AWS Devops Manager/Architect

We are looking for a skilled DevOps Engineer with solid experience in cloud infrastructure management, CI/CD pipelines, and deployment on Kubernetes. The ideal candidate will have a strong background in Azure cloud platforms, with proficiency in configuring, automating, and optimizing cloud deployments to ensure scalability, reliability, and security of our systems.

Responsibilities:

Design, implement, and manage CI/CD pipelines using Azure DevOps, GitHub, and Jenkins for automated deployments of applications and infrastructure changes.

Architect and deploy solutions on Kubernetes clusters (EKS and AKS) to support containerized applications and microservices architecture.

Build and manage CI CD pipelines for multi region, multi environment production applications

Scalable Application deployments, optimal infra configuration

Collaborate with development teams to streamline code deployments, releases, and continuous integration processes across multiple environments.

Configure and manage Azure services including Azure Synapse Analytics, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and other data services for efficient data processing and analytics workflows.

Utilize AWS services such as Amazon EMR, Amazon Redshift, Amazon S3, Amazon Aurora, IAM policies, and Azure Monitor for data management, warehousing, and governance.

Implement infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate provisioning and management of cloud resources.

Ensure high availability, performance monitoring, and disaster recovery strategies for cloud-based applications and services.

Develop and enforce security best practices and compliance policies, including IAM policies, encryption, and access controls across Azure environments.

Collaborate with cross-functional teams to troubleshoot production issues, conduct root cause analysis, and implement solutions to prevent recurrence.

Stay current with industry trends, best practices, and evolving technologies in cloud computing, DevOps, and container orchestration.

Requirements:

Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience.

5+ years of experience as a DevOps Engineer or similar role with hands-on expertise in AWS and Azure cloud environments.

Strong proficiency in Azure DevOps, Git, GitHub, Jenkins, and CI/CD pipeline automation.

Experience deploying and managing Kubernetes clusters (EKS, AKS) and container orchestration platforms with Helm & ArgoCD.

Deep understanding of cloud-native architectures, microservices, and serverless computing.

Familiarity with Azure Synapse, ADF, ADLS, and AWS data services (EMR, Redshift, Glue) for data integration and analytics.

Solid grasp of infrastructure as code (IaC) tools like Terraform, CloudFormation, or ARM templates.

Experience with monitoring tools (e.g., Prometheus, Grafana) and logging solutions for cloud-based applications.

Excellent troubleshooting skills and ability to resolve complex technical issues in production environments.

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)

• Minimum 3+ yrs of Experience in DevOps with AWS Platform
•     • Strong AWS knowledge and experience
•     • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
•     • Experience with IAC tools  Terraform
•     • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
•     • Significant experience with Linux operating system environments
•     • Experience with infrastructure scripting solutions such as Python/Shell scripting
•     • Must have experience in designing Infrastructure automation framework.
•     • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
•     • Excellent problem-solving, Log Analysis and troubleshooting skills
•     • Experience in setting up centralized logging for system (EKS, EC2) and application
•     • Process-oriented with great documentation skills
•     • Ability to work effectively within a team and with minimal supervision

Job description

Problem Statement-Solution

Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects. The internet has largely been in English. A good part of India is now getting internet connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users will balloon to about 600 million users out of the total 750 million internet users in India by 2020. This will make the vernacular segment one of the largest segments in the world - almost 2x the size of the US population. The vernacular segment has very few products that they can use on the internet.

One large human need is that of sharing thoughts and connecting with people of the same community on the basis of language and common interests. Twitter serves this need globally but the experience is mostly in English. There’s a large unaddressed need for these vernacular users to express themselves in their mother tongue and connect with others from their community. Koo is a solution to this problem.

About Koo

Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and English, which gives a voice to the millions of Indians who communicate in Indian languages.

Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and Telugu, Koo enables people from across India to express themselves online in their mother tongues. In a country where under 10% of the population speaks English as a native language, Koo meets the need for a social media platform that can deliver an immersive language experience to an Indian user, thereby enabling them to connect and interact with each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice assistant to share their thoughts without having to type. In August 2021, Koo crossed 10 million downloads, in just 16 months of launch.

Since June 2021, Koo is available in Nigeria.

1. 
   Founding Team

Koo is founded by veteran internet entrepreneurs - Aprameya Radhakrishna (CEO, Taxiforsure) and Mayank Bidawatka (Co-founder, Goodbox & Coreteam, redBus).

Technology Team & Culture

The technology team comprises sharp coders, technology geeks and guys who have been entrepreneurs or are entrepreneurial and extremely passionate towards technology. Talent is coming from the likes of Google, Walmart, Redbus, Dailyhunt. Anyone being part of a technology team will have a lot to learn from their peers and mentors. Download our android app and take a look at what we’ve built. Technology stack compromises of a wide variety of cutting-edge technologies like Kotlin, Java 15, Reactive Programming, MongoDB, Cassandra, Kubernetes, AWS, NodeJS, Python, ReactJS, Redis, Aerospike, ML, Deep learning etc. We believe in giving a lot of independence and autonomy to ownership-driven individuals.

Technology skill sets required for a matching profile 

• Experience between 3 to 7 years in a devops role with mandatory one or more stints at a fast paced startup.
• Mandatory experience with containers, kubernetes (EKS) (setting up from scratch), istio and microservices.
• Sound knowledge of technologies like Terraform, Automation Scripts, Cron jobs etc. Must have worked with goals of putting infra as code like setting up new environments with code.
• Knowledge of industry standards around monitoring, alerting, self healing, high availability, auto scaling etc.
• Exhaustive experience with various cloud technologies (especially on AWS) like SQS, SNS, Elastic Search, Elastic Cache, Elastic Transcoder, VPC, Subnets, Security groups etc.
• Must have set up stable CI-CD pipelines with capabilities to do zero downtime deployments on any one of rolling updates, blue green or canary modes.
• Experience with VPN and LDAP solutions for securely login to infrastructure and proving SSO. 8. Master of deploying and troubleshooting all layers of application from network, frontend, backend and databases (MongoDB, Redis, Postgres, Cassandra, ElasticSearch, Aerospike etc).

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Migration, Upgrade, Monitor, and Maintenance of ADS Instance
• Automation using REST API to build Extensions and Custom Reporting
• Expert in all Modules of Azure DevOps Server/Service (Work Item, SCM/VC, Build, Release, Test, Reporting Management)"

• CICD Orchestration tools and other SCM/VC tools

• Microsoft MCSD Application Lifecycle Management certified
• A bachelor or master degree with a minimum of 6 years relevant work experience in Azure DevOps Server/Services (SaaS)
• Good communication skills
• Strong knowledge of application lifecycle workflows and processes involved in the design, development, deployment, test, and maintenance of software systems in the Windows environment
• Visual Studio and the .NET Framework experience is required "

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Work with the user community to adopt new features, enable new use cases, and help resolve any issues
• Create customizations and tools to help support the team’s needs (PM, Dev, Test, & Ops)
• Take the lead in the validation of the application.
• Monitor the health of the solution and take proactive steps to ensure reliable availability and performance
• Manage patches and updates for tooling solutions and related hosting environments including the operating system
• Automate the process for Maintenance"

Roles and Responsibilities

• 5 - 8 years of experience in Infrastructure setup on Cloud, Build/Release Engineering, Continuous Integration and Delivery, Configuration/Change Management.
• Good experience with Linux/Unix administration and moderate to significant experience administering relational databases such as PostgreSQL, etc.
• Experience with Docker and related tools (Cassandra, Rancher, Kubernetes etc.)
• Experience of working in Config management tools (Ansible, Chef, Puppet, Terraform etc.) is a plus.
• Experience with cloud technologies like Azure
• Experience with monitoring and alerting (TICK, ELK, Nagios, PagerDuty)
• Experience with distributed systems and related technologies (NSQ, RabbitMQ, SQS, etc.) is a plus
• Experience with scaling data store technologies is a plus (PostgreSQL, Scylla, Redis) is a plus
• Experience with SSH Certificate Authorities and Identity Management (Netflix BLESS) is a plus
• Experience with multi-domain SSL certs and provisioning a plus (Let's Encrypt) is a plus
• Experience with chaos or similar methodologies is a plus

Job Description

• Experienced in Cloud (AWS, Digital Ocean, Google& Azure) development and System Operations.
• Cloud Storage Services and prior experience in designing and building infrastructure components in Amazon. DigitalOcean (or other cloud providers).
• Strong Linux experience (Red Hat 6.x/CentOS 5.x & 6.x, Debian).
• Expert Knowledge in - Git, Jenkins
• Should have experience in CI/CD Automation using tools like Jenkins, Ansible, puppet/Mcollective, Chef Docker, Kubernetes, GIT, Ansible, Terraform, Packer, Hashicorp Vault Docker, Kubernetes, Python Scripting etc.
• Good working knowledge with scripting languages such as Python, php
• Good communications and Presentation Skills

Preferred Education:

Bachelor's Degree or global equivalent in Computer Science or related field

• Mandatory: Docker, AWS, Linux, Kubernete or ECS
• Prior experience provisioning and spinning up AWS Clusters / Kubernetes
• Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
• Experience supporting a managed cloud services infrastructure
• Ability to maintain, monitor and optimise production database servers
• Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
• Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
• Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
• In-depth knowledge on Linux Environment.
• Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
• Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
• Experience in handling large production deployments and infrastructure.
• DevOps based infrastructure and application deployments experience.
• Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
• Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
• He/she should be able to validate that the environment meets all security and compliance controls.
• Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
• Proven written and verbal communication skills.
• Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
• Previous NOC experience.
• Client Facing Experience with excellent Customer Communication and Documentation Skills