Senior Full stack Devops Engineer (Cloud, Full-Stack, AI-Driven Systems) Openings At Wolters Kluwer, Pune

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 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 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.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.