Senior Full Stack DevOps Engineer

8 hours ago


IND Pune Kalyani Nagar India Wolters Kluwer Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 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.

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

Experience LevelSenior Level

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