We are seeking a highly skilled
Senior Technical Architect to lead the design and implementation of robust, scalable, and secure solutions across cloud, on-premise, and AI-driven ecosystems. The ideal candidate will have deep expertise in
cloud architecture (AWS, Azure, GCP),
on-prem platforms (e.g., SUSE Rancher),
containerization,
data engineering, and
generative AI technologies. You will play a pivotal role in driving technical strategy, mentoring engineering teams, and ensuring best practices in system design, DevOps, and security.
Requirements
- Design and implement scalable, secure, and resilient cloud-native and on-premise architectures.
- Lead solution architecture using AWS, Azure, GCP, and SUSE Rancher for hybrid cloud environments.
- Develop and scale microservices architectures using Docker and Kubernetes.
- Drive adoption of DevOps and CI/CD pipelines to enhance engineering efficiency.
- Architect and implement data pipelines, ETL workflows, and data engineering solutions.
- Lead the integration of machine learning and generative AI models using TensorFlow, PyTorch, and platforms like OpenAI and Hugging Face Transformers.
- Provide technical leadership and mentorship across teams, ensuring code quality and architecture alignment.
- Collaborate cross-functionally with product, data, and engineering teams to align technical strategy with business goals.
- Define and enforce security best practices, compliance requirements, and risk management protocols.
- Drive innovation and strategic thinking to anticipate technological trends and future-proof systems.
- Proven experience in designing and leading large-scale architecture for cloud and on-prem environments.
- Expertise with cloud platforms: AWS, Azure, and GCP.
- Hands-on experience with SUSE Rancher or equivalent on-prem orchestration platforms.
- Strong programming experience in Python, with a focus on data and ML applications.
- Deep knowledge of machine learning and generative AI ecosystems (e.g., OpenAI API, Hugging Face, TensorFlow, PyTorch).
- Solid background in data engineering, ETL design, and scalable data pipelines.
- Strong understanding of microservices design, API development, and container orchestration.
- Experience with CI/CD, DevOps tools, and modern infrastructure automation.
- In-depth knowledge of cybersecurity principles, identity & access management, and data protection.
- Excellent problem-solving, communication, and leadership skills.
- Ability to align technical decisions with strategic business goals.
- Certifications in AWS, Azure, GCP, or Kubernetes (CKA/CKAD).
- Experience in multi-cloud or hybrid cloud deployments.
- Background in MLOps and real-time inference systems.
- Familiarity with event-driven architectures and streaming platforms (e.g., Kafka)
