Kubernetes
Docker
Amazon Web Services (AWS)
PostgreSQL
GitDevOps Engineer (Cloud & Infrastructure)
š Noida | š Full-Time | š§ Experience: 2ā4 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:Ā Autonomously plan, author, execute, and analyze tests across the SDLC.
- Comprehensive Coverage:Ā Supports web, mobile, and enterprise applications.
- Real-World Testing:Ā 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 aĀ DevOps EngineerĀ 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-healingĀ TerraformĀ andĀ HelmĀ templates.
- Agentic CI/CD: ArchitectĀ GitHub ActionsĀ workflows that treat AI agents as first-class citizens, automating environment promotion and risk scoring.
- Kubernetes Mastery: Advanced management ofĀ DockerĀ andĀ K8sĀ clusters to support scalable production workloads.
- Predictive Observability: UseĀ Prometheus, Grafana, and ELKĀ to move from reactive alerts to autonomous anomaly detection.
B. Networking & Data Center Mastery (30% Focus)
- Hybrid Networking: Design and troubleshoot VPCs and subnets inĀ Azure/AWS/GCP, paired with physicalĀ VLANsĀ 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 optimizeĀ Python or GoĀ code; understanding how logic interacts with system-level resources.
- Advanced Scripting: Write idempotentĀ Bash/PythonĀ 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 intoĀ Senior DevOps EngineerĀ orĀ Infrastructure ArchitectĀ 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About TestMu AI (Formely LambdaTest)
About
TestMu AI (formerly LambdaTest) is the worldās first full-stack Agentic AI Quality Engineering Platform.
We built TestMu AI for a reality where software is written by AI and must be shipped at machine speed.
Tech stack
Go Programming (Golang)
Python
React.jsKubernetesDocker
Company social profiles
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GitROLES AND RESPONSIBILITIES:
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DockerKubernetesDevops Engineer
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- Build and manage infrastructure-as-code deployment tooling, solutions, microservices and support services on multiple cloud providers and on-premises
- Ensure reliability, availability and security of our infrastructure and products
- Update our processes and design new processes as needed to optimize performance
- Automate our processes in compliance with our security requirements
- Manage code deployments, fixes, updates, and related processes
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- Work with CI and CD tools, and source control such as GIT and SVN. DevOps Engineer
Skills/Requirements:
- 2+ years of experience in DevOps, SRE or equivalent positions
- Experience working with Infrastructure as Code / Automation tools
- Experience in deploying, analysing, and debugging on multiple environments (AWS, Azure, Private Clouds, Data Centres, etc), Linux/Unix administration, Databases such as MySQL, PostgreSQL, NoSQL, DynamoDB, Cosmos DB, MongoDB, Elasticsearch and Redis (both managed instances as well as self-installed).
- Knowledge of scripting languages such as Python, PowerShell and / or Bash.
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- Hands-on experience with at least three of the following- Terraform, AWS Cloud Formation, Jenkins, Wazuh SIEM, Ansible, Ansible Tower ,Puppet ,Chef
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Work From Home
Start Up Background is preferred
Company Location: Noida
DockerKubernetesAmazon Web Services (AWS)ā¢ DevOps/Build and Release Engineer with maturity to help, define and automate the processes.
ā¢ Work, configure, install, manage, on source control tools like AWS Codecommit / GitHub / BitBucket.
ā¢ Automate implementation/deployment of code in the cloud-based infrastructure (AWS Preferred).
ā¢ Setup monitoring of infrastructure and applications with alerting frameworks
Requirements:
ā¢ Able to code in Python.
ā¢ Extensive experience with building and supporting Docker and Kubernetes in
production.
ā¢ Understand AWS (Amazon Web Services) and be able to jump right into our
environment.
ā¢ Security Clearance will be required.
ā¢ Lambda used in conjunction with S3, CloudTrail and EC2.
ā¢ CloudFormation (Infrastructure as code)
ā¢ CloudWatch and CloudTrail
ā¢ Version Control (SVN, Git, Artifactory, Bit bucket)
ā¢ CI/CD (Jenkins or similar)
ā¢ Docker Compose or other orchestration tools
ā¢ Rest API
ā¢ DB (Postgres/Oracle/SQL Server or NoSql or Graph DB)
ā¢ Bachelorās Degree in Computer Science, Computer Engineering or a closely
related field.
ā¢ Server orchestration using tools like Puppet, Chef, Ansible, etc.
Please send your CV at priyanka.sharma @ neotas.com
Neotas.com
DockerKubernetesAmazon Web Services (AWS)The ideal person for the role will:
Possess a keen mind for solving tough problems by partnering effectively with various teams and stakeholders
Be comfortable working in a fast-paced, dynamic, and agile framework
Focus on implementing an end-to-end automated chain
Responsibilities
_____________________________________________________
Strengthen the application and environment security by applying standards and best practices and providing tooling to make development workflows more secure
Identify systems that can benefit from automation, monitoring and infrastructure-as-code and develop and scale products and services accordingly.
Implement sophisticated alerts and escalation mechanisms using automated processes
Help increase production system performance with a focus on high availability and scalability
Continue to keep the lights on (day-to-day administration)
Programmatically create infrastructure in AWS, leveraging Autoscaling Groups, Security Groups, Route53, S3 and IAM with Terraform and Ansible.
Enable our product development team to deliver new code daily through Continuous Integration and Deployment Pipelines.
Create a secure production infrastructure and protect our customer data with continuous security practices and monitoring. Design, develop and scale infrastructure-as-code
Establish SLAs for service uptime, and build the necessary telemetry and alerting platforms to enforce them
Architect and build continuous data pipelines for data lakes, Business Intelligence and AI practices of the company
Remain up to date on industry trends, share knowledge among teams and abide by industry best practices for configuration management and automation.
Qualifications and Background
_______________________________________________________
Graduate degree in Computer Science and Engineering or related technologies
Work or research project experience of 5-7 years, with a minimum of 3 years of experience directly related to the job description
Prior experience working in HIPAA / Hi-Trust frameworks will be given preference
About Witmer Health
_________________________________________________________
We exist to make mental healthcare more accessible, affordable, and effective. At Witmer, we are on a mission to build a research-driven, global mental healthcare company to work on developing novel solutions - by harnessing the power of AI/ML and data science - for a range of mental illnesses like depression, anxiety, OCD, and schizophrenia, among others. Our first foray will be in the space of workspace wellness, where we are building tools to help individual employees and companies improve their mental wellness and raise productivity levels.
DockerKubernetesAmazon Web Services (AWS)Implementing various development, testing, automation tools, and IT infrastructure
Planning the team structure, activities, and involvement in project management activities.
Managing stakeholders and external interfaces
Setting up tools and required infrastructure
Defining and setting development, test, release, update, and support processes for DevOps operation
Have the technical skill to review, verify, and validate the software code developed in the project.
Troubleshooting techniques and fixing the code bugs
Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
Encouraging and building automated processes wherever possible
Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
Incidence management and root cause analysis
Coordination and communication within the team and with customers
Selecting and deploying appropriate CI/CD tools
Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
Mentoring and guiding the team members
Monitoring and measuring customer experience and KPIs
Managing periodic reporting on the progress to the management and the customer
KubernetesDockerAs 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
ā¢ Develop Collaborate in large-scale systems design discussions.
ā¢ Deploying and maintaining in-house/customer systems ensuring high availability,
performance and optimal cost.
ā¢ Automate build pipelines. Ensuring right architecture for CI/CD
ā¢ Work with engineering leaders to ensure cloud security
ā¢ Develop standard operating procedures for various facets of Infrastructure
services (CI/CD, Git Branching, SAST, Quality gates, Auto Scaling)
ā¢ Perform & automate regular backups of servers & databases. Ensure rollback and
restore capabilities are Realtime and with zero-downtime.
ā¢ Lead the entire DevOps charter for ONE Championship. Mentor other DevOps
engineers. Ensure industry standards are followed.
Requirements
ā¢ Overall 5+ years of experience in as DevOps Engineer/Site Reliability Engineer
ā¢ B.E/B.Tech in CS or equivalent streams from institute of repute
ā¢ Experience in Azure is a must. AWS experience is a plus
ā¢ Experience in Kubernetes, Docker, and containers
ā¢ Proficiency in developing and deploying fully automated environments using
Puppet/Ansible and Terraform
ā¢ Experience with monitoring tools like Nagios/Icinga, Prometheus, AlertManager,
Newrelic
ā¢ Good knowledge of source code control (git)
ā¢ Expertise in Continuous Integration and Continuous Deployment setup using Azure
Pipeline or Jenkins
ā¢ Strong experience in programming languages. Python is preferred
ā¢ Experience in scripting and unit testing
ā¢ Basic knowledge of SQL & NoSQL databases
ā¢ Strong Linux fundamentals
ā¢ Experience in SonarQube, Locust & Browserstack is a plus
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon