Devops Engineer Intern

People Combine; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

People Combine, located in Hyderabad, is seeking a talented DevOps/ML Ops Engineer who will bridge the gap between development and operations teams. The ideal candidate will implement CI/CD pipelines, manage AWS infrastructure, and ensure seamless collaboration for streamlined software delivery.

The position requires strong experience in AWS, Kubernetes, and operational support for production systems, fostering a hands-on approach and ownership mindset.

Qualifications

• Strong hands‑on experience with AWS infrastructure and core cloud services.
• Experience managing Linux‑based virtual machines in production.
• Good experience with Kubernetes, especially Amazon EKS.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for software delivery.
• Collaborate with development teams to troubleshoot and debug issues.
• Monitor and optimize the performance of production systems.

Skills

AWS infrastructure management

Kubernetes

Linux administration

CI/CD tools (Jenkins, GitHub Actions)

Monitoring (Grafana, Prometheus)

Database management (MySQL, PostgreSQL)

Troubleshooting skills

Education

B.Tech/B.E. in Any Specialization

Tools

Terraform

Docker

Ansible

CloudFormation

Job description

DevOps/ML Ops Engineer

Overview

We are looking for a talented and experienced DevOps Engineer to bridge the gap between development and operations teams, facilitate collaboration, and implement best practices to streamline software delivery and deployment processes.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines to automate software build, test, security, and deployment processes using tools such as Jenkins, GitLab CI/CD, or CircleCI.
• Collaborate with development teams to troubleshoot and debug issues, and provide support and guidance in resolving production incidents and outages.
• Implement and manage infrastructure as code solutions using Terraform, Ansible, or CloudFormation to automate provisioning and configuration of cloud resources and environments.
• Configure and manage containerization and orchestration platforms such as Docker and Kubernetes to deploy and scale applications in production.
• Monitor and optimize the performance, reliability, and scalability of production systems and applications, and implement proactive measures to detect and mitigate potential issues.
• Stay current with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and software development, sharing knowledge and expertise with the team.

Infrastructure & Platform Operations

• Manage startup‑style infrastructure where multiple databases and tools are hosted on virtual machines for cost efficiency.
• Handle day‑to‑day operational activities such as backups, restores on demand, patching, and troubleshooting.
• Conduct performance monitoring of production systems.
• Manage and support hosted systems including ClickHouse, MySQL, PostgreSQL, and Kafka.

Cross‑Functional Support

• Work closely with developers on‑site to support build issues, deployment issues, environment issues, and infrastructure requests.
• Actively engage with engineering teams for faster issue resolution and smoother delivery cycles.
• Support ML pipeline deployments on EKS and serve them similarly to standard applications.

Preferred Candidate Profile

• Strong hands‑on experience with AWS infrastructure and core cloud services.
• Experience managing Linux‑based virtual machines in production.
• Good experience with Kubernetes, especially Amazon EKS.
• Strong understanding of Helm charts and Argo CD / GitOps deployments.
• Experience with CI/CD tools such as Jenkins and GitHub Actions.
• Experience with monitoring and observability using Grafana, Prometheus, and CloudWatch.
• Experience managing backups, restores, and operational support for production systems.
• Familiarity with databases and distributed systems such as MySQL, PostgreSQL, ClickHouse, Kafka, Milvus, and Redis/Valkey.
• Good understanding of IAM, networking, DNS, certificates, CDN, and API integrations.
• Strong troubleshooting and incident response skills.
• Ability to work closely with developers in an on‑site, fast‑paced startup environment.
• Ownership mindset and ability to manage infrastructure independently.
• Strong communication and collaboration skills.
• Comfortable with on‑site support and frequent interaction with developers.
• Able to handle both routine operational work and urgent production issues.
• Practical, problem‑solving attitude with focus on reliability and delivery.

Nice to Have

• Experience supporting ML workloads and deployment pipelines.
• Basic understanding of Python scripts and how to run/deploy automation or utility scripts.
• Exposure to cost optimization in AWS.
• Experience working in startup environments with lean infrastructure teams.

Education & Employment

• Education: UG: B.Tech / B.E. in Any Specialization.
• Employment Type: Full Time, Permanent.
• Location: Hyderabad.