Job Description
<p><p><b>About The Role :</b></p><p><p><b><br/></b></p>We are seeking an experienced and highly motivated DevOps Engineer with a strong background in Cloud Engineering, Full-Stack Development, and modern DevOps practices.<br/>This role involves working on diverse projects where youll design, develop, deploy, and optimize scalable applications and infrastructure while collaborating closely with cross-functional teams.</p><p><br/>The ideal candidate should be a hands-on technologist who thrives in a dynamic environment, is proficient in TypeScript and Python, has experience with Azure, AWS, or GCP, and can work seamlessly across frontend, backend, and infrastructure layers.<br/>A good understanding of Large Language Models (LLMs) and AI-driven workflows is a significant plus.<br/><br/><b>Key Responsibilities & Infrastructure Engineering :</b></p><p><br/></p><p>- Design, deploy, and manage scalable cloud infrastructure on Azure, AWS, or GCP.</p><p><br/></p>- Implement Infrastructure as Code (IaC) using tools like Terraform, Pulumi, or CloudFormation.<br/><br/></p><p>- Ensure high availability, performance, and cost efficiency across cloud Development :</b></p><p><br/></p><p>- Develop and maintain scalable frontend and backend solutions using TypeScript, Python, and modern frameworks.</p><p><br/></p>- Build RESTful APIs, microservices, and web applications with strong focus on performance and security.<br/><br/></p><p>- Collaborate with UI/UX teams to deliver seamless user & Automation :</b></p><p><br/></p><p>- Implement CI/CD pipelines using GitHub Actions (or similar tools like Azure DevOps, GitLab</p></p><p>CI, Jenkins).</p><p><br/></p><p>- Automate deployment, testing, and monitoring for applications and infrastructure.<br/><br/></p><p>- Drive observability using logging, monitoring, and alerting & LLM Integration :</b></p><p><br/></p><p>- Work on integrating Large Language Models and AI-driven components into backend and </p><p>DevOps workflows.</p><p><br/></p>- Collaborate with AI/ML engineers to optimize infrastructure for AI & Stakeholder Management :</b></p><p><br/></p><p>- Partner with developers, architects, and product managers to deliver high-quality solutions.</p><p><br/></p>- Proactively identify bottlenecks and propose improvements in processes, systems, and architecture.<br/><br/></p><p>- Be talkative, approachable, and team-friendly to foster a collaborative culture.<br/><br/><p><b>Required Qualifications & Skills :</b></p><p><br/></p><p>Experience : 6 to 10 years of relevant experience in DevOps, Cloud Engineering, and Full-Stack Skills :</b></p><p><br/></p><p>- Must have : Strong proficiency in TypeScript and Python.</p><p><br/></p>- Experience with frameworks like Node.js, React, Next.js, or FastAPI is a plus.<br/><b><br/></b></p><p><p><b>Cloud Expertise :</b></p><p><br/></p><p>- Hands-on experience with at least one major cloud provider (Azure, AWS, or Tools & Practices :</b></p><p><br/></p><p>- Expertise in CI/CD pipelines, preferably GitHub Actions.</p><p><br/></p>- Familiarity with containerization and orchestration (Docker, Kubernetes).<br/><br/></p><p>- Knowledge of Infrastructure as Code & LLM Exposure :</b></p><p><br/></p><p>- Understanding of Large Language Models and integrating AI capabilities into applications or Skills :</b></p><p><br/></p><p>- Strong problem-solving abilities.</p><p><br/></p>- Excellent communication and stakeholder management skills.<br/><br/></p><p>- Proactive, adaptable, and collaborative mindset.<br/><br/></p><p>- Ability to work comfortably on frontend, backend, and infrastructure Skills :</b></p><p><br/></p><p>- Experience working with serverless architectures.</p><p><br/></p>- Familiarity with observability tools like Prometheus, Grafana, Datadog, or ELK Stack.<br/><br/></p><p>- Exposure to security best practices in cloud environments.<br/><br/></p><p>- Previous experience in AI Ops or MLOps environments.<br/>Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.</p><br/></p> (ref:hirist.tech)