Job Description
Wissen Technology is hiring for Azure DevOps + Agentic AI; About Wissen Technology: At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time. Job Summary: We are looking for an DevOps Engineer with strong hands-on experience in Azure cloud engineering, Infrastructure as Code (Terraform), and configuration management/automation. The role primarily focuses on building reliable cloud infrastructure, enabling CI/CD automation, improving observability and operational excellence, and driving cost optimization (FinOps). Additionally, the engineer will be responsible for designing and developing agentic AI solutions that streamline and support infrastructure operations, monitoring triage, and FinOps insights, leveraging contemporary AI agent frameworks and Azure AI services. The role further encompasses architecting and automating foundational infrastructure, deployment pipelines, monitoring systems, and governance mechanisms essential for ML and GenAI workloads utilizing Azure-native services, Infrastructure as Code (IaC), and advanced MLOps practices. Key responsibilities include enabling orchestration frameworks for LLMs, such as LangGraph, and supporting integration with Claude-based skills and plugins from an infrastructure and platform standpoint. The ideal candidate brings a strong platform and automation mindset, with experience working closely with CCOE’s and Development teams to provide secure, scalable infrastructure automation and agentic solutions.
