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About Us
CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.
Hybrid - 2 days in a week from Noida office
Key Responsibilities
- Design, develop, and maintain robust and scalable big data solutions
- Implement and manage CI/CD pipelines to automate the build, test, and deployment of data applications.
- Write high-quality, maintainable, and efficient code in Java.
- Create and manage build configurations using tools like Maven, Gradle, or Ant.
- Utilize Git for version control and to manage code repositories.
- Develop automation scripts using Bash and Python.
- Perform in-depth logging and debugging to identify and resolve issues in complex data systems.
- Develop and execute comprehensive test scripts to ensure the quality and reliability of data pipelines.
Requirement:
- Cloud Computing: Practical knowledge of GCP services, including VMs, GCS, and Dataproc or similar cloud data services.
- Programming: Proven proficiency in Java development.
- Build Tools: Solid experience with build automation tools like Maven, Gradle, or Ant.
- Version Control: Proficient in using Git.
- Big Data: Strong hands-on experience with the Hadoop ecosystem and Apache Spark.
- IDE: Experience with IntelliJ IDEA or similar development environments.
- CI/CD: A strong understanding of how CI/CD pipelines work and experience with relevant tools (e.g., Jenkins, GitLab CI).
- Scripting: Proficiency in Bash and Python.
- Operating Systems: In-depth knowledge of Linux distributions (Debian, Ubuntu, Rocky).
- Core Competencies:
- Excellent logging and debugging skills.
- Experience in writing test scripts and a commitment to software quality.
- Familiarity with the process of CVE resolutions.
Behavioural competencies required:
- Must have worked with US/Europe based clients in onsite/offshore delivery model
- Should have very good verbal and written communication, technical articulation, listening and presentation skills
- Should have proven analytical and problem solving skills
- Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills
- Should be a quick learner and team player
- Should have experience of working under stringent deadlines in a Matrix organization structure
- Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in past organizations
DevOps Engineer (Cloud & Infrastructure)
📍 Noida | 🕐 Full-Time | 🧭 Experience: 2–4 years
About TestMu AI
TestMu AI (formerly LambdaTest) is an AI-native platform designed to move software testing beyond simple automation into the era of agentic intelligence. It provides end-to-end AI agents that manage the entire Quality Engineering lifecycle.
- Full-Stack AI Agents: Autonomously plan, author, execute, and analyze tests across the SDLC.
- Comprehensive Coverage: Supports web, mobile, and enterprise applications.
- Real-World Testing: Scale execution across real devices, browsers, and custom environments.
About the Role
This isn't a role for someone who just wants to "maintain" systems. As a DevOps Engineer at TestMu AI, you are the architect of the automated highways that power our AI agents. You will step into a fast-paced environment where you bridge the gap between cloud-native automation and core infrastructure.
You will manage complex CI/CD pipelines, troubleshoot deep-seated Linux issues, and ensure our hybrid-cloud environment (AWS/Azure) is as resilient as the code it runs.
Key Responsibilities: The Pillars of Growth
A. DevOps & Automation (50% Focus)
- Platform Orchestration: Lead the migration to modular, self-healing Terraform and Helm templates.
- Agentic CI/CD: Architect GitHub Actions workflows that treat AI agents as first-class citizens, automating environment promotion and risk scoring.
- Kubernetes Mastery: Advanced management of Docker and K8s clusters to support scalable production workloads.
- Predictive Observability: Use Prometheus, Grafana, and ELK to move from reactive alerts to autonomous anomaly detection.
B. Networking & Data Center Mastery (30% Focus)
- Hybrid Networking: Design and troubleshoot VPCs and subnets in Azure/AWS/GCP, paired with physical VLANs and switches in our data centers.
- Bare-Metal Lifecycle: Automate hardware provisioning, RAID setup, and firmware updates for our real-device cloud.
- Remote Admin: Master out-of-band management (iDRAC, iLO, IPMI) to ensure 100% remote operational capability.
- Core Protocols: Own the lifecycle of DNS, DHCP, Load Balancing, and IPAM across distributed environments.
C. Development & Scripting (20% Focus)
- Backend Integration: Debug and optimize Python or Go code; understanding how logic interacts with system-level resources.
- Advanced Scripting: Write idempotent Bash/Python scripts to automate complex, multi-server operational tasks.
- Agentic Tooling: Support the integration of LLM-based developer tools into DevOps workflows to eliminate "toil".
The Interview Journey
We value your ability to solve problems under pressure more than your ability to memorize documentation.
- Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
- Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
- Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
- Final Round (CEO): Mission alignment, cultural fit, and the "big picture" at TestMu AI.
Growth Timeline
This is a high-visibility role. You will receive direct mentorship from our senior engineering leadership. As you master our production environment, you will have a clear path to move into Senior DevOps Engineer or Infrastructure Architect roles as our pods scale.
Perks That Matter
Health Cover: Comprehensive insurance for you and your family.
Fresh Meals: Daily catered meals at the office.
Transport: Safe cab facilities for eligible shifts.
Pod Budgets: Dedicated engagement budgets for team building and offsites.
We are looking for a passionate DevOps Engineer who can support deployment and monitor our Production, QE, and Staging environments performance. Applicants should have a strong understanding of UNIX internals and should be able to clearly articulate how it works. Knowledge of shell scripting & security aspects is a must. Any experience with infrastructure as code is a big plus. The key responsibility of the role is to manage deployments, security, and support of business solutions. Having experience in database applications like Postgres, ELK, NodeJS, NextJS & Ruby on Rails is a huge plus. At VakilSearch. Experience doesn't matter, passion to produce change matters
Responsibilities and Accountabilities:
- As part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the infra components of VakilSearch’s product which are hosted in cloud services & on-prem facility
- Design, build tools and framework that support deploying and managing our platform & Exploring new tools, technologies, and processes to improve speed, efficiency, and scalability
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restore of different Env
- Manage resources in a cost-effective, innovative manner including assisting subordinates ineffective use of resources and tools
- Resolve incidents as escalated from Monitoring tools and Business Development Team
- Implement and follow security guidelines, both policy and technology to protect our data
- Identify root cause for issues and develop long-term solutions to fix recurring issues and Document it
- Strong in performing production operation activities even at night times if required
- Ability to automate [Scripts] recurring tasks to increase velocity and quality
- Ability to manage and deliver multiple project phases at the same time
I Qualification(s):
- Experience in working with Linux Server, DevOps tools, and Orchestration tools
- Linux, AWS, GCP, Azure, CompTIA+, and any other certification are a value-add
II Experience Required in DevOps Aspects:
- Length of Experience: Minimum 1-4 years of experience
- Nature of Experience:
- Experience in Cloud deployments, Linux administration[ Kernel Tuning is a value add ], Linux clustering, AWS, virtualization, and networking concepts [ Azure, GCP value add ]
- Experience in deployment solutions CI/CD like Jenkins, GitHub Actions [ Release Management is a value add ]
- Hands-on experience in any of the configuration management IaC tools like Chef, Terraform, and CloudFormation [ Ansible & Puppet is a value add ]
- Administration, Configuring and utilizing Monitoring and Alerting tools like Prometheus, Grafana, Loki, ELK, Zabbix, Datadog, etc
- Experience with Containerization and orchestration tools like Docker, and Kubernetes [ Docker swarm is a value add ]Good Scripting skills in at least one interpreted language - Shell/bash scripting or Ruby/Python/Perl
- Experience in Database applications like PostgreSQL, MongoDB & MySQL [DataOps]
- Good at Version Control & source code management systems like GitHub, GIT
- Experience in Serverless [ Lambda/GCP cloud function/Azure function ]
- Experience in Web Server Nginx, and Apache
- Knowledge in Redis, RabbitMQ, ELK, REST API [ MLOps Tools is a value add ]
- Knowledge in Puma, Unicorn, Gunicorn & Yarn
- Hands-on VMWare ESXi/Xencenter deployments is a value add
- Experience in Implementing and troubleshooting TCP/IP networks, VPN, Load Balancing & Web application firewalls
- Deploying, Configuring, and Maintaining Linux server systems ON premises and off-premises
- Code Quality like SonarQube is a value-add
- Test Automation like Selenium, JMeter, and JUnit is a value-add
- Experience in Heroku and OpenStack is a value-add
- Experience in Identifying Inbound and Outbound Threats and resolving it
- Knowledge of CVE & applying the patches for OS, Ruby gems, Node, and Python packages
- Documenting the Security fix for future use
- Establish cross-team collaboration with security built into the software development lifecycle
- Forensics and Root Cause Analysis skills are mandatory
- Weekly Sanity Checks of the on-prem and off-prem environment
III Skill Set & Personality Traits required:
- An understanding of programming languages such as Ruby, NodeJS, ReactJS, Perl, Java, Python, and PHP
- Good written and verbal communication skills to facilitate efficient and effective interaction with peers, partners, vendors, and customers
IV Age Group: 21 – 36 Years
V Cost to the Company: As per industry standards
2. Kubernetes Engineer
DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.
At Least 4 Years of experience in DevOps with knowledge of:
- Docker
- Docker Cloud / Containerization
- DevOps Best Practices
- Distributed Applications
- Deployment Architecture
- Atleast AWS Experience
- Exposure to Kubernetes / Serverless Architecture
Skills:
- 3-7+ years of experience in DevOps Engineering
- Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
- Experience with Docker Swarm, Docker Compose, Docker Engine
- Experience with Provisioning and managing VM's - Virtual Machines
- Experience / strong knowledge with Network Topologies, Network Research,
- Jenkins, BitBucket, Jira
- Ansible or other Automation Configuration Management System tools
- Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
- Linux Systems Administration -: Redhat
Additional Preference:
Security, SSL configuration, Best Practices
Exp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
Devops Engineer Position - 3+ years
Kubernetes, Helm - 3+ years (dev & administration)
Monitoring platform setup experience - Prometheus, Grafana
Azure/ AWS/ GCP Cloud experience - 1+ years.
Ansible/Terraform/Puppet - 1+ years
CI/CD - 3+ years
The role requires you to design development pipelines from the ground up, Creation of Docker Files, and design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.
Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.
Requirements
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloud formation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
Must-Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash, shell Python, Go), Ngnix, Docker.
Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Nagios or similar), IaC(Terraform, cloud formation).
- Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
- Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
- Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
- Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
- Design and implement DevOps processes for new projects following the department's objectives of automation.
- Collaborate on projects with development teams to provide recommendations, support and guidance.
- Work towards full automation, monitoring, virtualization and containerization.
- Create and maintain tools for deployment, monitoring and operations.
- Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
- Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
- Maintain 24/7 availability for responsible systems and be open to on-call rotation.
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












