Docker
Jenkins
Git
Python
PHPJob 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
Shubham Vishwakarma
Full Stack Developer - Averlon
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GitHubJob Title : Azure DevOps Engineer
Experience Required : 7+ Years
Work Mode : Remote / Hybrid
Location : Remote
Notice Period : Immediate Joiners / Serving Candidates (within 20 days only)
Interview Mode : Face-to-Face or Virtual
Open Positions : 2
Job Description :
We are seeking an experienced Azure DevOps Engineer with 7+ years of relevant experience in DevOps practices, especially around Azure infrastructure, deployment automation, and CI/CD pipeline management. The ideal candidate should have hands-on expertise with Azure DevOps, GitHub, YAML, and Azure services, along with solid communication and coordination capabilities.
Mandatory Skills : Azure DevOps, GitHub Actions, YAML, Bicep, Azure services (App Gateway, WAF, NSG, CosmosDB, Storage Accounts), Unix scripting, and Azure Fundamentals certification.
Key Responsibilities :
- Manage deployments for Dynamics 365 and proxy applications
- Run and maintain ADO pipelines and GitHub Actions
- Ensure proper status updates on ADO Boards and deployed work items
- Coordinate with QA teams to execute smoke testing post-deployment
- Communicate deployment progress across team channels effectively
- Monitor deployment cycles, approval gates, logs, and alerts
- Ensure smooth integration of infrastructure and DevOps practices
Mandatory Skills :
- Minimum 7+ years in DevOps, with strong experience in Azure DevOps (ADO).
- Proven expertise in building pipelines using Azure DevOps and GitHub.
- Proficiency in Bicep, YAML scripting, and Azure Infrastructure-as-Code (IaC).
- Hands-on with Azure services like :
- App Gateway, WAF, NSG, CosmosDB, Storage Accounts.
- vNet, Managed Identity, KeyVault, AppConfig, App Insights.
- Basic Azure Fundamentals Certification (AZ-900).
- Excellent communication skills in English.
Nice to Have :
- Experience in managing large enterprise-scale deployments.
- Familiarity with branching strategies and monitoring tools.
- Exposure to Approval Gates and Deployment Governance.
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
KubernetesPythonWe are a managed video calling solution built on top of WebRTC, which allows it's
customers to integrate live video-calls within existing solutions in less than 10 lines of
code. We provide a completely managed SDK that solves the problem of battling
endless cases of video calling APIs.
Location - Bangalore (Remote)
Experience - 3+ Years
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
KubernetesDocker
PostgreSQLAbout Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
KubernetesDocker
Amazon Web Services (AWS)About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities:
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Implement consistent observability, deployment and IaC setups
- Patch production systems to fix security/performance issues
- Actively respond to escalations/incidents in the production environment from customers or the support team
- Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Participate in infrastructure security audits
Requirements:
- At least 5 years of experience in handling/building Production environments in AWS.
- At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
- Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.
DockerKubernetesAmazon Web Services (AWS)Position Summary
Cloud Engineer helps to solutionize, enable, migrate and onboard clients to a secure cloud
platform, which offload the heavy lifting for the clients so that they can focus on their own business
value creation.
Job Description
- Assessing existing customer systems and/or cloud environment to determine the best migration approach and supporting tools used
- Build a secure and compliant cloud environment, with a proven enterprise operating model, on-going cost optimisation, and day-to-day infrastructure management
- Provide and implement cloud solutions to reduce operational overhead and risk, and automates common activities, such as change requests, monitoring, patch management, security, and backup services, and provides full-lifecycle services to provision, run, and support their infrastructure
- Collaborate with internal service teams to meet the clients’ needs for their infrastructure and application deployments
- Troubleshoot complex infrastructure deployments, recreate customer issues, and build proof of concept environments that abide by cloud-best-practices & well architecture frameworks
- Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs
- Work on critical, highly complex customer problems that will span across multiple cloud platforms and services
- Identify and drive improvements on process and technical related issues. Act as an escalation point of contact for the clients
- Drive clients meetings & communication during reviews
Requirement:
- Degree in computer science or a similar field.
- At least 2 year of experience in the field of cloud computing.
- Experience with CI/CD systems.
- Strong in Cloud services
- Exposure to AWS/GCP and other cloud-based infrastructure platforms
- Experience with AWS configuration and management – EC2, S3, EBS, ELB, IAM, VPC, RDS, CloudFront etc
- Exposure in architecting, designing, developing, and implementing cloud solutions on AWS platforms or other cloud server such as Azure, Google Cloud
- Proficient in the use and administration of all versions of MS Windows Server
- Experience with Linux and Windows system administration and web server configuration and monitoring
- Solid programming skills in Python, Java, Perl
- Good understanding of software design principles and best practices
- Good knowledge of REST APIs
- Should have hands-on experience in any deployment orchestration tool (Jenkins, Urbancode, Bamboo, etc.)
- Experience with Docker, Kubernetes, and Helm charts
- Hands on experience in Ansible and Git repositories
- Knowledge in Maven / Gradle
- Azure, AWS, and GCP certifications are preferred.
- Troubleshooting and analytical skills.
- Good communication and collaboration skills.
KubernetesDockerAmazon Web Services (AWS)
Srijan Technologies is hiring for the DevOps Lead position- Cloud Team with a permanent WFH option.
Immediate Joiners or candidates with 30 days notice period are preferred.
Requirements:-
- Minimum 4-6 Years experience in DevOps Release Engineering.
- Expert-level knowledge of Git.
- Must have great command over Kubernetes
- Certified Kubernetes Administrator
- Expert-level knowledge of Shell Scripting & Jenkins so as to maintain continuous integration/deployment infrastructure.
- Expert level of knowledge in Docker.
- Expert level of Knowledge in configuration management and provisioning toolchain; At least one of Ansible / Chef / Puppet.
- Basic level of web development experience and setup: Apache, Nginx, MySQL
- Basic level of familiarity with Agile/Scrum process and JIRA.
- Expert level of Knowledge in AWS Cloud Services.
Amazon Web Services (AWS)JenkinsDesignation - DevOps Engineer
Urgently required. (NP of maximum 15 days)
Location:- Mumbai
Experience:- 3-5 years.
Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.
DevOps Engineer Job Description:-
Responsibilities
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer & client experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Requirements
- Work experience as a DevOps Engineer or similar software engineering role
- Work experience on AWS
- Good knowledge of Ruby or Python
- Working knowledge of databases and SQL
- Problem-solving attitude
- Team spirit
- BSc in Computer Science, Engineering or relevant field
KubernetesPosition Summary:
Technology Lead provides technical leadership with in-depth DevOps experience and is responsible for enabling delivery of high-quality projects to Saviant clients through highly effective DevOps process. This is a highly technical role, with a focus on analysing, designing, documenting, and implementing a complete DevOps process for enterprise applications using the most advanced technology stacks, methodologies, and best practices within the agreed timelines.
Individuals in this role will need to have good technical and communication skills and strive to be on the cutting edge, innovate, and explore to deliver quality solutions to Saviant Clients.
Your Role & Responsibilities at Saviant:
• Design, analyze, document, and develop the technical architecture for on-premise as well as cloud-based DevOps solutions around customers’ business problems.
• Lead end to end process and setup implementation of configuration management, CI, CD, and monitoring platforms.
• Conduct reviews of design and implementation of DevOps processes while establishing, and maintaining best practices
• Setup new processes to improve the quality of development, delivery and deployment processes
• Provide technical support and guidance to project team members.
• Upgrade by learning technologies beyond traditional area of expertise
• Contribute to pre-sales, proposal creation, POCs, technology incubation from technical and architecture perspective
• Participate in recruitment and people development initiatives.
Job Requirements/Qualifications:
• Educational Qualification: BE, BTech, MTech, MCA from a reputed institute • 6 to 8 years of hands-on experience of the DevOps process using technologies like Dot Net Core, Python, C#, MVC, ReactJS, Python, Android, IOS, Linux, Windows
• Strong hands-on experience of the full life cycle of DevOps: DevOps Orchestration/Configuration/Security/CI-CD/Release Management and Environment management • Solid hands-on knowledge of DevOps technologies and tools such as Jenkins, Spinnaker, Azure for DevOps, Chef, Puppet, JIRA, TFS, Git, SVN, various scripting tools, etc. • Solid hands-on knowledge of containerization technologies and tools such as Docker, Kubernetes, Cloud Foundry • In-depth understanding of various development and deployment architectures from a DevOps perspective
• Expertise in Grounds-up DevOps projects involving multiple agile teams spread across geographies.
• Experience in a various Agile Project Management software /techniques / tools
• Strong analytical and problem solving skills
• Excellent written and oral communication skills
• Enjoys working as part of agile software teams in a startup environment.
Who Should Apply?
• You have independently managed end-to-end DevOps projects, including understanding requirements, design solutions and implementing, setting up best practices with different business domain over last 2 years.
• You are well versed with Agile development methodologies and have successfully implemented them across at least 2-3 projects
• You have lead development team of 5 to 8 developers with Technology responsibility
• You have served as “Single Point of Contact” for managing technical escalations and decisions
Amazon Web Services (AWS)DockerTotal Experience: 6 – 12 Years
Required Skills and Experience
- 3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
- 3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
- Building and running Docker images and deployment on Amazon ECS
- Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
- Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
- Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
- Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
- Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
- Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
- Understanding of IAM, RBAC, NACLs, and KMS
- Good communication skills
Good to have:
- Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
- Knowledge of database administration such as MongoDB.
- Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.
Responsibilities
- Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
- Establish and promote DevOps thinking, guidelines, best practices, and standards.
- Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon