Azure DevOps + Python at Wissen Technology · Bengaluru (Bangalore) · 5 - 14 years · Profitable · Posted 30 Sep 2026

- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.
Screening Priority:
Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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We are looking for a hands-on Azure DevOps & Infrastructure Engineer to manage enterprise Azure environments, automate infrastructure, build CI/CD pipelines, and support cloud modernization initiatives.
🔑 Key Responsibilities
• Design, implement & support CI/CD pipelines and deployment automation
• Perform TFS / Azure DevOps Server → Azure DevOps Services migration
• Build & manage Azure infrastructure using Infrastructure as Code (IaC)
• Support Azure cloud infrastructure, networking, security, monitoring & production environments
• Drive cloud migration, application modernization & platform transformation initiatives
• Work with Terraform, containerization, DevSecOps & cloud automation
• Troubleshoot infrastructure/deployment issues and support incident & on-call operations
• Create technical documentation, runbooks and deployment standards
🎯 Mandatory Requirements
✅ AZ-204 – Azure Developer Associate – Mandatory
✅ 5–8 years total IT experience
✅ 3+ years hands-on Azure DevOps / Azure Infrastructure experience
✅ Strong experience in CI/CD & Azure DevOps
✅ Hands-on experience with TFS / Azure DevOps Server to Azure DevOps Services migration
✅ Strong understanding of Azure cloud infrastructure & cloud operations
✅ Experience with IaC, provisioning & infrastructure automation
✅ Exposure to cloud/data migration and application modernization
✅ Experience supporting Azure networking, security & monitoring
✅ Experience in production support / managed services / cloud operations
✅ Willingness to work UK/US shifts and participate in on-call support
⭐ Preferred / Optional
• AZ-400 – Microsoft Certified DevOps Engineer Expert
• AZ-104 – Azure Administrator Associate
• HashiCorp Terraform Associate
• Container platforms, orchestration & DevSecOps experience
🎓 Education: Bachelor's degree in Computer Science / IT / Engineering or related field.
Cloud Expertise(Azure):
• Strong understanding of cloud services and resources like AI services, webapp, database, including monitoring tools like Azure Monitor and Log Analytics.
• Experience with Infrastructure as Code (IaC) tools such as Arm template / Bicep/Terraform.
• Deep understanding of Networking concepts(DNS, DHCP , Hub and Spoke).
• Understanding on policies and security aspects of cloud.
Kubernetes & Helm:
• In-depth knowledge of Kubernetes concepts such as pods, services, ingress, config maps, and secrets.
• Understand of Kubernetes templates and its deployment.
• Proficiency with Helm/ Kustomize or equivalent for Kubernetes package management and deployment automation.
• Implement Kubernetes best practices, including security, networking, and scaling.
• Concepts of Docker and Containers
CI/CD & Programming:
• Hands-on experience with YAML-based CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).
• Familiarity with scripting and automation tools such as PowerShell, Azure CLI, or Bash.
• Proven skill in python programming and concepts.
Monitoring and Observability:
Expertise in creating and managing Grafana dashboards for visualizing metrics and logs.
• Knowledge of Log Analytics & Azure Application Insights for performance monitoring and tracing.
🚀 Hiring: Senior Azure Platform Engineer | Azure | Terraform | Kubernetes
📍 Location: India
💼 Employment: Full-Time | Long-Term
🎯 Experience: 10+ Years | 8+ Years Hands-on Azure
🔑 What We’re Looking For
▪️ Strong expertise in Azure Cloud Platform & Landing Zone Architecture
▪️ Advanced hands-on experience with Terraform & reusable IaC modules
▪️ Expertise in Kubernetes, Helm & container platforms
▪️ Strong understanding of Azure Networking, Entra ID, RBAC & Azure Policy
▪️ Experience with GitHub, GitHub Actions / Azure Pipelines & CI/CD
▪️ Hands-on GitOps & ArgoCD experience
▪️ Strong observability skills with Prometheus, Grafana & Azure Monitor
▪️ Experience designing and supporting microservices architectures
▪️ Knowledge of security, policy-as-code and IaC security scanning
▪️ Exposure to Azure Arc / Azure Local / Azure Stack HCI is a plus
Azure DevOps Engineer
Experience
5-10 years of hands-on experience in Platform Engineering, Cloud Engineering, SRE, DevOps or Infrastructure Engineering roles.
Priority 1 – Must Have (Hands-On)
Azure Cloud Platform
· Strong hands-on experience supporting Azure workloads in production environments.
· Experience designing, building and supporting Azure infrastructure using Terraform.
· Good understanding of Azure networking and connectivity patterns.
· Experience supporting:
Ø AKS
Ø Application Gateway
Ø Azure Traffic Manager
Ø Key Vault
Ø Azure Monitor / Log Analytics
Ø Managed Identities
Ø Service Principals
Ø Private Endpoints
Ø VNets, NSGs and Route Tables
Kubernetes / AKS
- Strong practical experience operating and supporting AKS.
- Ability to troubleshoot:
Ø Pod failures
Ø Ingress issues
Ø DNS issues
Ø SSL/TLS certificate issues
Ø Network routing issues
Ø Performance and availability incidents
- Experience with:
Ø Helm
Ø Ingress Controllers
Ø Cluster upgrades
Ø Scaling
Ø Monitoring
Terraform
· Strong hands-on experience writing and maintaining Terraform.
· Experience creating reusable modules.
· Experience managing:
· State files
· Remote backends
· Environment promotion
· Infrastructure lifecycle
Linux & Scripting
· Strong Linux administration fundamentals.
· Practical experience troubleshooting production issues.
· Bash scripting mandatory.
· Python desirable.
Application Support / Troubleshooting
Must be comfortable supporting business applications end-to-end.
Priority 2 – Highly Desirable
GitHub & DevOps Platform
Hands-on experience with:
· GitHub Enterprise
· GitHub Actions
· Shared workflows
· Reusable pipelines
· Repository onboarding
· Branch protections
· GitHub security features
Experience supporting:
· Runner issues
· Disk space issues
· Network connectivity issues
· Dependency failures
· Self-hosted runners lifecycle management
API Management
Pipeline failures
GitOps
Experience with:
· ArgoCD
· GitOps deployment models
· Kubernetes deployment automation
Monitoring & Observability
Experience working with:
· Prometheus
· Grafana
· Azure Monitor
· Log Analytics
· Application Insights
Job Description:
- Job title : Senior DevOps Engineer (On-Premises Automation)
- Experience: 8+ years
- Location: Chennai / Pune / Hyderabad / Bangalore
- Shift: UK Shift
- Work Mode: Onsite (WFO)
Roles and Responsibilities:
- This engagement automates end-to-end infrastructure build provisioning across on-prem and Azure. The team will build a shared ServiceNow-led intake, approval, orchestration, and closed-loop status model, using Jenkins/Ansible for on-prem builds and Azure DevOps/Terraform for cloud builds. Automation includes standards, security/compliance controls, scan gates, CMDB/change updates, and handover.
Key Responsibilities:
- Lead secure and repeatable on-prem build provisioning pipelines
- Lead Jenkins CI/CD for automated on-prem provisioning and configuration.
- Create pipeline templates for VM/physical host, OS deployment, configuration, certification, and rollback.
- Embed hardened-image validation, scan gates, secrets handling, approvals, and audit evidence.
- Lead Ansible roles, PowerShell modules, test automation, and code reviews.
- Implement logging, monitoring, and root-cause analysis; support UAT and hypercare.
Required Qualifications:
- 8–10 years in DevOps, platform engineering, or infrastructure automation.
- Bachelor’s degree or equivalent experience.
- Jenkins
- Git, CI/CD
- Ansible, PowerShell
- Python, IaC
- security scanning, secrets management
- Windows/Linux.
We are seeking a highly skilled Senior DevOps Engineer with 8+ years of professional experience to join our team. In this role, you will design, implement, and optimize cloud infrastructure and CI/CD processes.
You will collaborate closely with development, QA, and operations teams to deliver scalable, secure, automated, and reliable solutions on AWS.
The ideal candidate will have strong hands-on experience with AWS, Terraform, Git/GitHub, Jenkins, PowerShell, Python, AWS Systems Manager (SSM) Documents, and Active Directory (AD) administration, along with a passion for automation, efficiency, and operational excellence.
Key Responsibilities
- Design, build, and maintain scalable cloud infrastructure on AWS.
- Develop and manage Infrastructure as Code (IaC) using Terraform.
- Build, maintain, and optimize CI/CD pipelines using Jenkins and GitHub.
- Use AWS Systems Manager (SSM) to support operational automation and system administration.
- Automate system tasks and administrative workflows using PowerShell and other scripting languages.
- Create, maintain, and execute custom SSM Documents for configuration management, patching, automation, and troubleshooting.
- Manage and administer Active Directory (AD), including users, groups, permissions, policies, authentication, and integration with AWS services.
- Implement and manage version-control workflows in Git and GitHub.
- Ensure infrastructure and deployment processes follow best practices for security, reliability, scalability, and cost optimization.
- Monitor and troubleshoot production systems to ensure high availability, performance, and reliability.
- Collaborate with development teams to improve software delivery processes and release management.
- Mentor junior engineers and contribute to the development of DevOps standards and best practices.
Required Skills and Experience
- 8+ years of professional experience, including at least 4 years in DevOps or Site Reliability Engineering (SRE) roles.
- Strong hands-on experience with AWS services, including EC2, VPC, IAM, S3, EKS, Lambda, and related services.
- Proven expertise in Terraform for Infrastructure as Code.
- Experience administering both Linux and Windows operating systems.
- Experience designing and managing CI/CD pipelines using Jenkins and GitHub.
- Proficiency with Git workflows and source-code management best practices.
- Strong PowerShell scripting skills; familiarity with Python and/or Bash is a plus.
- Experience with AWS Systems Manager (SSM), including creating and managing SSM Documents.
- Hands-on experience managing Active Directory, including users, groups, policies, authentication, permissions, and AWS integration.
- Solid understanding of cloud networking, security, monitoring, and troubleshooting.
- Excellent problem-solving, communication, collaboration, and decision-making skills.
Nice-to-Have Skills
- Experience with containerization and orchestration technologies, such as Docker, Kubernetes, and Amazon EKS.
- Knowledge of monitoring and observability tools, such as Amazon CloudWatch, New Relic, and Sumo Logic.
- An AWS certification, such as AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect.
Who You Are
- You are eager to learn new technologies and continuously improve your skills.
- You make sound decisions and take ownership of your work.
- You are proactive, self-motivated, and comfortable taking initiative.
- You are a strong communicator who enjoys collaborating with cross-functional teams.
- You are committed to improving processes, automation, reliability, and operational efficiency.
Primary (Must Have):
5-7 years of total experience in IT industry
Necessary to have exposure to Azure Cloud
5-7 years of experience Build/Release and DevOps combined for Saas/Web/Desktop applications
5-7 years working with CI / CD like Jenkins or Bamboo or other tools
Experience in Kubernetes, Swarm and Docker
Experience in working with Linux (Centos/Ubuntu)
Experience with configuration and management tools (i.e. Terraform, Ansible, Salt)
Experience in architecting, maintaining, and streamlining our automated build and release pipeline from code compilation, automated testing, to deploying releases to multiple environments
You should be able to drive adoption of CI/CD, deployment automation, and release engineering standard methodologies
Detail-oriented and great problem solver
Comfortable giving feedback to team members and handling personal situations
Excellent at multi-tasking and able to handle competing priorities
Problem solving, digging into issues and owning tasks to completion
Strong team player who is open to give and receive feedback
A passion for technology and thrives in a dynamic environment with a focus on creative innovation over absolute completion
Communication and presentation skills
Key Responsibilities:
Responsible for the continuous and on-time delivery of application releases supporting mission-critical services
Support and improve our tools for continuous integration (CI) and continuous delivery (CD). You can demonstrate measurable improvements in our delivery pipelines
Responsible for navigating cloud solutions, on-premise solutions, and hybrid solutions
Responsible for infrastructure as code (IaC) tooling
Build automated release pipelines that package, test and deploy code
Build out and maintain a suitable tracking dashboards and metrics
Amura’s Vision
We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.
Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.
Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.
These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.
We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.
Role Overview
We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.
This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.
You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability.
Key Responsibilities
Cloud Infrastructure & Platform Engineering (AWS)
- Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
- Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
- Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
- Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
- Build reusable platform templates and shared infrastructure modules.
AI/ML Infrastructure & MLOps
- Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
- Support GPU-based workloads and optimize compute/storage usage.
- Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
- Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines.
CI/CD, Automation & Developer Productivity
- Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
- Automate deployments, environment provisioning, and release workflows.
- Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
- Implement automated patching, scaling, backups, cleanup workflows, and drift detection.
Containers, Kubernetes & Platform Reliability
- Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
- Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
- Optimize infrastructure for performance, resilience, and cost-efficiency.
- Implement progressive deployment strategies including blue/green, canary, and rolling deployments.
Observability, Incident Response & SRE Practices
- Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
- Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
- Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.
FinOps, Cost Governance & Security
- Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
- Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
- Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.
Collaboration, Leadership & Platform Culture
- Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
- Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.
Skills & Qualifications
Must-Have:
- 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
- Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
- Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.
Preferred / Nice-to-Have:
- Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
- Familiarity with Kafka, Redis, SQS, and event-driven systems.
- Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
- AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations.
Preferred / Nice-to-Have:
- Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
- Familiarity with Kafka, Redis, SQS, and event-driven systems.
- Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
- AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations.
Here are answers to some questions you may have
Where is your office?
Chennai (Velachery)
Work Model
Work from Office – because great stories are built in person!
Do you have an online presence?
https://amura.ai (we are @AmuraHealth on all social media)
Job Description:
Job title : Cloud Architect
Experience: 10+ years
Location: Chennai / Pune / Hyderabad / Bangalore
Shift: UK Shift
Work Mode: Onsite(WFO)
Notice Period: Immediate Joiner/ serving notice period only
Project Scope:
This engagement automates end-to-end infrastructure build provisioning across on-prem and Azure. The team will build a shared ServiceNow-led intake, approval, orchestration, and closed-loop status model, using Jenkins/Ansible for on-prem builds and Azure DevOps/Terraform for cloud builds. Automation includes standards, security/compliance controls, scan gates, CMDB/change updates, and handover.
Roles and Responsibilities:
Define Azure automation architecture, governance, and reusable cloud build patterns.
Own Azure architecture for automated build provisioning using the ServiceNow-led control plane.
Define approved build patterns, SKUs, landing-zone integration, Terraform standards, Azure DevOps architecture, and guardrails.
Translate security, compliance, resiliency, tagging, cost, and data-residency requirements into automated controls.
Design ServiceNow, rules engine, Azure DevOps, Terraform, Azure Policy, CMDB, and callback integrations.
Review solution designs and assure quality with cloud, security, finance, and platform teams.
Required Skills:
Azure landing zones, networking, RBAC, Key Vault, Azure Policy, Terraform, Azure DevOps, FinOps, ServiceNow APIs.
10+ years in infrastructure/cloud engineering; 5+ years designing Azure solutions.
Bachelor’s degree or equivalent experience; Azure Solutions Architect certification preferred.
Work Mode: WORK FROM OFFICE
Interview Mode: Virtual
Role Descriptions:
Exp Range: 5 - 8 years
City Locations: Bengaluru
*Key Responsibilities*
Devops Developer (Azure)
Azure L2 Support | Specialist | Infrastructure Operations-260006F2- Certificate & DNS Management- Monitoring & Observability- Azure Operations & Compliance- Migration: Open Cloud TnC- Reliability & Operations Excellence (OPS)
Profile – 5 to 8+ years in Cloud/Infrastructure Operations- Strong hands-on Azure skills- Certificates/PKI experience- DNS management- Grafana| Health Checks| Azure Monitor- IaC automation (Terraform/Bicep)- Networking fundamentals Nice-to-Have- Azure security and compliance- AKS monitoring basics- FinOps practices- French reading proficiency- Certifications: AZ-104| AZ-305| etc.
Desire candidate
- Candidate should have valid PF.






