Kubernetes
Docker
Amazon Web Services (AWS)As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.
You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code
Your Key Responsibilities
- Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
- Developing reusable Infrastructure code and testing frameworks
- Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
- Design a scalable Centralized Logging and Metrics platform
- Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.
What to Bring
- Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
- Experience in developing applications using programming languages like Java, Python and Go
- Experience in handling logs and metrics at a high scale.
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Navi Technologies
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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
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).
3. Candidate must have solid experience with Kubernetes.
4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.
5. Candidate must be an individual contributor with strong ownership.
6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.
7. Candidate must have working knowledge of Go/Python and Java.
8. Candidate should have working experience on Cloud platform - AWS
9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
KubernetesDocker
JenkinsAmazon Web Services (AWS)
Who you are
The possibility of having massive societal impact. Our software touches the lives of hundreds of millions of people.
Solving hard governance and societal challenges
Work directly with central and state government leaders and other dignitaries
Mentorship from world class people and rich ecosystems
Position : Architect or Technical Lead - DevOps
Location : Bangalore
Role:
Strong knowledge on architecture and system design skills for multi-tenant, multi-region, redundant and highly- available mission-critical systems.
Clear understanding of core cloud platform technologies across public and private clouds.
Lead DevOps practices for Continuous Integration and Continuous Deployment pipeline and IT operations practices, scaling, metrics, as well as running day-to-day operations from development to production for the platform.
Implement non-functional requirements needed for a world-class reliability, scale, security and cost-efficiency throughout the product development lifecycle.
Drive a culture of automation, and self-service enablement for developers.
Work with information security leadership and technical team to automate security into the platform and services.
Meet infrastructure SLAs and compliance control points of cloud platforms.
Define and contribute to initiatives to continually improve Solution Delivery processes.
Improve organisation’s capability to build, deliver and scale software as a service on the cloud
Interface with Engineering, Product and Technical Architecture group to meet joint objectives.
You are deeply motivated & have knowledge of solving hard to crack societal challenges with the stamina to see it all the way through.
You must have 7+ years of hands-on experience on DevOps, MSA and Kubernetes platform.
You must have 2+ years of strong kubernetes experience and must have CKA (Certified Kubernetes Administrator).
You should be proficient in tools/technologies involved for a microservices architecture and deployed in a multi cloud kubernetes environment.
You should have hands-on experience in architecting and building CI/CD pipelines from code check-in until production.
You should have strong knowledge on Dockers, Jenkins pipeline scripting, Helm charts, kubernetes objects and manifests, prometheus and demonstrate hands-on knowledge of multi cloud computing, storage and networking.
You should have experience in designing, provisioning and administrating using best practices across multiple public cloud offerings (Azure, AWS, GCP) and/or private cloud offerings ( OpenStack, VMware, Nutanix, NIC, bare metal Infra).
You should have experience in setting up logging, monitoring Cloud application performance, error rates, and error budgets while tracking adherence to SLOs and SLAs.
DockerKubernetesAmazon Web Services (AWS)Looking out for GCP Devop's Engineer who can join Immediately or within 15 days
Job Summary & Responsibilities:
Job Overview:
You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.
Experience:
Experience working on billing and budgets for a GCP project - MUST
Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
Experience in implementing the recommendations on GCP
Architect Certifications on GCP - MUST
Excellent communication skills (both verbal & written) - MUST
Excellent documentation skills on processes and steps and instructions- MUST
At least 2 years of experience on GCP.
Basic Qualifications:
● Bachelor’s/Master’s Degree in Engineering OR Equivalent.
● Extensive scripting or programming experience (Shell Script, Python).
● Extensive experience working with CI/CD (e.g. Jenkins).
● Extensive experience working with GCP, Azure, or Cloud Foundry.
● Experience working with databases (PostgreSQL, elastic search).
● Must have 2 years of minimum experience with GCP certification.
Benefits :
● Competitive salary.
● Work from anywhere.
● Learning and gaining experience rapidly.
● Reimbursement for basic working set up at home.
● Insurance (including top-up insurance for COVID).
Location :
Remote - work from anywhere.
Amazon Web Services (AWS)
KubernetesAmazon Web Services (AWS)Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
Django
Python
React.jsAmazon Web Services (AWS)- 3-6 years of relevant work experience in a DevOps role.
- Deep understanding of Amazon Web Services or equivalent cloud platforms.
- Proven record of infra automation and programming skills in any of these languages - Python, Ruby, Perl, Javascript.
- Implement DevOps Industry best practices and the application of procedures to achieve a continuously deployable system
- Continuously improve and increase the capabilities of the CI/CD pipeline
- Support engineering teams in the implementation of life-cycle infrastructure solutions and documentation operations in order to meet the engineering departments quality and standards
- Participate in production outages and handle complex issues and works towards resolution
PythonKubernetes
Programming
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon