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Amazon Web Services (AWS)REVIEW CRITERIA:
MANDATORY:
- Strong Hands-On AWS Cloud Engineering / DevOps Profile
- Mandatory (Experience 1): Must have 12+ years of experience in AWS Cloud Engineering / Cloud Operations / Application Support
- Mandatory (Experience 2): Must have strong hands-on experience supporting AWS production environments (EC2, VPC, IAM, S3, ALB, CloudWatch)
- Mandatory (Infrastructure as a code): Must have hands-on Infrastructure as Code experience using Terraform in production environments
- Mandatory (AWS Networking): Strong understanding of AWS networking and connectivity (VPC design, routing, NAT, load balancers, hybrid connectivity basics)
- Mandatory (Cost Optimization): Exposure to cost optimization and usage tracking in AWS environments
- Mandatory (Core Skills): Experience handling monitoring, alerts, incident management, and root cause analysis
- Mandatory (Soft Skills): Strong communication skills and stakeholder coordination skills
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
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
Python
Docker
KubernetesJob Role : DevOps Engineer (Python + DevOps)
Experience : 4 to 10 Years
Location : Hyderabad
Work Mode : Hybrid
Mandatory Skills : Python, Ansible, Docker, Kubernetes, CI/CD, Cloud (AWS/Azure/GCP)
Job Description :
We are looking for a skilled DevOps Engineer with expertise in Python, Ansible, Docker, and Kubernetes.
The ideal candidate will have hands-on experience automating deployments, managing containerized applications, and ensuring infrastructure reliability.
Key Responsibilities :
- Design and manage containerization and orchestration using Docker & Kubernetes.
- Automate deployments and infrastructure tasks using Ansible & Python.
- Build and maintain CI/CD pipelines for streamlined software delivery.
- Collaborate with development teams to integrate DevOps best practices.
- Monitor, troubleshoot, and optimize system performance.
- Enforce security best practices in containerized environments.
- Provide operational support and contribute to continuous improvements.
Required Qualifications :
- Bachelor’s in Computer Science/IT or related field.
- 4+ years of DevOps experience.
- Proficiency in Python and Ansible.
- Expertise in Docker and Kubernetes.
- Hands-on experience with CI/CD tools and pipelines.
- Experience with at least one cloud provider (AWS, Azure, or GCP).
- Strong analytical, communication, and collaboration skills.
Preferred Qualifications :
- Experience with Infrastructure-as-Code tools like Terraform.
- Familiarity with monitoring/logging tools like Prometheus, Grafana, or ELK.
- Understanding of Agile/Scrum practices.
Amazon Web Services (AWS)DockerKubernetesKey Skills Required:
· You will be part of the DevOps engineering team, configuring project environments, troubleshooting integration issues in different systems also be involved in building new features for next generation of cloud recovery services and managed services.
· You will directly guide the technical strategy for our clients and build out a new capability within the company for DevOps to improve our business relevance for customers.
· You will be coordinating with Cloud and Data team for their requirements and verify the configurations required for each production server and come with Scalable solutions.
· You will be responsible to review infrastructure and configuration of micro services and packaging and deployment of application
To be the right fit, you'll need:
· Expert in Cloud Services like AWS.
· Experience in Terraform Scripting.
· Experience in container technology like Docker and orchestration like Kubernetes.
· Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.
· Experience with various version control system like GIT, build tools (Mavan, ANT, Gradle ) and cloud automation tools (Chef, Puppet, Ansible)
KubernetesDockerAmazon Web Services (AWS)• Support software build and release efforts:
• Create, set up, and maintain builds
• Review build results and resolve build problems
• Create and Maintain build servers
• Plan, manage, and control product releases
• Validate, archive, and escrow product releases
• Maintain and administer configuration management tools, including source control, defect management, project management, and other systems.
• Develop scripts and programs to automate process and integrate tools.
• Resolve help desk requests from worldwide product development staff.
• Participate in team and process improvement projects.
• Interact with product development teams to plan and implement tool and build improvements.
• Perform other duties as assigned.
While the job description describes what is anticipated as the requirements of the position, the job requirements are subject to change based upon any changing needs and requirements of the business.
Required Skills
• TFS 2017 vNext Builds or AzureDevOps Builds Process
• Must to have PowerShell 3.0+ Scripting knowledge
• Exposure on Build Tools like MSbuild, NANT, XCode.
• Exposure on Creating and Maintaining vCenter/VMware vSphere 6.5
• Hands On experiences on above Win2k12 OS and basic info on MacOS
• Good to have Shell or Batch Script (optional)
Required Experience
Candidates for this position should hold the following qualifications to be considered as a suitable applicant. Please note that except where specified as “preferred,” or as a “plus,” all points listed below are considered minimum requirements.
• Bachelors Degree in a related discipline is strongly preferred
• 3 or more years experience with Software Configuration Management tools, concepts, and processes.
• Exposure to Source control systems such as TFS, GIT, or Subversion (Optional)
• Familiarity with object-oriented concepts and programming in C# and Power Shell Scripting.
• Experience working on AzureDevOps Builds or vNext Builds or Jenkins Builds
• Experience working with developers to resolve development issues related to source control systems.
Machine Learning (ML)The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security.
Key Responsibilities
•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments
•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models
•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod
•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies
•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions
•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures
•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations
•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage
•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement
•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools
•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity
Required Qualifications
•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads
•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services
•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools
•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM)
•Scripting experience using PowerShell and/or Python
•Experience supporting production platforms with incident management, change control, and root cause analysis
•Understanding of cloud security fundamentals and enterprise governance requirements
Preferred Qualifications
•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks
•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS)
•Experience supporting data pipelines or feature stores used by machine learning systems
•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms
•Experience with observability tools
•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems
•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)
DevOps & Automation:
- Experience in CI/CD tools like Azure DevOps, YAML, Git, and GitHub. Capable of automating build, test, and deployment processes to streamline application delivery.
- Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep (preferred), Terraform, Ansible, and ARM Templates.
Cloud Services & Architecture:
- Experience in Azure Cloud services, including Web Apps, AKS, Application Gateway, APIM, and Logic Apps.
- Good understanding of cloud design patterns, security best practices, and cost optimization strategies.
Scripting & Automation:
- Experience in developing and maintaining automation scripts using PowerShell to manage, monitor, and support applications.
- Familiar with Azure CLI, REST APIs, and automating workflows using Azure DevOps Pipelines.
Data Integration & ADF:
- Working knowledge or basic hands-on experience with Azure Data Factory (ADF), focusing on developing and managing data pipelines and workflows.
- Knowledge of data integration practices, including ETL/ELT processes and data transformations.
Application Management & Monitoring:
- Ability to provide comprehensive support for both new and legacy applications.
- Proficient in managing and monitoring application performance using tools like Azure Monitor, Log Analytics, and Application Insights.
- Understanding of application security principles and best practices.
Database Skills:
- Basic experience of SQL and Azure SQL, including database backups, restores, and application data management.
DockerKubernetesAmazon Web Services (AWS)Key Responsibilities:
- Work with the development team to plan, execute and monitor deployments
- Capacity planning for product deployments
- Adopt best practices for deployment and monitoring systems
- Ensure the SLAs for performance, up time are met
- Constantly monitor systems, suggest changes to improve performance and decrease costs.
- Ensure the highest standards of security
Key Competencies (Functional):
- Proficiency in coding in atleast one scripting language - bash, Python, etc
- Has personally managed a fleet of servers (> 15)
- Understand different environments production, deployment and staging
- Worked in micro service / Service oriented architecture systems
- Has worked with automated deployment systems – Ansible / Chef / Puppet.
- Can write MySQL queries
Kubernetes
JenkinsDockerMTX Group Inc. is seeking a motivated DevOps Engineer to join our team. MTX Group Inc is a global cloud implementation partner that enables organizations to become a fit enterprise through digital transformation and strategy. MTX is powered by the Maverick.io Artificial Intelligence platform and has a strong presence in the Public Sector providing proprietary designs and innovative concept accelerators around licensing and permitting, inspections, grants management, case management, and program management. MTX is a strategic partner with Salesforce with specialty expertise in Einstein Analytics, Mulesoft, Customer Community, Commerce Cloud, and Marketing Cloud. MTX is a Google Cloud partner helping accelerate digital transformation programs across federal, state, and local government agencies.
The DevOps role is responsible for maintaining infrastructure and both development and operational deployments in multiple cloud environments for MTX Group, Inc. and their clients. This role adheres to and promotes MTX Group, Inc’s company’s values by performing respective duties in a manner that supports and contributes to the achievement of MTX Group, Inc’s company’s goals.
Responsibilities:
- Develop and manage tools and services to be used by the organization and by external users of the platform
- Automate all operational and repetitive tasks to improve efficiency and productivity of all development teams
- Research and propose new solutions to improve the the mavQ platform in aspects of speed, scalability and security
- Automate and manage the cloud infrastructure of the organization distribute across the globe and across multiple cloud providers such as Google Cloud and AWS
- Ensure thorough logging, monitoring and alerting for all services and code running in the organization
- Work with development teams to communications and protocols for distributes microservices
- Help development teams debug devops related issues
- Manage CI/CD, Source Control and IAM for the organization
What you will bring:
- Bachelor’s Degree or equivalent
- 4+ years of experience as a DevOps Engineer OR
- 2+ years of experience as backend developer and 2+ years of experience as DevOps or Systems engineer
- Hands on experience with Docker and Kubernetes
- Thorough understanding of operating systems and networking
- Theoretical and practical understanding of Infrastructure-as-code and Platform-as-a-service concepts
- Ability to understand and work with any service, tool or API as needed
- Ability to understand implementation of open source products and modify them if necessary
- Ability to visualize large scale distributed systems and debug issues or make changes to said systems
- Understanding and practical experience in managing CI/CD
What we offer:
- A competitive salary on par with top market standards
- 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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Kubernetes
Job Dsecription: (8-12 years)
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Deep understanding of Kernel, Networking and OS fundamentals
○ Strong experience in writing helm charts.
○ Deep understanding of K8s.
○ Good knowledge in service mesh.
○ Good Database understanding
Notice Period: 30 day max
GitHub
Angular (2+)Mandatory Requirement/ Preference:
1.PowerBuild technology experience with minimum 8+ years
- Excellent command on ASP.NET, Angular5/6/7/any version, MVC, Sql Server.
- Should have strong debugging skills on Developer Tools of the browser and Working with Cross Browser UI
4.Working knowledge of the Microsoft Windows Platform and Microsoft Office applications.
- Detailed technical knowledge of Angular any version, C#.Net (Visual Studio) development tools.
- Experience with DevExpress components desirable.
- Experience with DATA along with DevOps and GitHub.
- ANgularJS is different to Angular. AngularJS experience is not relevant to us
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