Senior Full stack Devops Engineer

As a DevOps Engineer at our company, you will be responsible for designing, developing, deploying, and optimizing scalable applications and infrastructure. Your role will involve collaborating closely with cross-functional teams on diverse projects. The ideal candidate for this role is a hands-on technologist proficient in TypeScript and Python, with experience in Cloud Engineering, Full-Stack Development, and modern DevOps practices. Additionally, having knowledge of Large Language Models (LLMs) and AI-driven workflows would be advantageous. Key Responsibilities: - Cloud & Infrastructure Engineering - Design, deploy, and manage scalable cloud infrastructure on Azure, AWS, or GCP. - Implement Infrastructure as Code (IaC) using tools like Terraform, Pulumi, or CloudFormation. - Ensure high availability, performance, and cost efficiency across cloud resources. - Full-Stack Development - Develop and maintain scalable frontend and backend solutions using TypeScript, Python, and modern frameworks. - Build RESTful APIs, microservices, and web applications with a focus on performance and security. - Collaborate with UI/UX teams to deliver seamless user experiences. - DevOps & Automation - Implement CI/CD pipelines using GitHub Actions or similar tools. - Automate deployment, testing, and monitoring for applications and infrastructure. - Drive observability using logging, monitoring, and alerting solutions. - AI & LLM Integration - Work on integrating Large Language Models and AI-driven components into backend and DevOps workflows. - Collaborate with AI/ML engineers to optimize infrastructure for AI workloads. - Collaboration & Stakeholder Management - Partner with developers, architects, and product managers to deliver high-quality solutions. - Proactively identify bottlenecks and propose improvements in processes, systems, and architecture. - Foster a collaborative culture by being talkative, approachable, and team-friendly. Required Qualifications & Skills: - Experience: 6 to 10 years in DevOps, Cloud Engineering, and Full-Stack Development. - Programming Skills: Strong proficiency in TypeScript and Python. Experience with Node.js, React, Next.js, or FastAPI is a plus. - Cloud Expertise: Hands-on experience with Azure, AWS, or GCP. - DevOps Tools & Practices: Expertise in CI/CD pipelines, containerization, orchestration, and Infrastructure as Code. - AI & LLM Exposure: Understanding of Large Language Models and integrating AI capabilities in applications or infrastructure. - Soft Skills: Strong problem-solving abilities, excellent communication, stakeholder management, proactive, adaptable, and collaborative mindset. Nice-to-Have Skills: - Experience with serverless architectures, observability tools like Prometheus, Grafana, Datadog, or ELK Stack. - Exposure to security best practices in cloud environments and previous experience in AI Ops or MLOps environments. Please note that applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.,