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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
We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.
The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.
Key Responsibilities
Cloud Architecture & Engineering
• Design and implement scalable, secure, and highly available solutions on Microsoft Azure.
• Define cloud architecture standards, reference architectures, and best practices.
• Lead cloud migration and modernisation initiatives across enterprise workloads.
• Implement multi-region disaster recovery and business continuity strategies.
• Oversee Azure networking, identity, security, and governance frameworks.
DevOps & CI/CD
• Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.
• Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.
• Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.
• Establish branching strategies, release management, and environment promotion standards.
• Define and enforce platform engineering standards and internal developer tooling.
AI & Machine Learning Integration
• Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.
• Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.
• Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.
• Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.
• Design and implement enterprise MLOps frameworks.
• Build automated model training, validation, deployment, and monitoring pipelines.
• Establish model governance and lifecycle management.
Generative AI & Agentic AI
- Design enterprise GenAI solutions using Azure OpenAI.
- Build AI Agents using Azure AI Foundry.
- Develop Agent-to-Agent communication patterns.
- Implement Retrieval Augmented Generation (RAG) architectures.
- Build enterprise Knowledge Management and AI Skill Registry platforms.
- Design multi-agent orchestration frameworks.
Leadership & Stakeholder Engagement
• Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.
• Mentor and guide junior architects, developers, and DevOps engineers.
• Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.
• Produce architecture documentation, decision records (ADRs), and roadmaps.
• Represent the technology function in enterprise architecture forums and governance boards.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in cloud engineering and architecture.
• 5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.
• Proven experience designing and implementing enterprise-grade CI/CD pipelines.
• Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).
• Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).
• Deep knowledge of DevSecOps principles, tools, and practices.
• Experience with containerisation and orchestration: Docker, Kubernetes (AKS).
• Proficiency in scripting and development: Python, PowerShell, Bash.
• Excellent communication and stakeholder management skills.
Preferred Qualifications
• Microsoft Certified: Azure Solutions Architect Expert.
• Microsoft Certified: DevOps Engineer Expert.
• Microsoft Certified: Azure AI Engineer Associate.
• Experience with Azure API Management (APIM), Event Grid, and Azure Functions.
• Familiarity with Datadog, Prometheus, or equivalent observability platforms.
• Experience in the real estate, retail, or enterprise industry sector.
• Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).
• Background in building Internal Developer Platforms (IDP).
Technical Skills
Domain
Technologies / Tools
Cloud Platform
Microsoft Azure (UAE North / Global)
DevOps & CI/CD
Azure DevOps, GitHub Actions, Jenkins
IaC
Terraform, Bicep, ARM Templates
AI / ML
Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services
Containers
Docker, Kubernetes (AKS), Azure Container Apps
Identity & Security
Microsoft Entra ID, Azure Policy, Defender for Cloud
Observability
Datadog, Azure Monitor, Log Analytics, Application Insights
Databases
Azure SQL, PostgreSQL, Cosmos DB
Languages
Python, PowerShell, Bash, YAML

JOB DETAILS:
* Job Title: Specialist I - DevOps Engineering
* Industry: Global Digital Transformation Solutions Provider
* Salary: Best in Industry
* Experience: 7-10 years
* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram
Job Description
Job Summary:
As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.
The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.
Key Responsibilities:
- Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
- Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
- Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
- Define migration scope — determine how much history to migrate and plan the repository structure.
- Manage branch renaming and repository organization for optimized post-migration workflows.
- Collaborate with development teams to determine migration points and finalize migration strategies.
- Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.
Required Qualifications:
- Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
- Hands-on experience with P4-Fusion.
- Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
- Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
- Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
- Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
- Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
- Familiarity with CI/CD pipeline integration to validate workflows post-migration.
- Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
- Excellent communication and collaboration skills for cross-team coordination and migration planning.
- Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.
Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools
Must-Haves
Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders
Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services
Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies, and risk management strategies
Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies
Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)
Experience with application discovery prefera bly with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies
Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc
Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline
Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost
Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution
Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred
Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.
Hands-on Experience with application build/release processes CI/CD pipelines
Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA
Additional Requirements:
Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral
Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice
Assist Sales and Marketing team in creating sales and marketing collateral
Write whitepapers and technology blogs to be published on social media and Intuitive website
Create case studies for projects successfully executed by Intuitive delivery team
Conduct sales enablement sessions to coach sales team on new offerings
Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams
Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings
Strong passion for modern technology exploration and development
Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
Experience with Multi-cloud (Azure, GCP, OCI) is a big plus
Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus
Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus
- Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
- Good experience on Build and release process and extensively involved in the CICD using
Jenkins
- Experienced on configuration management tools like Ansible.
- Designing, implementing and supporting fully automated Jenkins CI/CD
- Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
- Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
- Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
- Good knowledge in version control system in Git and GitHub.
- Good experience in build tools
- Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest
We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The
candidate will be responsible for automating the deployment of cloud infrastructure and services to
support application development and hosting (architecting, engineering, deploying, and operationally
managing the underlying logical and physical cloud computing infrastructure).
Location: Bangalore
Reporting Manager: VP, Engineering
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless,
microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
● Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with
a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team
● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud
Storage, Networking in general
● Collaborate with Product Management and Product Engineering teams to drive excellence in
Google Cloud products and features.
● Ensures efficient data storage and processing functions in accordance with company security
policies and best practices in cloud security.
● Ensuring scaled database setup/montioring with near zero downtime
Key Skills:
● Hands-on software development experience in Python, NodeJS, or Java
● 5+ years of Linux/Unix Administration monitoring, reliability, and security of Linux-based, online,
high-traffic services and Web/eCommerce properties
● 5+ years of production experience in large-scale cloud-based Infrastructure (GCP preferred)
● Strong experience with Log Analysis and Monitoring tools such as CloudWatch, Splunk,Dynatrace, Nagios, etc.
● Hands-on experience with AWS Cloud – EC2, S3 Buckets, RDS
● Hands-on experience with Infrastructure as a Code (e.g., cloud formation, ARM, Terraform,Ansible, Chef, Puppet) and Version control tools
● Hands-on experience with configuration management (Chef/Ansible)
● Experience in designing High Availability infrastructure and planning for Disaster Recovery solutions
Regards
Team Merito
Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
Specific responsibilities commensurate with experience and include:
- Ability to react quickly and effectively to identify and resolve issues that heavily impact CI/CD system (immediate mitigation of impact, long-term resolution including strategies for risk mitigation/monitoring/alert for proactive resolution of potential future occurrences)
- Design, develop, unit test, and implement build automation scripts including environment configuration validation processes
- Automate and improve development process by evaluation and introduction of new tools and scripts, and manage their life cycle and validation
- Determine branching strategy and maintain branches for various components, products, and product lines
- Come up with solutions to open-ended problems that focus on workflow improvements for the Software department
- Address issues with well-defined requirements efficiently; come up with short-term and long-term solutions and staged deployment strategies
- Self-driven-- takes action to move tickets from start to completion with minimal oversight
- Ability to communicate with and consider perspectives of stakeholders including but not limited to: IT, software development, verification
- Ability to break down a problem into smaller components and solve them in a logical, controlled, clearly explainable approach
- Lead the creation and maintenance of a pre-production environment as a testbed for build process improvements and changes before deployment to the production environment
- Gather metrics via direct input, data based on analysis of developer working habits analysis and pain points to assess current state and areas requiring further improvement
- Define chain of communication and immediate paths of action in the case of a build fault state
- Ability to work within constraints of the internal network without access to commercial cloud solutions
- Create metrics that define ‘efficiency’ and ‘reliability’ in measurable terms, and track them
- Perform static code and security analysis
- Design and execute unit tests and perform code coverage analysis
- Able to work in Agile development team environment
Key Requirement & Qualifications:
- Bachelor’s degree (or higher) in Electrical Engineering, Computer Engineering, Computer Science or equivalent
- 6+ years (minimum) experience handling Build, Release, and Deployment of software on Windows and/or Linux environments (on-premise)
- Experience with the development and deployment of CM processes and tools
- Build automation for .NET using TeamCity (Jenkins is an asset)
- Scripting languages: Windows batch scripting, Powershell, Ant/NAnt
- Source control systems usage, branching strategies, and workflow (Git preferred, Subversion)
- 6+ years of hands-on programming experience with C# and .NET (both Framework and Core)
- Troubleshooting and debugging-- what information to gather when there are issues with CI/CD system, and how to gather it (i.e., analyzing network communication? Windows crash dumps, java logs, etc.)
- 6+ years (minimum) in web/desktop application software development experience
- Excellent problem solving, critical and analytical thinking
- Strong team player who understands SDLC and QA methodologies
- A professional, results-oriented individual with a high degree of self-motivation
- Excellent written and verbal communication skills and the ability to coordinate work/activities with multiple software/IT teams
- Working with virtual machines and build management on virtual machines (VMware preferred).
- Managing configurations for multiple build environments
- OS administration and scripting experience (Windows is a must, Linux desired)
- Experience with test automation tools (NUnit, customer inhouse frameworks) and strategies is an asset
- Creation and maintenance of monitoring and alert systems (Zabbix)
- Familiarity with databases (SQL-based) - create, modify, optimize (via script)
- Data and metrics gathering, aggregation, and reporting
- Experience with work management and documentation tools: JIRA and Confluence
- Strong Understanding of Linux administration
- Good understanding of using Python or Shell scripting (Automation mindset is key in this role)
- Hands on experience with Implementation of CI/CD Processes
Experience working with one of these cloud platforms (AWS, Azure or Google Cloud) - Experience working with configuration management tools such as Ansible, Chef
Experience in Source Control Management including SVN, Bitbucket and GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus
Troubleshoot and triage development and Production issues - Understanding of micro-services is a plus
Roles & Responsibilities
- Implementation and troubleshooting on Linux technologies related to OS, Virtualization, server and storage, backup, scripting / automation, Performance fine tuning
- LAMP stack skills
- Monitoring tools deployment / management (Nagios, New Relic, Zabbix, etc)
- Infra provisioning using Infra as code mindset
- CI/CD automation






