Amazon Web Services (AWS)We are a boutique IT services & solutions firm headquartered in the Bay Area with offices in India. Our offering includes custom-configured hybrid cloud solutions backed by our managed services. We combine best in class DevOps and IT infrastructure management practices, to manage our clients Hybrid Cloud Environments.
In addition, we build and deploy our private cloud solutions using Open stack to provide our clients with a secure, cost effective and scale able Hybrid Cloud solution. We work with start-ups as well as enterprise clients.
This is an exciting opportunity for an experienced Cloud Engineer to work on exciting projects and have an opportunity to expand their knowledge working on adjacent technologies as well.
Must have skills
• Provisioning skills on IaaS cloud computing for platforms such as AWS, Azure, GCP.
• Strong working experience in AWS space with various AWS services and implementations (i.e. VPCs, SES, EC2, S3, Route 53, Cloud Front, etc.)
• Ability to design solutions based on client requirements.
• Some experience with various network LAN/WAN appliances like (Cisco routers and ASA systems, Barracuda, Meraki, SilverPeak, Palo Alto, Fortinet, etc.)
• Understanding of networked storage like (NFS / SMB / iSCSI / Storage GW / Windows Offline)
• Linux / Windows server installation, maintenance, monitoring, data backup and recovery, security, and administration.
• Good knowledge of TCP/IP protocol & internet technologies.
• Passion for innovation and problem solving, in a start-up environment.
• Good communication skills.
Good to have
• Remote Monitoring & Management.
• Familiarity with Kubernetes and Containers.
• Exposure to DevOps automation scripts & experience with tools like Git, bash scripting, PowerShell, AWS Cloud Formation, Ansible, Chef or Puppet will be a plus.
• Architect / Practitioner certification from OEM with hands-on capabilities.
What you will be working on
• Trouble shoot and handle L2/ L3 tickets.
• Design and architect Enterprise Cloud systems and services.
• Design, Build and Maintain environments primarily in AWS using EC2, S3/Storage, CloudFront, VPC, ELB, Auto Scaling, Direct Connect, Route53, Firewall, etc.
• Build and deploy in GCP/ Azure as needed.
• Architect cloud solutions keeping performance, cost and BCP considerations in mind.
• Plan cloud migration projects as needed.
• Collaborate & work as part of a cohesive team.
• Help build our private cloud offering on Open stack.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Location: Chennai, Tamil Nadu (On-site/Hybrid)
Experience: 2+ years -
Job Summary
We are looking for a skilled Database & DevOps Engineer with 2+ years of hands-on experience in database administration, cloud infrastructure, CI/CD pipelines, automation, and AI application deployment. The role involves managing database and infrastructure environments, automating deployments, supporting AI/LLM workloads, and ensuring high availability, security, performance, and scalability.
Key Responsibilities
Database Management
• Install, configure, monitor, and maintain SQL and NoSQL databases.
• Manage database backup, recovery, replication, and disaster recovery.
• Optimise performance through indexing, query tuning, and monitoring.
• Ensure database security, integrity, and availability.
• Troubleshoot database issues and provide timely resolutions.
DevOps, Infrastructure & AI Operations
• Design, implement, and maintain CI/CD pipelines.
• Automate infrastructure provisioning using Infrastructure as Code tools.
• Deploy and manage applications across cloud and on-premises environments.
• Configure and maintain containerised applications using Docker and Kubernetes.
• Deploy and support AI/ML, LLM, RAG, and agentic AI applications.
• Configure and manage GPU-enabled infrastructure for AI workloads.
• Support model serving, vector databases, and AI application APIs.
• Monitor application, infrastructure, and AI-service performance, including availability, latency, resource utilization, and failures.
• Maintain Linux servers and automate routine operational tasks.
• Implement secure management of credentials, secrets, model endpoints, and data access.
• Collaborate with development and AI teams to streamline deployment and release processes.
Mandatory Skills
• 2+ years of hands-on experience in Database Administration and DevOps.
• Strong knowledge of MySQL, PostgreSQL, Microsoft SQL Server, and MongoDB.
• Experience with database backup, restoration, replication, indexing, query optimization, and performance monitoring.
• Hands-on experience with Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.
• Experience with Docker and Kubernetes.
• Experience with AWS, Azure, or GCP.
• Knowledge of Terraform and Ansible.
• Strong Linux administration and shell-scripting skills.
• Experience with Prometheus, Grafana, ELK Stack, or Nagios.
• Working knowledge of networking, security, SSL/TLS, and load balancing.
• Understanding of LLMs, RAG, embeddings, vector databases, and agentic AI architecture.
• Experience deploying Python-based AI/ML services and APIs.
• Familiarity with model-serving tools such as llama.cpp, vLLM, Ollama, Hugging Face, or equivalent.
• Knowledge of GPU-enabled environments, NVIDIA drivers, CUDA, and containerized AI deployment.
• Understanding of AI/LLM observability, model versioning, security, scaling, and rollback.
• Strong troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Cloud, DevOps, Linux, database, or Kubernetes certifications are an advantage.
Technical Stack
• Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and vector databases
• Cloud: AWS, Azure, GCP.
• CI/CD: Jenkins, GitLab CI/CD, Azure DevOps
• Containers and IaC: Docker, Kubernetes, Terraform, Ansible
• Monitoring: Prometheus, Grafana, ELK Stack, Nagios
• AI Infrastructure: Python APIs, LLM serving, RAG, embeddings, vector search, GPU/CUDA
• Operating Systems: Linux—Ubuntu, CentOS, Red Hat
Soft Skills
• Excellent communication and collaboration skills.
• Strong ownership and accountability.
• Ability to work effectively in a fast-paced Agile environment.
• Proactive approach to troubleshooting and continuous improvement.
• Ability to manage multiple priorities and deliver on time.
Job Title: Cloud Engineer - Azure DevOps
Job Location: Mumbai (Andheri East)
About the company:
MIRACLE HUB CLIENT, is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise
Skill-sets Required:
- Azure Architecture
- DevOps Expert
- Infrastructure as a code
- Automate CICD pipelines
- Security and Risk Compliance
- Validate Tech Design
Job Role:
- Create a well-informed cloud strategy and manage the adaption process and Azure based architecture
- Develop and organize automated cloud systems
- Work with other teams in continuous integration and continuous deployment pipeline in delivering solutions
- Work closely with IT security to monitor the company's cloud privacy
Desired Candidate Profile:
- Bachelor’s degree in computer science, computer engineering, or relevant field.
- A minimum of 3 years’ experience in a similar role.
- Strong knowledge of database structure systems and data mining.
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
- Excellent English communication and presentation skills, both verbal and written
- Charismatic, competitive and enthusiastic personality with negotiation skills
Compensation: 12-15 LPA with minimum 5 years of experience. ( OR AS PER LAST DRAWN )
Docker
KubernetesAmazon Web Services (AWS)Please find the JD below:
- Candidate should have good Platform experience on Azure with Terraform.
- The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests.
- Good to have experience on migrating data from (AWS) to Azure.
- To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
- VMs to be provisioned on Azure Cloud and managed.
- Good hands-on experience of Networking on Cloud is required.
- Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
- Kubernetes, Storage, KeyValult, Networking (load balancing and routing) and VMs are the key infrastructure expertise which are essential.
- Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue green/canary deployment models etc).
- The experience in AWS is desirable.
- Python experience is optional however Power shell is mandatory.
- Know-how on the use of GitHub
- Administration of Azure Kubernetes services
DockerKubernetesAmazon Web Services (AWS)Job Description
- Implement IAM policies and configure VPCs to create a scalable and secure network for the application workloads
- Will be client point of contact for High Priority technical issues and new requirements
- Should act as Tech Lead and guide the junior members of team and mentor them
- Work with client application developers to build, deploy and run both monolithic and microservices based applications on AWS Cloud
- Analyze workload requirements and work with IT stakeholders to define proper sizing for cloud workloads on AWS
- Build, Deploy and Manage production workloads including applications on EC2 instance, APIs on Lambda Functions and more
- Work with IT stakeholders to monitor system performance and proactively improve the environment for scale and security
Qualifications
- Prefer to have at least 5+ years of IT experience implementing enterprise applications
- Should be AWS Solution Architect Associate Certified
- Must have at least 3+ years of working as a Cloud Engineer focused on AWS services such as EC2, CloudFront, VPC, CloudWatch, RDS, DynamoDB, Systems Manager, Route53, WAF, API Gateway, Elastic beanstalk, ECS, ECR, Lambda, SQS, SNS, S3 bucket, Elastic Search, DocumentDB IAM, etc.
- Must have a strong understanding of EC2 instances, types and deploying applications to the cloud
- Must have a strong understanding of IAM policies, VPC creation, and other security/networking principles
- Must have through experience in doing on prem to AWS cloud workload migration
- Should be comfortable in using AWS and other migrations tools
- Should have experience is working on AWS performance, Cost and Security optimisation
- Should be experience in implementing automated patching and hardening of the systems
- Should be involved in P1 tickets and also guide team wherever needed
- Creating Backups and Managing Disaster Recovery
- Experience in using Infra as a code automation using scripts & tools like CloudFormation and Terraform
- Any exposure towards creating CI/CD pipelines on AWS using CodeBuild, CodeDeploy, etc. is an advantage
- Experience with Docker, Bitbucket, ELK and deploying applications on AWS
- Good understanding of Containerisation technologies like Docker, Kubernetes etc.
- Should be experience in using and configuring cloud monitoring tools and ITSM ticketing tools
- Good exposure to Logging & Monitoring tools like Dynatrace, Prometheus, Grafana, ELF/EFK
DockerKubernetesAmazon Web Services (AWS)• Hands-on experience in Azure.
• Build and maintain CI/CD tools and pipelines.
• Designing and managing highly scalable, reliable, and fault-tolerant infrastructure & networking that forms the backbone of distributed systems at RARA Now.
• Continuously improve code quality, product execution, and customer delight.
• Communicate, collaborate and work effectively across distributed teams in a global environment.
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• Have worked on production distributed systems and have an understanding of microservices architecture, RESTful services, and CI/CD.
Amazon Web Services (AWS)Docker
JenkinsDevOps Engineer
The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.
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- Explore about the newest innovations in scalable and distributed systems.
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- Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
- Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
- Playing around with large clusters on different clouds to tune your jobs or to learn.
- Researching about new technologies, proving the concepts and planning how to integrate or update.
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- You understand actual networking to Software defined networking.
- You like containers and open source orchestration system like Kubernetes, Mesos.
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- Should have knowledge about how applications work are very important to design distributed systems.
- Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
- You understand that provisioning a Virtual Machine is not DevOps.
- You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
- Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
- You check logs before screaming about error.
- Multiple Screens makes you more efficient.
- You are a doer who don’t say the word impossible.
- You understand the value of documentation of your work.
- You understand the Big Data ecosystem and how can you leverage cloud for it.
- You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs
Amazon Web Services (AWS)JenkinsDockerJob Brief:
We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Location:
Pune.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
Java- Strong experience using Java programming languages or DevOps on Google Cloud.
- Strong communication skills.
- Experience in Agile methodologies
- Certification on Professional Google Cloud Data engineer will be an added advantage.
- Experience on Google Cloud Platform.
- Experience on Java or DevOps
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- Excellent verbal and written communication and interpersonal skills.
- Ability to work independently and within a team environment.
- Interpersonal skills
- GCP, Cloud, Programming
- Agile
- Java programming language or DevOps experience.
CTC- 4L - 7L
DockerKubernetes- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
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- Hands-on experience on Jenkins pipeline scripting.
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- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
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- Must have good communication skills and problem solving skills
JenkinsKubernetesBelow is the Job details:
Role: DevOps Architect
Experience Level: 8-12 Years
Job Location: Hyderabad
Key Responsibilities :
Look through the various DevOps Tools/Technologies and identify the strengths and provide direction to the DevOps automation team
Out-of-box thought process on the DevOps Automation Platform implementation
Expose various tools and technologies and do POC on integration of the these tools
Evaluate Backend API's for various DevOps tools
Perform code reviews keep in context of RASUI
Mentor the team on the various E2E integrations
Be Liaison in evangelizing the automation solution currently implemented
Bring in various DevOps best Practices/Principles and participate in adoption with various app teams
Must have:
Should possess Bachelors/Masters in computer science with minimum of 8+ years of experience
Should possess minimum 3 years of strong experience in DevOps
Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/SonarQube)
Should possess expertise in optimizing the DevOps stack ( Containers/Kubernetes/Monitoring )
2+ Experience in creating solutions and translate to the development team
Should have strong understanding of OOPs, SDLC (Agile Safe standards)
Proficient in Python , with a good knowledge of its ecosystems (IDEs and Frameworks)
Proficient in various cloud platforms (Azure/AWS/Google cloud platform)
Proficient in various DevOps offerings (Pivotal/OpenStack/Azure DevOps
Regards,
Talent acquisition team
Tetrasoft India
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Full Stack Developer - Averlon