365 admin at Viking stack · Kochi (Cochin) · 2 - 3 years · ₹3L - ₹5L / yr · Posted 2 Sep 2026

Location : Kochi
Candidated must be in Kerala and should be willing to relocate.
Notice Period : up to 30 days
Job Summary
We are seeking a motivated and detail-oriented Junior Azure Cloud Engineer with 2–3 years of experience in Microsoft cloud technologies. The ideal candidate will have hands-on experience in Microsoft Azure infrastructure services and Microsoft 365 administration. This role involves supporting cloud environments, managing identity and security, and assisting in cloud-based deployments and operations.
Key Responsibilities
- Manage and support Azure Entra ID (Azure Active Directory) including user management, group policies, conditional access, and identity governance.
- Configure and maintain Azure networking components such as Virtual Networks (VNet), Subnets, NSGs, VPN, and Load Balancers.
- Deploy and manage Azure Compute services including Virtual Machines, App Services, and related infrastructure.
- Administer Azure Storage services (Blob, File Shares, Backup, etc.).
- Monitor and maintain Microsoft 365 environments including Exchange Online, Teams, and SharePoint Online.
- Administer SharePoint Online sites, permissions, and configurations.
- Manage and monitor security policies using Microsoft 365 Security Center.
- Support cloud governance, compliance, and security best practices.
- Troubleshoot cloud infrastructure and M365-related issues.
- Collaborate with internal teams to support cloud migration and deployment activities.
- Document configurations, processes, and standard operating procedures.
Required Skills & Qualifications
- 2–3 years of hands-on experience in Microsoft Azure cloud services.
- Strong experience with Azure Entra ID, Azure Networking, Azure Storage, and Azure Compute services.
- Experience in Microsoft 365 Administration.
- Hands-on experience in SharePoint Online administration.
- Experience working with Microsoft 365 Security Center.
- Good understanding of cloud security, identity management, and governance.
- Strong troubleshooting and problem-solving skills.
- Good communication and documentation skills.
Nice to Have (Added Advantage)
- Experience with Azure DevOps (CI/CD pipelines, Repos, Boards, etc.).
- Basic scripting knowledge (PowerShell, Azure CLI).
- Azure or Microsoft 365 certifications.

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Required Technical Skill Set
MS Azure, M365, PowerShell
No of Requirements
1
Desired Experience Range
5 to 10 Years
Location of Requirement
Bangalore/Hydrabad
Desired Competencies (Technical/Behavioral Competency)
Must-Have
· Hands-on experience in Automating solutions in Power shell at L3 level
· Experience in monitoring, troubleshooting, and executing Azure Runbooks for operational automation
· Working knowledge of Microsoft 365 Groups management and support
· String Experience in M365 License Management
· Strong understanding of Agile methodologies, with experience working in Scrum or Kanban environments
· Knowledge of Azure monitoring and diagnostics tools (Log Analytics, Application Insights, Alerts)
· Good understanding of application security, reliability, and performance optimization in cloud environments
· Excellent problem-solving, collaboration, and communication skills
· Proficiency in DevOps practices, including CI/CD pipeline implementation and maintenance (Azure DevOps or GitHub Actions)
Good-to-Have
· AZ-204
· Good understanding of M365 Security and Compliance features, including retention, audit, and data governance policies
We are hiring a Senior DevOps Engineer (5–10 years experience) with strong hands-on expertise in AWS, CI/CD, Docker, Kubernetes, and Linux. The role involves designing, automating, and managing scalable cloud infrastructure and deployment pipelines. Experience with Terraform/Ansible, monitoring tools, and security best practices is required. Immediate joiners preferred.
We are looking for an experienced DevOps Architect with strong expertise in telecom environments (OSS/BSS, 4G/5G core, network systems). The candidate will design and implement scalable, highly available, and automated DevOps solutions to support telecom-grade applications and infrastructure.
Responsibilities:
- Design and implement DevOps architecture for telecom applications (OSS/BSS, mediation systems, billing platforms)
- Architect CI/CD pipelines using Jenkins, GitLab, or Azure DevOps
- Manage cloud infrastructure on Amazon Web Services, Microsoft Azure, or hybrid telecom data centers
- Implement containerization using Docker and orchestration with Kubernetes
- Design Infrastructure as Code (IaC) using Terraform
- Ensure high availability, disaster recovery, and zero-downtime deployment strategies
- Automate deployments for 4G/5G core network functions (CNFs/VNFs)
- Implement monitoring solutions using Prometheus, Grafana, and ELK Stack
- Work closely with network engineering and telecom operations teams
- Ensure compliance with telecom-grade security standards
Responsibilities:
- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.
- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.
- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.
- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.
- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.
- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.
- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.
- Ensure high availability, performance, and security of cloud infrastructure and applications.
- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.
- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.
- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.
- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.
- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.
- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.
- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.
As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.
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Development of automation scripts and pipelines for deployment and monitoring of new production environments.
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Development of automation scripts for upgrades, hotfixes deployments and maintenance.
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Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.
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Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.
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Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.
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Write Knowledge articles to document known issues and best practices.
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Conduct regression tests to validate solutions or workarounds.
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Work in a globally distributed team.
What achievements should you have so far?
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Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.
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Experience with containerization, deployment, and operations.
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Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).
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Good experience with Linux systems and Shell scripting.
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Basic cloud experience, preferably oriented on MS Azure.
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Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).
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Good Networking skills and experience.
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Having Terraform or CloudFormation knowledge will be considered a plus.
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Ability to analyze a task from a system perspective.
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Excellent problem-solving and troubleshooting skills.
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Excellent written and verbal communication skills; mastery in English and local language.
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Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.
- Extensive experience in designing & supporting Azure Managed Services Operations.
- Maintaining the Azure Active Directory and Azure AD authentication.
- Azure update management – Handling updates/Patching.
- Good understanding of Azure services (Azure App Service, Azure SQL, Azure Storage Account..etc).
- Understanding of load balancers, DNS, virtual networks, NSG and firewalls in cloud environment.
- ARM templates writing, setup automation for resources provisioning.
- Knowledge on Azure automation and Automation Desire State Configuration.
- Good understanding of High Availability and Auto scaling.
- Azure Backups and ASR (Azure Site Recovery)
- Azure Monitoring and Configuration monitoring (performance metrics, OMS)
- Cloud Migration Experience(On premise to Cloud).
- PowerShell scripting for custom tasks automation.
- Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems.
Certification:
Azure Administrator (AZ-103) & Azure Architect (AZ-300 & AZ-301)
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
Engineering Leader, Cloud Infrastructure.
Bengaluru, Karnataka, India
Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!
Your Impact:
We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,
networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for
you.
You Will:
Lead, inspire, and influence to make sure your team is successful
Partner with the recruiting team to attract and retain high-quality and diverse talent
Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration
Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.
Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.
You'll need:
BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
Strong fundamentals in distributed systems design and development
Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
Experience running production services in Public Clouds such as AWS, GCP, and Azure
Experience with running large stateful data systems in the Cloud
Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)
A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.
- GCP Cloud experience mandatory
- CICD - Azure DevOps
- IaC tools – Terraform
- Experience with IAM / Access Management within cloud
- Networking / Firewalls
- Kubernetes / Helm / Istio








