Senior Azure Engineer

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

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)

• 3+ years hands-on Azure cloud & automation experience.
• Experience managing high-availability enterprise systems.
• Microsoft Azure (AKS, VNets, App Gateway, Load Balancers).
• Kubernetes (AKS) & Docker.
• Networking (VPN, DNS, routing, firewalls, NSGs).
• Infra-as-Code (Terraform / Bicep optional).
• Monitoring tools: Azure Monitor, Grafana, Prometheus.
• CI/CD: Azure DevOps, GitLab/Jenkins (added advantage).
• Security: Key Vault, certificates, encryption, RBAC.
• Understanding of PostgreSQL/PostGIS networking.
• Design and manage Azure infrastructure (VMs, VNets, NSGs, Load Balancers, AKS, Storage).
• Deploy and maintain AKS workloads for NiFi, PostGIS, and microservices.
• Architect secure network topology including VNet peering, VPNs, Private Endpoints, DNS & Zero Trust policies.
• Implement monitoring and alerting using Azure Monitor, Log Analytics, Grafana & Prometheus.
• Ensure high uptime, DR planning, backup and failover strategies.
• Automate deployments with Azure DevOps, Helm, ArgoCD & GitOps principles.
• Enforce security, RBAC, compliance, and audit standards across environments.
• Good to have knowledge/experince in Linux administration (Ubuntu/Debian).

KNOLSKAPE is looking for a DevOps Engineer to help us build Educational platforms and products that make learning experiential for leaders of the world.

DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, setting up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.

Ultimately, you will execute and automate operational processes fast, accurately, and securely.

Skills and Experience

• 2+ years of experience in building infrastructure experience with Cloud Providers ( AWS / Azure / GCP)
• Build and Deployment Management (Gitlab).
• Experience in writing automation scripts using Shell, Python, and Terraform based.
• Good experience in building pipelines with YAML-based knowledge of the GitLab environment.
• System Administration skill set.
• Docker/Kubernetes container infrastructure and orchestration
• Deploying/operating NodeJs/PHP/LAMP framework-based clusters with infrastructure.
• Monitoring, metrics collection, and distributed tracing
• Infrastructure as code” – Experience with Terraform preferred.
• Strong AWS Deployment Experience
• Provide system-level technical support
• Desire to learn new technologies while supporting existing
  
  

Roles and Responsibilities

• End to End-building CI/CD pipelines using tools like Jenkins and Jenkins Pipelines etc.
• Build CI/CD pipelines to orchestrate provisioning and deployment of both large scale systems
• Develop and implement instrumentation for monitoring the health and availability of services including fault detection, alerting, triage, and recovery (automated and manual)
• Develop, improve, and thoroughly document operational practices and procedures.
• Perform tasks related to securing and keeping the products, tools, and processes you are responsible for securing our infrastructure.
• Agile software development practices
• Understand IT processes, including architecture, design, implementation, and operations
• Open Source development experience
• Self-motivated, able and willing to help where help is needed
• Able to build relationships, be culturally sensitive, have goal alignment, have learning agility

Location: Bangalore

About KNOLSKAPE

KNOLSKAPE is an end-to-end learning and assessment platform for accelerated employee development. Our core belief is that desired business outcomes are achieved best when learning needs are aligned with business requirements, but traditional methodologies for capability development require a new, more updated approach. Keeping with this philosophy, we offer engaging, immersive, and experiential learning and assessment solutions - strategy cascading, business acumen, change management, leadership pipeline, digital capabilities, and talent assessments. Leveraging a blended omnichannel delivery model, KNOLSKAPE offers instructor-led classroom sessions, live virtual sessions, and self-paced courses to suit every learning need.

More than 300 clients in 25 countries have benefited from KNOLSKAPE's award-winning experiential solutions. A 120+ strong team based out of offices in Singapore, India, Malaysia, and the USA serves a rapidly growing global client base across industries such as banking and finance, consulting, IT, FMCG, retail, manufacturing, infrastructure, pharmaceuticals, engineering, auto, government and academia.

KNOLSKAPE is a global Top 20 gamification company, recipient of numerous Brandon Hall awards, and has been recognized as a company to watch for in the Talent Management Space, by Frost & Sullivan, and as a disruptor in the learning space, by Bersin by Deloitte.

Hands on Experience with Linux administration

Experience using Python or Shell scripting (for Automation) 

Hands-on experience with Implementation of CI/CD Processes 

Experience working  with one cloud platforms (AWS or Azure or Google) 

Experience working with configuration management tools such as Ansible & Chef 

Experience working with  Containerization tool Docker.

Experience working with Container Orchestration tool Kubernetes.

Experience in source Control Management including SVN and/or Bitbucket

& GitHub

Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools 

Hands-on experience in Linux, Scripting Language & AWS is mandatory

Troubleshoot and Triage development, Production issues

Responsibilities

- Building and maintenance of resilient and scalable production infrastructure 

- Improvement of monitoring systems

- Creation and support of development automation processes (CI / CD)

- Participation in infrastructure development 

- Detection of problems in architecture and proposing of solutions for solving them 

- Creation of tasks for system improvements for system scalability, performance and monitoring

- Analysis of product requirements in the aspect of devops 

- Managing a team of DevOps, control of task deliveries 

- Incident analysis and fixing 

Technology stack

Linux, Bash, Salt/Ansible, LXC, libvirt, IPsec, VXLAN, Open vSwitch, OpenVPN, OSPF, BIRD, Cisco NX-OS, Multicast, PIM, LVM, software RAID, LUKS, PostgreSQL, nginx, haproxy, Prometheus, Grafana, Zabbix, GitLab, Capistrano

Skills and Experience

- Understanding of the distributed systems principles 

- Understanding of principles for building a resistant network infrastructure 

- Experience of Ubuntu Linux administration (Debian-like will be a plus)

- Strong knowledge of Bash

- Experience of working with LXC-containers 

- Understanding and experience with infrastructure as a code approach 

- Experience of development idempotent Ansible roles

- Experience with relational databases (PostgeSQL), ability to create simple SQL queries 

- Experience with git

- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)

- Understanding of dynamic routing (OSPF)  

Preferred experience

- Experience of working with highload zero-downtown environments 

- Experience of coding on Python

- Experience of working with IPsec, VXLAN, Open vSwitch

- Knowledge and experience of working with network equipment Cisco

- Experience of working with Cisco NX-OS

- Knowledge of principles of multicast protocols IGMP, PIM

- Experience of setting multicast on Cisco equipment

- Experience of working with Solarflare Onload

- Experience administering Atlassian products

What will you do?  

• Setup, manage Applications with automation, DevOps, and CI/CD tools. 
• Deploy, Maintain and Monitor Infrastructure and Services. 
• Automate code and Infra Deployments. 
• Tune, optimize and keep systems up to date. 
• Design and implement deployment strategies. 
• Setup infrastructure in cloud platforms like AWS, Azure, Google Cloud, IBM cloud, Digital Ocean etc as per requirement.