with AI/ML infrastructure and automation frameworks. Must-have! experience with the Traditional Machine Learning (Mathematics & Statistics, Core ML Algorithms, Learning Paradigms, Model Evaluation & Validation, Data Preparation, Deployment & MLOps, Tools & Frameworks: Python libraries, ML platforms: TensorFlow, PyTorch) Experiment tracking & reproducibility) Hands-on experience with Docker and Kubernetes. Excellent problem-solving skills. Strong attention to detail. Ability to collaborate across teams and communicate architectural decisions clearly. Nice to have . Other Languages English: C1 Advanced Seniority Lead