
Azure DeVops
On premises to Azure Migration
Docker, Kubernetes
Terraform CI CD pipeline
9+ Location
Budget – BG, Hyderabad, Remote , Hybrid –
Budget – up to 30 LPA

Similar jobs
AWS DevOps Engineer (1–2 Years Experience)
We are looking for a motivated AWS DevOps Engineer with 1–2 years of experience to join our team. The ideal candidate should have hands-on experience with cloud infrastructure, CI/CD pipelines, and automation tools.
Key Responsibilities
- Manage and maintain cloud infrastructure on Amazon Web Services
- Build and manage CI/CD pipelines for automated deployments
- Work with containerization tools like Docker
- Assist in deployment and orchestration using Kubernetes
- Monitor applications and infrastructure performance
- Collaborate with development teams to improve deployment processes
- Automate infrastructure using scripts and DevOps tools
Required Skills
- 1–2 years experience in DevOps or Cloud Engineering
- Strong knowledge of Amazon Web Services services such as EC2, S3, IAM
- Experience with CI/CD tools like Jenkins or GitHub Actions
- Knowledge of container tools like Docker
- Familiarity with version control systems like Git
- Basic scripting knowledge (Shell / Python)
Good to Have
- Experience with Infrastructure as Code tools like Terraform
- Knowledge of monitoring tools such as Prometheus or Grafana
- Understanding of Linux environments
Job Title : DevOps Engineer – Fintech (Product-Based)
Experience : 5+ Years
Location : Mumbai
Job Type : Full-Time | Product Company
Role Summary :
We are hiring a DevOps Engineer with strong product-based experience to manage infrastructure for a Fintech platform built on stateful microservices.
The role involves working across hybrid cloud + on-prem, with deep expertise in Kubernetes, Helm, GitOps, IaC, and Cloud Networking.
Mandatory Skills :
Product-based experience, deep Kubernetes (managed & self-managed), custom Helm Chart development, ArgoCD/FluxCD (GitOps), strong AWS/Azure cloud networking & security, IaC module development (Terraform/Pulumi/CloudFormation), experience with stateful microservices (DBs/queues/caches), multi-tenant deployments, HA/load balancing/SSL/TLS/cert management.
Key Responsibilities :
- Deploy and manage stateful microservices in production.
- Handle both managed & self-managed Kubernetes clusters.
- Develop and maintain custom Helm Charts.
- Implement GitOps pipelines using ArgoCD/FluxCD.
- Architect and operate secure infra on AWS/Azure (VPC, IAM, networking).
- Build reusable IaC modules using Terraform/CloudFormation/Pulumi.
- Design multi-tenant cluster deployments.
- Manage HA, load balancers, certificates, DNS, and networking.
Mandatory Skills :
- Product-based company experience.
- Strong Kubernetes (EKS/AKS/GKE + self-managed).
- Custom Helm Chart development.
- GitOps tools : ArgoCD/FluxCD.
- AWS/Azure cloud networking & security.
- IaC module development (Terraform/Pulumi/CloudFormation).
- Experience with stateful components (DBs, queues, caches).
- Understanding of multi-tenant deployments, HA, SSL/TLS, ingress, LB.
Role & Responsibilities
We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.
Key Responsibilities-
- Operate and support AWS production environments across multiple accounts
- Manage infrastructure using Terraform and support CI/CD pipelines
- Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
- Build and manage Docker images and push to Amazon ECR
- Monitor systems using CloudWatch and third-party tools; respond to incidents
- Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
- Assist with cost optimization, tagging, and governance standards
- Automate operational tasks using Python, Lambda, and Systems Manager
Ideal Candidate
- Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
- Experience with Terraform and Git-based workflows
- Hands-on experience with Kubernetes / EKS
- Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
- Scripting experience in **Python or Bash**
- Understanding of monitoring, incident management, and cloud security basics
Nice to Have-
- AWS Associate-level certifications
- Experience with Karpenter, Prometheus, New Relic
- Exposure to FinOps and cost optimization practices
A DevOps Engineer plays a crucial role in enhancing and streamlining IT operations, particularly in the context of cloud computing and agile software development.
Responsible for managing the cloud infrastructure, CI/CD pipelines
Works as an integral software delivery team member delivering world-class, scalable and robust solutions.
Major Functions/Responsibilities:
- Design, Implement, and manage CI/CD pipelines on Microsoft Azure using Azure DevOps Services
- Automate deployment processes and infrastructure management using tools like Terraform, ARM templates or Azure CLI
- Create, configure, and execute on-going or newly proposed processes for multiple projects.
- Manage version control systems and ensure proper branching, merging and release workflows.
- Collaborate with development teams to design and implement cloud-native applications and scalable solutions.
- Manage Azure services like Azure Functions, App services, Azure Kubernetes Service (AKS) and Azure Container Registry (ACR)
- Implement monitoring and logging strategies using tools like Azure Monitor, Azure Log analytics and Application Insights.
- Identify areas for improvement within processes and practices.
- Optimize Azure resources to minimize costs while ensuring performance and scalability
- Strong problem-solving skills and the ability to troubleshoot complex issues.
- Create system documentation for training and reference.
- Implement security best practices including RBAC, Key Vault, Network Security, identity & access management.
Recommended Education/Experience/ Skills:
- 6+ years of DevOps experience in improving efficiency and achieving Continuous Integration, Continuous Testing and Continuous Deployment.
- 2+ years of experience with infrastructure automation tools (such as Terraform, Ansible, chef).
- Knowledge of AI in the context of NLP or other specialized AI fields and experience in AI based applications
- Experience with Docker, Azure Kubernetes Service for container management.
- Experience with Windows and Linux system administration with knowledge of installations, performance tuning, security, and shell scripting.
- Prior DevOps experience in improving efficiency and achieving Continuous Integration, Continuous Testing and Continuous Deployment.
- Proven experience in building DevOps infrastructure and creating multiple environments.
- Experience with or strong understanding of modern service-oriented architecture.
- Experience with scripting languages such as PowerShell, Python or Bash
- Knowledge of networking load balancers.
- Understanding of cloud security principles.
- Experience with SDLC Management software and solutions and knowledge of Agile and Scrum methodologies
- Experience in integration of automated testing and deployment for cloud-based applications with Continuous Integration tools.
- Experience in any modern language (C#, HTML, CSS, Java, etc).
- Collaboration and communication skills to work with cross-functional teams.
- Expertise in version control systems like Azure DevOps, Git managing repositories.
- Relevant DevOps-related certifications, such as Azure DevOps expert , Azure AI services etc

Senior Cloud Engineer Job Description
Position Title: Senior Cloud Engineer -- AWS [LONG TERM-CONTRACT POSITION]
Location: Remote [REQUIRES WORKING IN CST TIME ZONE]
Position Overview
The Senior Cloud Engineer will play a critical role in designing, deploying, and managing scalable, secure, and highly available cloud infrastructure across multiple platforms (AWS, Azure, Google Cloud). This role requires deep technical expertise, leadership in cloud
strategy, and hands-on experience with automation, DevOps practices, and cloud-native technologies. The ideal candidate will work collaboratively with cross-functional teams to deliver robust cloud solutions, drive best practices, and support business objectives
through innovative cloud engineering.
Key Responsibilities
Design, implement, and maintain cloud infrastructure and services, ensuring high availability, performance, and security across multi-cloud environments (AWS, Azure, GCP)
Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible for automated provisioning and configuration
Lead the adoption and optimization of DevOps methodologies, including CI/CD pipelines, automated testing, and deployment processes
Collaborate with software engineers, architects, and stakeholders to architect cloud-native solutions that meet business and technical requirements
Monitor, troubleshoot, and optimize cloud systems for cost, performance, and reliability, using cloud monitoring and logging tools
Ensure cloud environments adhere to security best practices, compliance standards, and governance policies, including identity and access management, encryption, and vulnerability management
Mentor and guide junior engineers, sharing knowledge and fostering a culture of continuous improvement and innovation
Participate in on-call rotation and provide escalation support for critical cloud infrastructure issues
Document cloud architectures, processes, and procedures to ensure knowledge transfer and operational excellence
Stay current with emerging cloud technologies, trends, and best practices,
Required Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent work experience
- 6–10 years of experience in cloud engineering or related roles, with a proven track record in large-scale cloud environments
- Deep expertise in at least one major cloud platform (AWS, Azure, Google Cloud) and experience in multi-cloud environments
- Strong programming and scripting skills (Python, Bash, PowerShell, etc.) for automation and cloud service integration
- Proficiency with DevOps tools and practices, including CI/CD (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and configuration management (Ansible, Chef)
- Solid understanding of networking concepts (VPC, VPN, DNS, firewalls, load balancers), system administration (Linux/Windows), and cloud storage solutions
- Experience with cloud security, governance, and compliance frameworks
- Excellent analytical, troubleshooting, and root cause analysis skills
- Strong communication and collaboration abilities, with experience working in agile, interdisciplinary teams
- Ability to work independently, manage multiple priorities, and lead complex projects to completion
Preferred Qualifications
- Relevant cloud certifications (e.g., AWS Certified Solutions Architect, AWS DevOps Engineer, Microsoft AZ-300/400/500, Google Professional Cloud Architect)
- Experience with cloud cost optimization and FinOps practices
- Familiarity with monitoring/logging tools (CloudWatch, Kibana, Logstash, Datadog, etc.)
- Exposure to cloud database technologies (SQL, NoSQL, managed database services)
- Knowledge of cloud migration strategies and hybrid cloud architectures
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.
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4+ years of experience in IT and infrastructure
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2+ years of experience in Azure Devops
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Experience with Azure DevOps using both as CI / CD tool and Agile framework
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Practical experience building and maintaining automated operational infrastructure
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Experience in building React or Angular applications, .NET is must.
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Practical experience using version control systems with Azure Repo
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Developed and maintained scripts using Power Shell, ARM templates/ Terraform scripts for Infrastructure as a Code.
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Experience in Linux shell scripting (Ubuntu) is must
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Hands on experience with release automation, configuration and debugging.
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Should have good knowledge of branching and merging
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Integration of tools like static code analysis tools like SonarCube and Snky or static code analyser tools is a must.
- Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
- Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
- Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
- Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
- Design and implement DevOps processes for new projects following the department's objectives of automation.
- Collaborate on projects with development teams to provide recommendations, support and guidance.
- Work towards full automation, monitoring, virtualization and containerization.
- Create and maintain tools for deployment, monitoring and operations.
- Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
- Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
- Maintain 24/7 availability for responsible systems and be open to on-call rotation.
MTX Group Inc. is seeking a motivated Lead DevOps Engineer to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.
Responsibilities:
- Be responsible for software releases, configuration, monitoring and support of production system components and infrastructure.
- Troubleshoot technical or functional issues in a complex environment to provide timely resolution, with various applications and platforms that are global.
- Bring experience on Google Cloud Platform.
- Write scripts and automation tools in languages such as Bash/Python/Ruby/Golang.
- Configure and manage data sources like PostgreSQL, MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc
- Build automation and tooling around Google Cloud Platform using technologies such as Anthos, Kubernetes, Terraform, Google Deployment Manager, Helm, Cloud Build etc.
- Bring a passion to stay on top of DevOps trends, experiment with and learn new CI/CD technologies.
- Work with users to understand and gather their needs in our catalogue. Then participate in the required developments
- Manage several streams of work concurrently
- Understand how various systems work
- Understand how IT operations are managed
What you will bring:
- 5 years of work experience as a DevOps Engineer.
- Must possess ample knowledge and experience in system automation, deployment, and implementation.
- Must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
- Experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, MySQL, and Git.
- Knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, Hadoop, and others.
What we offer:
- Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
- Sum Insured: INR 5,00,000/-
- Maternity cover upto two children
- Inclusive of COVID-19 Coverage
- Cashless & Reimbursement facility
- Access to free online doctor consultation
- Personal Accident Policy (Disability Insurance) -
- Sum Insured: INR. 25,00,000/- Per Employee
- Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
- Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
- Temporary Total Disability is covered
- An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver benefit
- Monthly Internet Reimbursement of upto Rs. 1,000
- Opportunity to pursue Executive Programs/ courses at top universities globally
- Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others
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Engineering group to plan ongoing feature development, product maintenance.
• Familiar with Virtualization, Containers - Kubernetes, Core Networking, Cloud Native
Development, Platform as a Service – Cloud Foundry, Infrastructure as a Service, Distributed
Systems etc
• Implementing tools and processes for deployment, monitoring, alerting, automation, scalability,
and ensuring maximum availability of server infrastructure
• Should be able to manage distributed big data systems such as hadoop, storm, mongoDB,
elastic search and cassandra etc.,
• Troubleshooting multiple deployment servers, Software installation, Managing licensing etc,.
• Plan, coordinate, and implement network security measures in order to protect data, software, and
hardware.
• Monitor the performance of computer systems and networks, and to coordinate computer network
access and use.
• Design, configure and test computer hardware, networking software, and operating system
software.
• Recommend changes to improve systems and network configurations, and determine hardware or
software requirements related to such changes.







