Junior DevOps Engineer

Junior DevOps Engineer
Location
Pune City, Maharashtra, India
Experience
Entry
Posted
Jul 13, 2026
Apply by
September 24, 2026
Applicants
0
Job Description
maintaining and troubleshooting CI/CD pipelines for Android, web, and backend
applications. Monitor jobs and escalate issues to senior engineers.
· Cloud Platform Assistance (Azure/AWS) – Help in provisioning and maintaining development/staging
environments using cloud-native tools. Learn best practices in cloud
administration.
· Build Automation & Deployment Tasks – Execute automated build and deployment scripts, monitor job status,
document steps, and contribute to improving automation coverage.
· Monitoring & Logging (ELK/Prometheus) – Follow defined procedures to track system health, identify
anomalies, and support incident response.
· AI-Driven Automation & AIOps – Participate in the integration and maintenance of AI/ML-powered monitoring,
alerting, and incident response systems. Assist in implementing AIOps
solutions for automated root cause analysis and resource optimisation.
· MLOps Support – Collaborate with
Data Science/MLOps teams to help automate deployment and monitoring of
machine learning models.
· T roubleshooting & Ticket Resolution – Handle first-level technical issues, including build failures,
environment connectivity issues, and deployment rollbacks under supervision.
· Documentation & SOP Maintenance – Document new processes, run books, and routine maintenance
steps. Keep deployment and environment SOPs up to date.
· Learning & Technical Growth –
Participate in team training, pair programming, and code reviews. Attend
knowledge-sharing sessions to build expertise in DevOps tools and techniques.
· Collaboration with Dev/QA Teams –
Support cross-functional teams by helping ensure smooth code integrations and
troubleshooting feedback environments. | | --- | ### Requirements Education :Bachelor’s degree in Computer Science, Engineering, or a relevant field Behaviour and Social competencies : Strong willingness to learn Attention to detail and documentation 0–2 years of hands-on experience (internship or full-time) with: CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps Basic Linux server usage Professional competencies : Git, Bash scripting, basic Linux, Docker fundamentals, cloud platform familiarity (Azure/AWS), Gradle or Fastlane (for mobile), monitoring tools (basic use) Preferred work exposure :Exposure to: - Android SDK and related tools - Mobile CI/CD tools and pipelines - Mobile testing frameworks - Contributions to personal or academic Android/DevOps-related projects Ethics & Complianc e: This position requires full commitment to fostering the highest standards, while promoting an ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when misconduct or concerning behaviours are evident or perceived. Good collaboration and communication skills Certifications (Preferred) : Not required; any foundational certification in Azure, AWS, or Linux is a plus Required Professional Experience : 0-2 years of experience Technical/Computer Skills : Scripting (Shell, Python) containerization and modern DevOps technologies such as Docker, Kubernetes, and Infrastructure as Code (Terraform/CloudFormation). Additionally, a basic understanding of networking concepts such as DNS, TCP/IP, Load Balancers, and HTTP/HTTPS Knowledge, Skills & Abilities : Ability to follow and improve structured procedures Fast learner, adaptable to new tools. Proactive in resolving small issues and escalating larger one
Key Responsibilities
- Maintain and troubleshoot CI/CD pipelines for Android, web, and backend applications.
- Assist in provisioning and maintaining development and staging environments on Azure or AWS.
- Execute automated build and deployment scripts and monitor job status.
- Track system health and support incident response using ELK and Prometheus.
- Participate in integrating AI/ML-powered monitoring and AIOps solutions.
- Collaborate with Data Science and MLOps teams to automate machine learning model deployment.
- Handle first-level technical issues including build failures and environment connectivity.
- Document new processes, run books, and routine maintenance steps.
- Participate in team training, pair programming, and code reviews.
Requirements
- Bachelor’s degree in Computer Science
- Engineering
- or a relevant field
Skills Required
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