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 youll 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 Node.js, React, Next.js, 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.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.