Shubham Vishwakarma
Full Stack Developer - Averlon
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DockerApplicants must read the JD and understand the JD throughly
Job Title: Database & DevOps Engineer
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.
Kubernetes
Amazon Web Services (AWS)Job Title : DevOps Engineer – Fintech (Product-Based)
Experience : 5+ Years
Location : Mumbai
Job Type : Full-Time | Product Company
Role Summary :
We are hiring a DevOps Engineer with strong product-based experience to manage infrastructure for a Fintech platform built on stateful microservices.
The role involves working across hybrid cloud + on-prem, with deep expertise in Kubernetes, Helm, GitOps, IaC, and Cloud Networking.
Mandatory Skills :
Product-based experience, deep Kubernetes (managed & self-managed), custom Helm Chart development, ArgoCD/FluxCD (GitOps), strong AWS/Azure cloud networking & security, IaC module development (Terraform/Pulumi/CloudFormation), experience with stateful microservices (DBs/queues/caches), multi-tenant deployments, HA/load balancing/SSL/TLS/cert management.
Key Responsibilities :
- Deploy and manage stateful microservices in production.
- Handle both managed & self-managed Kubernetes clusters.
- Develop and maintain custom Helm Charts.
- Implement GitOps pipelines using ArgoCD/FluxCD.
- Architect and operate secure infra on AWS/Azure (VPC, IAM, networking).
- Build reusable IaC modules using Terraform/CloudFormation/Pulumi.
- Design multi-tenant cluster deployments.
- Manage HA, load balancers, certificates, DNS, and networking.
Mandatory Skills :
- Product-based company experience.
- Strong Kubernetes (EKS/AKS/GKE + self-managed).
- Custom Helm Chart development.
- GitOps tools : ArgoCD/FluxCD.
- AWS/Azure cloud networking & security.
- IaC module development (Terraform/Pulumi/CloudFormation).
- Experience with stateful components (DBs, queues, caches).
- Understanding of multi-tenant deployments, HA, SSL/TLS, ingress, LB.
Python
Machine Learning (ML)Supercharge Your Career as a AI DevOps Engineer at Technoidentity!
At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.
What’s in it for You?
We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.
What Will You Be Doing?
- Develop and deploy AI/ML and Generative AI solutions using Python.
- Build applications leveraging LLMs, RAG, and AI agents.
- Create and maintain CI/CD pipelines for AI applications.
- Deploy and manage workloads using Docker and Kubernetes.
- Support cloud platforms (AWS, Azure, or GCP).
- Implement Infrastructure as Code (Terraform) and automation workflows.
- Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
- Collaborate with engineering teams to ensure system reliability, performance, and security.
- Contribute to MLOps practices, AI accelerators, and reusable frameworks.
Requirements
What Makes You the Perfect Fit?
- Python programming (mandatory)
- Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
- Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
- Docker, Kubernetes, Git, and CI/CD tools
- AWS, Azure, or GCP
- PostgreSQL; MongoDB and Vector Databases are a plus
- Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
- Familiarity with observability and monitoring tools
Qualifications
- Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
- 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas
Nice to Have
- Experience with Agentic AI frameworks
- Knowledge of MLOps and AI platform operations
- Exposure to enterprise-grade monitoring, reliability engineering, and security best practices
JOB DETAILS:
* Job Title: Lead I - Azure, Terraform, GitLab CI
* Industry: Global Digital Transformation Solutions Provider
* Salary: Best in Industry
* Experience: 3-5 years
* Location: Trivandrum/Pune
Job Description
Job Title: DevOps Engineer
Experience: 4–8 Years
Location: Trivandrum & Pune
Job Type: Full-Time
Mandatory skills: Azure, Terraform, GitLab CI, Splunk
Job Description
We are looking for an experienced and driven DevOps Engineer with 4 to 8 years of experience to join our team in Trivandrum or Pune. The ideal candidate will take ownership of automating cloud infrastructure, maintaining CI/CD pipelines, and implementing monitoring solutions to support scalable and reliable software delivery in a cloud-first environment.
Key Responsibilities
- Design, manage, and automate Azure cloud infrastructure using Terraform.
- Develop scalable, reusable, and version-controlled Infrastructure as Code (IaC) modules.
- Implement monitoring and logging solutions using Splunk, Azure Monitor, and Dynatrace.
- Build and maintain secure and efficient CI/CD pipelines using GitLab CI or Harness.
- Collaborate with cross-functional teams to enable smooth deployment workflows and infrastructure updates.
- Analyze system logs, performance metrics, and s to troubleshoot and optimize performance.
- Ensure infrastructure security, compliance, and scalability best practices are followed.
Mandatory Skills
Candidates must have hands-on experience with the following technologies:
- Azure – Cloud infrastructure management and deployment
- Terraform – Infrastructure as Code for scalable provisioning
- GitLab CI – Pipeline development, automation, and integration
- Splunk – Monitoring, logging, and troubleshooting production systems
Preferred Skills
- Experience with Harness (for CI/CD)
- Familiarity with Azure Monitor and Dynatrace
- Scripting proficiency in Python, Bash, or PowerShell
- Understanding of DevOps best practices, containerization, and microservices architecture
- Exposure to Agile and collaborative development environments
Skills Summary
Azure, Terraform, GitLab CI, Splunk (Mandatory) Additional: Harness, Azure Monitor, Dynatrace, Python, Bash, PowerShell
Skills: Azure, Splunk, Terraform, Gitlab Ci
******
Notice period - 0 to 15days only
Job stability is mandatory
Location: Trivandrum/Pune
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 )
Jenkins
GitHubDevOps Architect
Experience: 10 - 12+ year relevant experience on DevOps
Locations : Bangalore, Chennai, Pune, Hyderabad, Jaipur.
Qualification:
• Bachelors or advanced degree in Computer science, Software engineering or equivalent is required.
• Certifications in specific areas are desired
Technical Skillset: Skills Proficiency level
- Build tools (Ant or Maven) - Expert
- CI/CD tool (Jenkins or Github CI/CD) - Expert
- Cloud DevOps (AWS CodeBuild, CodeDeploy, Code Pipeline etc) or Azure DevOps. - Expert
- Infrastructure As Code (Terraform, Helm charts etc.) - Expert
- Containerization (Docker, Docker Registry) - Expert
- Scripting (linux) - Expert
- Cluster deployment (Kubernetes) & maintenance - Expert
- Programming (Java) - Intermediate
- Application Types for DevOps (Streaming like Spark, Kafka, Big data like Hadoop etc) - Expert
- Artifactory (JFrog) - Expert
- Monitoring & Reporting (Prometheus, Grafana, PagerDuty etc.) - Expert
- Ansible, MySQL, PostgreSQL - Intermediate
• Source Control (like Git, Bitbucket, Svn, VSTS etc)
• Continuous Integration (like Jenkins, Bamboo, VSTS )
• Infrastructure Automation (like Puppet, Chef, Ansible)
• Deployment Automation & Orchestration (like Jenkins, VSTS, Octopus Deploy)
• Container Concepts (Docker)
• Orchestration (Kubernetes, Mesos, Swarm)
• Cloud (like AWS, Azure, GoogleCloud, Openstack)
Roles and Responsibilities
• DevOps architect should automate the process with proper tools.
• Developing appropriate DevOps channels throughout the organization.
• Evaluating, implementing and streamlining DevOps practices.
• Establishing a continuous build environment to accelerate software deployment and development processes.
• Engineering general and effective processes.
• Helping operation and developers teams to solve their problems.
• Supervising, Examining and Handling technical operations.
• Providing a DevOps Process and Operations.
• Capacity to handle teams with leadership attitude.
• Must possess excellent automation skills and the ability to drive initiatives to automate processes.
• Building strong cross-functional leadership skills and working together with the operations and engineering teams to make sure that systems are scalable and secure.
• Excellent knowledge of software development and software testing methodologies along with configuration management practices in Unix and Linux-based environment.
• Possess sound knowledge of cloud-based environments.
• Experience in handling automated deployment CI/CD tools.
• Must possess excellent knowledge of infrastructure automation tools (Ansible, Chef, and Puppet).
• Hand on experience in working with Amazon Web Services (AWS).
• Must have strong expertise in operating Linux/Unix environments and scripting languages like Python, Perl, and Shell.
• Ability to review deployment and delivery pipelines i.e., implement initiatives to minimize chances of failure, identify bottlenecks and troubleshoot issues.
• Previous experience in implementing continuous delivery and DevOps solutions.
• Experience in designing and building solutions to move data and process it.
• Must possess expertise in any of the coding languages depending on the nature of the job.
• Experience with containers and container orchestration tools (AKS, EKS, OpenShift, Kubernetes, etc)
• Experience with version control systems a must (GIT an advantage)
• Belief in "Infrastructure as a Code"(IaaC), including experience with open-source tools such as terraform
• Treats best practices for security as a requirement, not an afterthought
• Extensive experience with version control systems like GitLab and their use in release management, branching, merging, and integration strategies
• Experience working with Agile software development methodologies
• Proven ability to work on cross-functional Agile teams
• Mentor other engineers in best practices to improve their skills
• Creating suitable DevOps channels across the organization.
• Designing efficient practices.
• Delivering comprehensive best practices.
• Managing and reviewing technical operations.
• Ability to work independently and as part of a team.
• Exceptional communication skills, be knowledgeable about the latest industry trends, and highly innovative
DockerAmazon Web Services (AWS)- 3+ years experience leading a team of DevOps engineers
- 8+ years experience managing DevOps for large engineering teams developing cloud-native software
- Strong in networking concepts
- In-depth knowledge of AWS and cloud architectures/services.
- Experience within the container and container orchestration space (Docker, Kubernetes)
- Passion for CI/CD pipeline using tools such as Jenkins etc.
- Familiarity with config management tools like Ansible Terraform etc
- Proven record of measuring and improving DevOps metrics
- Familiarity with observability tools and experience setting them up
- Passion for building tools and productizing services that empower development teams.
- Excellent knowledge of Linux command-line tools and ability to write bash scripts.
- Strong in Unix / Linux administration and management,
KEY ROLES/RESPONSIBILITIES:
- Own and manage the entire cloud infrastructure
- Create the entire CI/CD pipeline to build and release
- Explore new technologies and tools and recommend those that best fit the team and organization
- Own and manage the site reliability
- Strong decision-making skills and metric-driven approach
- Mentor and coach other team members
Amazon Web Services (AWS)KubernetesRoles and Responsibilities
● Managing Availability, Performance, Capacity of infrastructure and applications.
● Building and implementing observability for applications health/performance/capacity.
● Optimizing On-call rotations and processes.
● Documenting “tribal” knowledge.
● Managing Infra-platforms like
- Mesos/Kubernetes
- CICD
- Observability(Prometheus/New Relic/ELK)
- Cloud Platforms ( AWS/ Azure )
- Databases
- Data Platforms Infrastructure
● Providing help in onboarding new services with the production readiness review process.
● Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
● Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
● Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks.
● Identifying observability gaps in product services, infrastructure and working with stake owners to fix it.
● Managing Outages and doing detailed RCA with developers and identifying ways to avoid that situation.
● Managing/Automating upgrades of the infrastructure services.
● Automate toil work.
Experience & Skills
● 3+ Years of experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
● A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
● A deep understanding of computer science, software development, and networking principles.
● Demonstrated experience with languages, such as Python, Java, Golang etc.
● Extensive experience with Linux administration and good understanding of the various linux kernel subsystems (memory, storage, network etc).
● Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
● Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
● Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
● Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker, Argo etc.
● Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.
● Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike,
Couchbase, Scylla, Cassandra, Elasticsearch).
● Experience with data platforms tech stacks like Hadoop, Hive, Presto etc is a plus
PythonKubernetes
Javascript
HTML/CSS
PostgreSQL
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon