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
Shubham Vishwakarma
Full Stack Developer - Averlon
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• Gather and analyse cloud infrastructure requirements
• Automating system tasks and infrastructure using a scripting language (Shell/Python/Ruby
preferred), with configuration management tools (Ansible/ Puppet/Chef), service registry and
discovery tools (Consul and Vault, etc), infrastructure orchestration tools (Terraform,
CloudFormation), and automated imaging tools (Packer)
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• Understanding of provisioning of Bare Metal and Virtual Machines
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JenkinsNumerator is a data and technology company reinventing market research. Headquartered in Chicago, IL, Numerator has 1,600 employees worldwide. The company blends proprietary data with advanced technology to create unique insights for the market research industry that has been slow to change. The majority of Fortune 100 companies are Numerator clients.
Job Description
What We Do and How?
We are a market research company, revolutionizing how it's done! We mix fast paced development and unique approaches to bring best practices and strategy to our technology. Our tech stack is deep, leveraging several languages and frameworks including Python, C#, Java, Kotlin, React, Angular, and Django among others. Our engineering hurdles sit at the intersection of technologies ranging from mobile, computer vision and crowdsourcing, to machine learning and big data analytics.
Our Team
From San Francisco to Chicago to Ottawa, our R&D team is comprised of talented individuals spanning across a robust tech stack. The R&D team is comprised of product, data analytics, engineers across Front End, Back End, DevOps, Business Intelligence, ETL, Data Science, Mobile Apps, and much more. Across these different groups we work towards one common goal: To build products into efficient and seamless user experiences that help our clients succeed.
Numerator is looking for a Infrastructure Engineer to join our growing team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platforms that handles millions of requests and massive amounts of data. In this position, you will be responsible for taking on new initiatives to automate, enhance, maintain, and scale services in a rapidly-scaling SaaS environment.
As a member of our team, you will make an immediate impact as you help build out and expand our technology platforms across several software products. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you and your team from inception through production.
Some of the technologies we frequently use include: Terraform, Ansible, SumoLogic, Kubernetes, and many AWS-native services.
• Develop and test the cloud infrastructure to scale a rapidly growing ecosystem.
• Monitor and improve DevOps tools and processes, automate mundane tasks, and improve system reliability.
• Provide deep expertise to help steer scalability and stability improvements early in the life-cycle of development while working with the rest of the team to automate existing processes that deploy, test, and lead our production environments.
• Train teams to improve self-healing and self-service cloud-based ecosystems in an evolving AWS infrastructure.
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• Develop comprehensive monitoring solutions to provide full visibility to the different platform components using tools and services like Kubernetes, Sumologic, Prometheus, Grafana.
• Identify and troubleshoot any availability and performance issues at multiple layers of deployment, from hardware, operating environment, network, and application.
• Work cross-functionally with various teams to improve Numerator’s infrastructure through automation.
• Work with other teams to assist with issue resolutions related to application configuration, deployment, or debugging.
• Lead by example and evangelize DevOps best practice within other engineering teams at Numerator.
Skills & Requirements
What you bring
• A minimum of 3 years of work experience in backend software, DevOps, or a related field.
• A passion for software engineering, automation and operations and are excited about reliability, availability and performance.
• Availability to participate in after-hours on-call support with your fellow engineers.
• Strong analytical and problem-solving mindset combined with experience troubleshooting large scale systems.
• Fundamental knowledge in networking; operating systems; package build system (IP subnets and routing, ACL’s, Core Ubuntu, PIP and NPM).
• Experience with automation technologies to build, deploy and integrate both infrastructure and applications (e.g., Terraform, Ansible).
• Experience using scripting languages like Python and *nix tools (Bash, sed/awk, Make).
• You enjoy developing and managing real-time distributed platforms and services that scale billions of requests.
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• A deep enthusiasm for the Cloud and DevOps and keen to get other people involved.
• Experience with scaling and operationalizing distributed data stores, file systems and services.
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• Experience in modern software paradigms including cloud applications and serverless architectures.
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• BS, MS or Ph.D. in Computer Science or a related field, or equivalent work experience.
Nice to haves
• Previous experience working with a geographically distributed software engineering team.
• Experience working with Jenkins or Circle-CI
• Experience with storage optimizations and management
• Solid understanding of building scalable, highly performant systems and services
• Expertise with big data, analytics, machine learning, and personalization.
• Start-up or CPG industry experience
If this sounds like something you would like to be part of, we’d love for you to apply! Don't worry if you think that you don't meet all the qualifications here. The tools, technology, and methodologies we use are constantly changing and we value talent and interest over specific experience.
Disclaimer: We do not charge any fee for employment and the same applies to the Recruitment Partners who we work with. Numerator is an equal opportunity employer. Employment decisions are based on merit. Additionally, we do not ask for any refundable security deposit to be paid in bank accounts for employment purposes. We request candidates to be cautious of misleading communications and not pay any fee/ deposit to individuals/ agencies/ employment portals on the pretext of attending Numerator interview process or seeking employment with us. These would be fraudulent in nature. Anyone dealing with such individuals/agencies/
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
DockerKubernetesAmazon Web Services (AWS)- 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.
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DockerKubernetesAmazon Web Services (AWS)About the company:
Tathastu, the next-generation innovation labs is Future Group’s initiative to provide a new-age retail experience - combining the physical with digital and enhancing it with data. We are creating next-generation consumer interactions by combining AI/ML, Data Science, and emerging technologies with consumer platforms.
The E-Commerce vertical under Tathastu has developed online consumer platforms for Future Group’s portfolio of retail brands -Easy day, Big Bazaar, Central, Brand factory, aLL, Clarks, Coverstory. Backed by our network of offline stores we have built a new retail platform that merges our Online & Offline retail streams. We use data to power all our decisions across our products and build internal tools to help us scale our impact with a small closely-knit team.
Our widespread store network, robust logistics, and technology capabilities have made it possible to launch a ‘2-Hour Delivery Promise’ on every product across fashion, food, FMCG, and home products for orders placed online through the Big Bazaar mobile app and portal. This makes Big Bazaar the first retailer in the country to offer instant home delivery on almost every consumer product ordered online.
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- You’ll streamline and automate the software development and infrastructure management processes and play a crucial role in executing high-impact initiatives and continuously improving processes to increase the effectiveness of our platforms.
- You’ll translate complex use cases into discrete technical solutions in platform architecture, design and coding, functionality, usability, and optimization.
- You will drive automation in repetitive tasks, configuration management, and deliver comprehensive automated tests to debug/troubleshoot Cloud AWS-based systems and BigData applications.
- You’ll continuously discover, evaluate, and implement new technologies to maximize the development and operational efficiency of the platforms.
- You’ll determine the metrics that will define technical and operational success and constantly track such metrics to fine-tune the technology stack of the organization.
Experience: 4 to 8 Yrs
Qualification: B.Tech / MCA
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- Experience with Linux/UNIX systems administration and Amazon Web Services (AWS).
- Infrastructure as Code (Terraform), Kubernetes and container orchestration, Web servers (Nginx, Apache), Application Servers(Tomcat,Node.js,..), document stores and relational databases (AWS RDS-MySQL).
- Site Reliability Engineering patterns and visibility /performance/availability monitoring (Cloudwatch, Prometheus)
- Background in and happy to work hands-on with technical troubleshooting and performance tuning.
- Supportive and collaborative personality - ability to influence and drive progress with your peers
Our Technology Stack:
- Docker/Kubernetes
- Cloud (AWS)
- Python/GoLang Programming
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MongoDBDockerAmazon Web Services (AWS)● Responsible for development, and implementation of Cloud solutions.
● Responsible for achieving automation & orchestration of tools(Puppet/Chef)
● Monitoring the product's security & health(Datadog/Newrelic)
● Managing and Maintaining databases(Mongo & Postgres)
● Automating Infrastructure using AWS services like CloudFormation
● Provide evidences in Infrastructure Security Audits
● Migrating to Container technologies (Docker/Kubernetes)
● Should have knowledge on serverless concepts (AWS Lambda)
● Should be able to work with AWS services like EC2, S3, Cloud-formation, EKS, IAM, RDS, ..etc
What you bring:
● Problem-solving skills that enable you to identify the best solutions.
● Team collaboration and flexibility at work.
● Strong verbal and written communication skills that will help in presenting complex ideas
in an accessible and engaging way.
● Ability to choose the best tools and technologies which best fits the business needs.
Aviso offers:
● Dynamic, diverse, inclusive startup environment driven by transparency and velocity
● Bright, open, sunny working environment and collaborative office space
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● Competitive salaries and company equity, and a focus on developing world class talent operations
● Comprehensive health insurance available (medical) for you and your family
● Unlimited leaves with manager approval and a 3 month paid sabbatical after 3 years of service
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● Every month Rupees 2,500 will be credited to Sudexo meal card
PythonAmazon Web Services (AWS)DockerRequired Skills and Experience
- 4+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
- 4+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
- Building and running Docker images and deployment on Amazon ECS
- Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
- Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
- Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
- Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
- Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
- Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
- Understanding of IAM, RBAC, NACLs, and KMS
- Good communication skills
Good to have:
- Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
- Knowledge of database administration such as MongoDB.
- Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.
- Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
- Establish and promote DevOps thinking, guidelines, best practices, and standards.
- Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.
Amazon Web Services (AWS)Your skills and experience should cover:
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5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
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Hands-on experience migrating data to the AWS cloud platform
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Experience with Scrum/Agile methodology.
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Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
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Experience with AWS Data Storage Tools.
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Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
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Experience working with GIT, or similar tools.
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Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
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Experience with Docker
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Experience with PostgreSQL database
Jenkins
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon