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 & 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 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 & 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 & LLM Integration :Work on integrating Large Language Models and AI-driven components into backend andDevOps workflows.
Collaborate with AI / ML engineers to optimize infrastructure for AI & 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 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 Tools & Practices :Expertise in CI / CD pipelines, preferably GitHub Actions.Familiarity with containerization and orchestration (Docker, Kubernetes).Knowledge of Infrastructure as Code & LLM Exposure :Understanding of Large Language Models and integrating AI capabilities into applications or 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 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.
(ref : hirist.tech)