
About the Role
We are seeking motivated DevOps Interns to join our team remotely for a 3-month internship. This internship provides hands-on experience with cloud platforms, CI/CD pipelines, and automation tools. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.
Responsibilities
- Assist in setting up and managing CI/CD pipelines.
- Work with cloud infrastructure (AWS, Azure, or Google Cloud).
- Support deployment, monitoring, and scaling of applications.
- Automate routine operational tasks using scripts and tools.
- Collaborate with developers to improve build and release processes.
- Help maintain system reliability, security, and performance.
- Document workflows, configurations, and best practices.
Requirements
- Basic understanding of Linux/Unix systems and shell scripting.
- Familiarity with version control (Git/GitHub).
- Knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or similar).
- Exposure to containerization tools like Docker (Kubernetes knowledge is a plus).
- Understanding of cloud services (AWS, Azure, or GCP preferred).
- Problem-solving skills and willingness to learn quickly.
- Ability to work independently in a remote setup.
What You’ll Gain
- Real-world exposure to DevOps tools and workflows.
- Mentorship and guidance from experienced engineers.
- Completion Certificate after the internship.
- Letter of Recommendation based on performance.
- Opportunity to strengthen your resume and portfolio.
Internship Details
- Duration: 3 months
- Location: Remote (Work from Home)
- Stipend: Unpaid
- Perks: Completion Certificate + Letter of Recommendation

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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).
staging, QA, and development of cloud infrastructures running in 24×7 environments.
● Most of our deployments are in K8s, You will work with the team to run and manage multiple K8s
environments 24/7
● Implement and oversee all aspects of the cloud environment including provisioning, scale,
monitoring, and security.
● Nurture cloud computing expertise internally and externally to drive cloud adoption.
● Implement systems solutions, and processes needed to manage cloud cost, monitoring, scalability,
and redundancy.
● Ensure all cloud solutions adhere to security and compliance best practices.
● Collaborate with Enterprise Architecture, Data Platform, DevOps, and Integration Teams to ensure
cloud adoption follows standard best practices.
Responsibilities :
● Bachelor’s degree in Computer Science, Computer Engineering or Information Technology or
equivalent experience.
● Experience with Kubernetes on cloud and deployment technologies such as Helm is a major plus
● Expert level hands on experience with AWS (Azure and GCP experience are a big plus)
● 10 or more years of experience.
● Minimum of 5 years’ experience building and supporting cloud solutions
Bito is a startup that is using AI (ChatGPT, OpenAI, etc) to create game-changing productivity experiences for software developers in their IDE and CLI. Already, over 100,000 developers are using Bito to increase their productivity by 31% and performing more than 1 million AI requests per week.
Our founders have previously started, built, and taken a company public (NASDAQ: PUBM), worth well over $1B. We are looking to take our learnings, learn a lot along with you, and do something more exciting this time. This journey will be incredibly rewarding, and is incredibly difficult!
We are building this company with a fully remote approach, with our main teams for time zone management in the US and in India. The founders happen to be in Silicon Valley and India.
We are hiring a DevOps Engineer to join our team.
Responsibilities:
- Collaborate with the development team to design, develop, and implement Java-based applications
- Perform analysis and provide recommendations for Cloud deployments and identify opportunities for efficiency and cost reduction
- Build and maintain clusters for various technologies such as Aerospike, Elasticsearch, RDS, Hadoop, etc
- Develop and maintain continuous integration (CI) and continuous delivery (CD) frameworks
- Provide architectural design and practical guidance to software development teams to improve resilience, efficiency, performance, and costs
- Evaluate and define/modify configuration management strategies and processes using Ansible
- Collaborate with DevOps engineers to coordinate work efforts and enhance team efficiency
- Take on leadership responsibilities to influence the direction, schedule, and prioritization of the automation effort
Requirements:
- Minimum 4+ years of relevant work experience in a DevOps role
- At least 3+ years of experience in designing and implementing infrastructure as code within the AWS/GCP/Azure ecosystem
- Expert knowledge of any cloud core services, big data managed services, Ansible, Docker, Terraform/CloudFormation, Amazon ECS/Kubernetes, Jenkins, and Nginx
- Expert proficiency in at least two scripting/programming languages such as Bash, Perl, Python, Go, Ruby, etc.
- Mastery in configuration automation tool sets such as Ansible, Chef, etc
- Proficiency with Jira, Confluence, and Git toolset
- Experience with automation tools for monitoring and alerts such as Nagios, Grafana, Graphite, Cloudwatch, New Relic, etc
- Proven ability to manage and prioritize multiple diverse projects simultaneously
What do we offer:
At Bito, we strive to create a supportive and rewarding work environment that enables our employees to thrive. Join a dynamic team at the forefront of generative AI technology.
· Work from anywhere
· Flexible work timings
· Competitive compensation, including stock options
· A chance to work in the exciting generative AI space
· Quarterly team offsite events
- Extensive experience in designing & supporting Azure Managed Services Operations.
- Maintaining the Azure Active Directory and Azure AD authentication.
- Azure update management – Handling updates/Patching.
- Good understanding of Azure services (Azure App Service, Azure SQL, Azure Storage Account..etc).
- Understanding of load balancers, DNS, virtual networks, NSG and firewalls in cloud environment.
- ARM templates writing, setup automation for resources provisioning.
- Knowledge on Azure automation and Automation Desire State Configuration.
- Good understanding of High Availability and Auto scaling.
- Azure Backups and ASR (Azure Site Recovery)
- Azure Monitoring and Configuration monitoring (performance metrics, OMS)
- Cloud Migration Experience(On premise to Cloud).
- PowerShell scripting for custom tasks automation.
- Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems.
Certification:
Azure Administrator (AZ-103) & Azure Architect (AZ-300 & AZ-301)
We are looking for an experienced DevOps (Development and Operations) professional to join our growing organization. In this position, you will be responsible for finding and reporting bugs in web and mobile apps & assist Sr DevOps to manage infrastructure projects and processes. Keen attention to detail, problem-solving abilities, and a solid knowledge base are essential.
As a DevOps, you will work in a Kubernetes based microservices environment.
Experience in Microsoft Azure cloud and Kubernetes is preferred, not mandatory.
Ultimately, you will ensure that our products, applications and systems work correctly.
Responsibilities:
- Detect and track software defects and inconsistencies
- Apply quality engineering principals throughout the Agile product lifecycle
- Handle code deployments in all environments
- Monitor metrics and develop ways to improve
- Consult with peers for feedback during testing stages
- Build, maintain, and monitor configuration standards
- Maintain day-to-day management and administration of projects
- Manage CI and CD tools with team
- Follow all best practices and procedures as established by the company
- Provide support and documentation
Required Technical and Professional Expertise
- Minimum 2+ years if DevOps
- Have experience in SaaS infrastructure development and Web Apps
- Experience in delivering microservices at scale; designing microservices solutions
- Proven Cloud experience/delivery of applications on Azure
- Proficient in configuration Management tools such as Ansible or any of Terraform Puppet, Chef, Salt, etc
- Hands-on experience in Networking/network configuration, Application performance monitoring, Container performance, and security.
- Understanding of Kubernetes, Python along with scripting languages like bash/shell
- Good to have experience in Linux internals, Linux packaging, Release Engineering (Branching, versioning, tagging), Artifact repository, Artifactory, Nexus, and CI/CD tooling (Concourse CI, Travis, Jenkins)
- Must be a proactive person
- You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies
- An ambitious individual who can work under their own direction towards agreed targets/goals and with a creative approach to work.
- An intuitive individual with an ability to manage change and proven time management
- Proven interpersonal skills while contributing to team effort by accomplishing related results as needed.
Position Level: Senior Engineer
Company Overview:
AskSid.ai is a 4 years old start-up based in Bangalore, is fast growing and cofounded by
two ex-Mindtree employees each with 20+ years of experience. We were rated the No1
emerging SaaS company in India and won the NASSCOM EMERGE 50- League of 10
awards in 2019. Also got rated as the most innovative AI company in India for 2020 by
CII and Accenture Ventures. As a growing company, we are looking for passionate
engineers who aspire to build world class technology products of internet scale.
Job purpose:
Setup, optimize, and maintain Kubernetes clusters on Microsoft Azure Cloud.
Responsibilities
● Setup, maintain, optimize, and secure various Kubernetes clusters on MS Azure
Cloud
● Setup and maintain containers, container availability, auto-scalability, storage
management, DNS, Proxy setup and maintain firewall, app gateway, and load
balancers on MS Azure Cloud.
● Build and manage backup, restore, and DR activities
Knowledge and skills
Education and Experience
- Engineering in computer science
- 3-5 years of experience in setup and management of Kubernetes infrastructure
- Expert level skills in analytical & problem solving
- Ability to communicate clearly in English
- Microsoft Azure
- Kubernetes, AKS services as well as custom clusters on bare metal infrastructure
- Linux internals & services
- Docker, Docker Registry
- NGINX, Load Balancing, Firewall, Security, PKI
- Shell & Awk Script, Azure Templates & scripting, Python Scripting
- Knowledge of NoSQL Databases
Should be open to embracing new technologies, keeping up with emerging tech.
Strong troubleshooting and problem-solving skills.
Willing to be part of a high-performance team, build mature products.
Should be able to take ownership and work under minimal supervision.
Strong Linux System Administration background (with minimum 2 years experience), responsible for handling/defining the organization infrastructure(Hybrid).
Working knowledge of MySQL databases, Nginx, and Haproxy Load Balancer.
Experience in CI/CD pipelines, Configuration Management (Ansible/Saltstack) & Cloud Technologies (AWS/Azure/GCP)
Hands-on experience in GitHub, Jenkins, Prometheus, Grafana, Nagios, and Open Sources tools.
Strong Shell & Python scripting would be a plus.
About the client :
Asia’s largest global sports media property in history with a global broadcast to 150+ countries. As the world’s largest martial arts organization, they are a celebration of Asia’s greatest cultural treasure, and its deep-rooted Asian values of integrity, humility, honor, respect, courage, discipline, and compassion. Has achieved some of the highest TV ratings and social media engagement metrics across Asia with its unique brand of Asian values, world-class athletes, and world-class production. Broadcast partners include Turner Sports, Star India, TV Tokyo, Fox Sports, ABS-CBN, Astro, ClaroSports, Bandsports, Startimes, Premier Sports, Thairath TV, Skynet, Mediacorp, OSN, and more. Institutional investors include Sequoia Capital, Temasek Holdings, GIC, Iconiq Capital, Greenoaks Capital, and Mission Holdings. Currently has offices in Singapore, Tokyo, Los Angeles, Shanghai, Milan, Beijing, Bangkok, Manila, Jakarta, and Bangalore.
Position : Devops Engineer – SDE3
As part of the engineering team, you would be expected to have deep technology expertise with a passion for building highly scalable products. This is a unique opportunity where you can impact the lives of people across 150+ countries!
Responsibilities
• Develop Collaborate in large-scale systems design discussions.
• Deploying and maintaining in-house/customer systems ensuring high availability, performance and optimal cost.
• Automate build pipelines. Ensuring right architecture for CI/CD
• Work with engineering leaders to ensure cloud security
• Develop standard operating procedures for various facets of Infrastructure services (CI/CD, Git Branching, SAST, Quality gates, Auto Scaling)
• Perform & automate regular backups of servers & databases. Ensure rollback and restore capabilities are Realtime and with zero-downtime.
• Lead the entire DevOps charter for ONE Championship. Mentor other DevOps engineers. Ensure industry standards are followed.
Requirements
• Overall 5+ years of experience in as DevOps Engineer/Site Reliability Engineer
• B.E/B.Tech in CS or equivalent streams from institute of repute
• Experience in Azure is a must. AWS experience is a plus
• Experience in Kubernetes, Docker, and containers
• Proficiency in developing and deploying fully automated environments using Puppet/Ansible and Terraform
• Experience with monitoring tools like Nagios/Icinga, Prometheus, AlertManager, Newrelic
• Good knowledge of source code control (git)
• Expertise in Continuous Integration and Continuous Deployment setup using Azure Pipeline or Jenkins
• Strong experience in programming languages. Python is preferred
• Experience in scripting and unit testing
• Basic knowledge of SQL & NoSQL databases
• Strong Linux fundamentals
• Experience in SonarQube, Locust & Browserstack is a plus
- JD: • 10+ years of overall industry experience
• 5+ years of cloud experience
• 2+ years of architect experience
• Varied background preferred between systems and development
o Experience working with applications, not pure infra experience
• Azure experience – strong background using Azure for application migrations
• Terraform experience – should mention automation technologies in job experience
• Hands on experience delivering in the cloud
• Must have job experience designing solutions for customers
• IaaS Cloud architect
workload migrations to AWS and/or Azure
• Security architecture considerations experience
• CI/CD experience
• Proven applications migration track of record.
Experience: 12 - 20 years
Responsibilities :
The Cloud Solution Architect/Engineer specializing in migrations is a cloud role in the project delivery cycle with hands on experience migrating customers to the cloud.
Demonstrated experience in cloud infrastructure project deals for hands on migration to public clouds such as Azure.
Strong background in linux/Unix and/or Windows administration
Ability to use wide variety of open source technologies.
Closely work with Architects and customer technical teams in migrating applications to Azure cloud in Architect Role.
Mentor and monitor the junior developers and track their work.
Design as per best practices and insustry standard coding practices
Ensure services are built for performance, scalability, fault tolerance and security with reusable patterns.
Recommend best practises and standards for Azure migrations
Define coding best practices for high performance and guide the team in adopting the same
Skills:
Mandatory:
Experience with cloud migration technologies such as Azure Migrate
Azure trained / certified architect – Associate or Professional Level
Understanding of hybrid cloud solutions and experience of integrating public cloud into tradition hosting/delivery models
Strong understanding of cloud migration techniques and workflows (on premise to Cloud Platforms)
Configuration, migration and deployment experience in Azure apps technologies.
High Availability and Disaster recovery implementations
Experience architecting and deploying multi-tiered applications.
Experience building and deploying multi-tier, scalable, and highly available applications using Java, Microsoft and Database technologies
Experience in performance tuning, including the following ; (load balancing, web servers, content delivery Networks, Caching (Content and API))
Experience in large scale data center migration
Experience of implementing architectural governance and proactively managing issues and risks throughout the delivery lifecycle.
Good familiarity with the disciplines of enterprise software development such as configuration & release management, source code & version controls, and operational considerations such as monitoring and instrumentation
Experience of consulting or service provider roles (internal, or external);
Experience using database technologies like Oracle, MySQL and understanding of NoSQL is preferred.
Experience in designing or implementing data warehouse solutions is highly preferred.
Experience in automation/configuration management using Puppet, Chef, Ansible, Saltstack, Bosh, Terraform or an equivalent.
Experience with source code management tools such as GitHub, GitLab, Bitbucket or equivalent
Experience with SQL and NoSQL DBs such as SQL, MySQL.
Solid understanding of networking and core Internet Protocols such as TCP/IP, DNS, SMTP, HTTP and routing in distributed networks.
A working understanding of code and script such as: PHP, Python, Perl and/or Ruby.
A working understanding with CI/CD tools such as Jenkins or equivalent
A working understanding of scheduling and orchestration with tools such as: kubernetes, Mesos swarm or equivalent.







