DevOps Engineer – AWS, Kubernetes & Terraform Jobs in Baner, Pune (2–3 Years Experience)

Website karini
Location
Baner, Pune, Maharashtra, India (On-site)
Job Category
- Information Technology (IT) & Software
- Engineering & Technical
- IT & Software Jobs
- Engineering Jobs
- Private Jobs
Job Overview
Karini AI is hiring a DevOps Engineer for its engineering team in Baner, Pune. This opportunity is ideal for professionals with 2–3 years of hands-on Core AWS DevOps experience who are passionate about cloud infrastructure, Kubernetes, Infrastructure as Code (IaC), and modern DevOps practices. The successful candidate will contribute to building secure, scalable, and highly available cloud platforms supporting next-generation Enterprise AI solutions.
As a DevOps Engineer, you will design and automate cloud infrastructure, manage Kubernetes clusters, build CI/CD pipelines, and collaborate with software engineering teams to deliver production-ready infrastructure. You will work closely with an experienced engineering team to implement cloud-native technologies and automation strategies that improve deployment efficiency and platform reliability.
This role offers outstanding career growth, continuous professional development, and hands-on training through real-world enterprise AI projects. You will gain exposure to advanced cloud technologies, container orchestration, Infrastructure as Code, and enterprise DevOps practices while working with an experienced leadership team.
Key Responsibilities
- Design, implement, and maintain scalable, secure, and highly available cloud infrastructure using Terraform or AWS CloudFormation.
- Deploy, manage, and troubleshoot Kubernetes clusters, including Amazon EKS, AKS, and GKE.
- Build, maintain, and optimize CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps.
- Containerize applications using Docker and automate infrastructure provisioning.
- Implement monitoring, logging, and alerting solutions to improve platform reliability.
- Collaborate with software engineering teams to deliver production-ready infrastructure for Enterprise AI applications.
- Automate deployment workflows and improve infrastructure efficiency.
- Troubleshoot cloud infrastructure and deployment-related issues.
- Follow DevOps best practices to enhance security, scalability, and operational excellence.
Requirements & Qualifications
Education
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
Experience
- 2–3 years of hands-on experience in Core AWS DevOps Engineering.
- Experience should focus on cloud engineering and DevOps rather than support or operations roles.
Technical Skills
- Amazon Web Services (AWS)
- Kubernetes (Amazon EKS preferred)
- Azure Kubernetes Service (AKS)
- Google Kubernetes Engine (GKE)
- Terraform
- AWS CloudFormation
- Docker
- GitHub Actions
- Jenkins
- Azure DevOps
- CI/CD Pipelines
- Python
- Bash
- Shell Scripting
Good to Have
- Prometheus
- Grafana
- ELK Stack
- Datadog
- Microsoft Azure
- Google Cloud Platform (GCP)
Soft Skills
- Strong analytical and troubleshooting skills.
- Excellent communication and collaboration abilities.
- Ownership mindset with strong problem-solving capabilities.
- Ability to work effectively in a fast-paced engineering environment.
Salary, Benefits & Career Growth
Benefits
- Opportunity to work with an experienced Ex-AWS founding team.
- Exposure to enterprise-scale AI infrastructure and cloud-native technologies.
- Collaborative engineering culture with end-to-end project ownership.
- Flat organizational structure that encourages innovation and learning.
Career Growth
- Excellent opportunities for career advancement in DevOps Engineering, Cloud Engineering, Platform Engineering, and Site Reliability Engineering (SRE).
- Continuous professional development through enterprise AI and cloud infrastructure projects.
- Hands-on experience with Kubernetes, Infrastructure as Code, automation, and CI/CD technologies.
- Opportunities to strengthen cloud expertise through industry-recognized training and certification programs.
Application Process
Application Process (Website)
- Apply only through the official job link.
- Click Apply Now on the website.
HR Email for Application
Send your updated CV directly
Important:
- Candidates with primarily Support or Operations experience are not eligible.
- Applicants should have hands-on Core AWS DevOps experience, especially with Kubernetes (Amazon EKS), Docker, Infrastructure as Code (Terraform/CloudFormation), and CI/CD.
- Do not comment “Interested” on the job post.
- Contact the recruiter directly via email for applications or inquiries.
To apply for this job email your details to careers@karini.ai
