Job Description

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 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.

Skills Required