Senior Devops

16 hours ago

Pune, Maharashtra, India Wolters Kluwer Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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Fullstack DevOps Engineer Urgent Openings At Wolters Kluwer, )

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

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