Senior Full stack Devops Engineer

About The Role
We are seeking an experienced and highly motivated DevOps Engineer with a strong background in Cloud Engineering, Full-Stack Development, and modern DevOps practices. This role involves working on diverse projects where you'll design, develop, deploy, and optimize scalable applications and infrastructure while collaborating closely with cross-functional teams.

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. A good understanding of Large Language Models (LLMs) and AI-driven workflows is a significant plus.

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 strong 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 like Azure DevOps, GitLab CI, Jenkins).
• 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.
• Be talkative, approachable, and team-friendly to foster a collaborative culture.

Required Qualifications & Skills

• Experience: 6 to 10 years of relevant experience in DevOps, Cloud Engineering, and Full-Stack Development.
• Programming Skills:
• Must have: Strong proficiency in TypeScript and Python.
• Experience with frameworks like , React, , or FastAPI is a plus.
• Cloud Expertise: Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP).
• DevOps Tools & Practices:
• Expertise in CI/CD pipelines, preferably GitHub Actions.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Knowledge of Infrastructure as Code (Terraform/Pulumi/CloudFormation).
• AI & LLM Exposure: Understanding of Large Language Models and integrating AI capabilities into applications or infrastructure.
• Soft Skills:
• Strong problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Proactive, adaptable, and collaborative mindset.
• Ability to work comfortably on frontend, backend, and infrastructure tasks.

Nice-to-Have Skills

• Experience working with serverless architectures.
• Familiarity with observability tools like Prometheus, Grafana, Datadog, or ELK Stack.
• Exposure to security best practices in cloud environments.
• Previous experience in AI Ops or MLOps environments.

Our Interview Practices
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.