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
Similar jobs
Job Description: Azure Integration Specialist (BizTalk to Azure Integration Services)
Experience: 4+ Years
Location: Hybrid / Remote
Employment Type: Full-Time
Role Overview
We are seeking an experienced Azure Integration Specialist with 4+ years of experience in enterprise application integration, including hands-on expertise in Microsoft BizTalk Server and Azure Integration Services (AIS). The ideal candidate will be responsible for designing, developing, supporting, and migrating integration solutions from BizTalk Server to Azure-based integration platforms.
Key Responsibilities
* Design, develop, and maintain enterprise integration solutions using Azure Integration Services.
* Participate in migration projects from Microsoft BizTalk Server to Azure Integration Services.
* Develop and support Azure Logic Apps, Service Bus, API Management, Azure Functions, and Event Grid solutions.
* Analyze existing BizTalk applications, orchestrations, maps, pipelines, and adapters for migration and modernization.
* Build and consume REST and SOAP APIs and integrate with third-party applications.
* Collaborate with business stakeholders, architects, and development teams to gather integration requirements.
* Troubleshoot and resolve integration issues in production and non-production environments.
* Implement monitoring, logging, and alerting for integration solutions.
* Ensure security, scalability, performance, and compliance requirements are met.
* Prepare technical documentation, design specifications, and deployment procedures.
Required Skills
* 4+ years of experience in enterprise application integration.
* Strong experience with Microsoft BizTalk Server administration and development.
* Hands-on experience with Azure Integration Services:
Ā Ā * Azure Logic Apps
Ā Ā * Azure Service Bus
Ā Ā * Azure API Management
Ā Ā * Azure Functions
Ā Ā * Event Grid
* Experience with XML, XSLT, JSON, and data transformation.
* Strong understanding of REST, SOAP, Web Services, and API integrations.
* Experience with Azure DevOps, CI/CD pipelines, and source control tools.
* Knowledge of integration patterns and messaging concepts.
* Good troubleshooting and analytical skills.
Preferred Skills
* Experience with BizTalk to Azure migration projects.
* Knowledge of Azure Monitoring, Application Insights, and Log Analytics.
* Experience with hybrid integration scenarios.
* Azure certifications are preferred.
Qualifications
* Bachelorās degree in Computer Science, Information Technology, or a related field.
* Strong communication and stakeholder management skills.
* Ability to work independently and in a collaborative team environment.
Machine Learning (ML)The DevOps Engineer will play a critical role in operationalizing artificial intelligence across BellĀ TechlogixĀ client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security.Ā
Ā
Key ResponsibilitiesĀ
ā¢Design, build, andĀ operateĀ cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environmentsĀ
ā¢Implement CI/CD andĀ MLOpsĀ pipelines to enable automated training, testing, deployment, and rollback of AI and ML modelsĀ
ā¢Develop andĀ maintainĀ Infrastructure as Code to provision AI-ready environments consistently across dev/test/prodĀ
ā¢Support AI platform operations including monitoring model health, pipeline execution, computeĀ utilization, and data dependenciesĀ
ā¢Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutionsĀ
ā¢Enable secure and scalable AI integrations using APIs, messaging, and event-driven architecturesĀ
ā¢Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrationsĀ
ā¢Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverageĀ
ā¢Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcementĀ
ā¢Support AI-driven automationĀ useĀ cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI toolsĀ
ā¢Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturityĀ
Ā
Required QualificationsĀ
ā¢Bachelorās degree in Computer Science, Engineering, or equivalent practical experienceĀ
ā¢5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloadsĀ
ā¢Hands-on experience with Microsoft Azure, includingĀ compute, networking, storage, and monitoring servicesĀ
ā¢Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar toolsĀ
ā¢Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM)Ā
ā¢Scripting experience using PowerShell and/or PythonĀ
ā¢Experience supporting production platforms with incident management, change control, and root cause analysisĀ
ā¢Understanding of cloud security fundamentals and enterprise governance requirementsĀ
Ā
Preferred QualificationsĀ
ā¢Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, orĀ MLOpsĀ frameworksĀ
ā¢Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS)Ā
ā¢Experience supporting data pipelines or feature stores used by machine learning systemsĀ
ā¢Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platformsĀ
ā¢Experience with observability toolsĀ
ā¢Knowledge of Responsible AI, data governance, and compliance considerations for AI systemsĀ
ā¢Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)
Amazon Web Services (AWS)GitDockerKubernetesKey Responsibilities:
- Design, implement, and maintain scalable, secure, and cost-effective infrastructure on AWS and Azure
- Set up and manage CI/CD pipelines for smooth code integration and delivery using tools like GitHub Actions, Bitbucket Runners, AWS Code build/deploy, Azure DevOps, etc.
- Containerize applications using Docker and manage orchestration with Kubernetes, ECS, Fargate, AWS EKS, Azure AKS.
- Manage and monitor production deployments to ensure high availability and performance
- Implement and manage CDN solutions using AWS CloudFront and Azure Front Door for optimal content delivery and latency reduction
- Define and apply caching strategies at application, CDN, and reverse proxy layers for performance and scalability
- Set up and manage reverse proxies and Cloudflare WAF to ensure application security and performance
- Implement infrastructure as code (IaC) using Terraform, CloudFormation, or ARM templates
- Administer and optimize databases (RDS, PostgreSQL, MySQL, etc.) including backups, scaling, and monitoring
- Configure and maintain VPCs, subnets, routing, VPNs, and security groups for secure and isolated network setups
- Implement monitoring, logging, and alerting using tools like CloudWatch, Grafana, ELK, or Azure Monitor
- Collaborate with development and QA teams to align infrastructure with application needs
- Troubleshoot infrastructure and deployment issues efficiently and proactively
- Ensure cloud cost optimization and usage tracking
Required Skills & Experience:
- 3-4 years of hands-on experience in a DevOps
- Strong expertise with both AWS and Azure cloud platforms
- Proficient in Git, branching strategies, and pull request workflows
- Deep understanding of CI/CD concepts and experience with pipeline tools
- Proficiency in Docker, container orchestration (Kubernetes, ECS/EKS/AKS)
- Good knowledge of relational databases and experience in managing DB backups, performance, and migrations
- Experience with networking concepts including VPC, subnets, firewalls, VPNs, etc.
- Experience with Infrastructure as Code tools (Terraform preferred)
- Strong working knowledge of CDN technologies: AWS CloudFront and Azure Front Door
- Understanding of caching strategies: edge caching, browser caching, API caching, and reverse proxy-level caching
- Experience with Cloudflare WAF, reverse proxy setups, SSL termination, and rate-limiting
- Familiarity with Linux system administration, scripting (Bash, Python), and automation tools
- Working knowledge of monitoring and logging tools
- Strong troubleshooting and problem-solving skills
Good to Have (Bonus Points):
- Experience with serverless architecture (e.g., AWS Lambda, Azure Functions)
- Exposure to cost monitoring tools like CloudHealth, Azure Cost Management
- Experience with compliance/security best practices (SOC2, ISO, etc.)
- Familiarity with Service Mesh (Istio, Linkerd) and API gateways
- Knowledge of Secrets Management tools (e.g., HashiCorp Vault, AWS Secrets Manager)
KubernetesDockerenvironments: AWS / Azure / GCP
ā¢ Must have strong work experience (2 + years) developing IaC (i.e. Terraform)
ā¢ Must have strong work experience in Ansible development and deployment.
ā¢ Bachelorās degree with a background in math will be a PLUS.
ā¢ Must have 8+ years experience with a mix of Linux and Window systems in a medium to large business
environment.
ā¢ Must have command level fluency and shell scripting experience in a mix of Linux and Windows
environments.
ā¢
ā¢ Must enjoy the experience of working in small, fast-paced teams
ā¢ Identify opportunities for improvement in existing process and automate the process using Ansible Flows.
ā¢ Fine tune performance and operation issues that arise with Automation flows.
ā¢ Experience administering container management systems like Kubernetes would be plus.
ā¢ Certification with Red Hat or any other Linux variant will be a BIG PLUS.
ā¢ Fluent in the use of Microsoft Office Applications (Outlook / Word / Excel).
ā¢ Possess a strong aptitude towards automating and timely completion of standard/routine tasks.
ā¢ Experience with automation and configuration control systems like Puppet or Chef is a plus.
ā¢ Experience with Docker, Kubernetes (or container orchestration equivalent) is nice to have
DockerKubernetesPosition: Senior DevOps Engineer (Azure Cloud Infra & Application deployments)āÆāÆĀ
Location:
HyderabadāÆĀ
Hiring a Senior
DevOps engineer having 2 to 5 years of experience.āÆĀ
Primary ResponsibilitiesāÆ Ā
Ā Ā
Strong Programming experience in PowerShell and batch
scripts.Ā
Strong expertise in Azure DevOps, GitLab, CI/CD, Jenkins and
Git Actions, Azure Infrastructure.Ā
Strong
experience in configuring infrastructure and Deployments application in
Kubernetes, dockerāÆ& Helm charts, App Services, Server less, SQL database, Cloud
services and Container deployment.Ā
Ā Ā Ā Ā Ā Ā
Continues
Integration, deployment, and version control (Git/ADO).āÆĀ
Strong experience in managing and configuring RBAC, managed identity and
security best practices for cloud environments.Ā
Ā
Strong verbal and written communication skills.āÆ
Ā Ā Ā
Experience with agile development process.Ā
Ā·Ā
Good analytical skillsāÆĀ
āÆĀ
Additional Responsibility.āÆĀ
Ā
Familiar with
various design and architecture patterns.Ā
Work with modern frameworks and design patterns.āÆ
Experience with cloud applications Azure/AWS.āÆĀ Should have experience in developing solutions and plugins and should have used XRM Toolbox/ToolKit.
Exp in Customer Portal and Fetchxml and Power Apps and Power Automate is good to have.
- Extensive experience in designing & supporting Azure Managed Services Operations.Ā Ā
- Maintaining the Azure Active Directory and Azure AD authentication.Ā
- Azure update management ā Handling updates/Patching.Ā
- Good understanding of Azure services (Azure App Service, Azure SQL,Ā Ā Azure Storage Account..etc).Ā
- Understanding of load balancers, DNS, virtual networks, NSG and firewalls in cloud environment.Ā
- ARM templates writing, setup automation for resources provisioning.Ā
- Knowledge on Azure automation and Automation Desire State Configuration.Ā
- Good understanding of High Availability and Auto scaling.Ā
- Azure Backups and ASR (Azure Site Recovery)Ā
- Azure Monitoring and Configuration monitoring (performance metrics, OMS)Ā
- Cloud Migration Experience(On premise to Cloud).Ā
- PowerShell scripting for custom tasks automation.Ā
- Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems.Ā
Certification:Ā
Azure Administrator (AZ-103) & Azure Architect (AZ-300 & AZ-301)Ā
DockerKubernetesAmazon Web Services (AWS)Responsibilities
ā Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,
scalable & are of high quality.
ā Build and/or operate platforms that are highly available, elastic, scalable, operable and
observable.
ā Build/Adapt and implement tools that empower the TI AI engineering teams to
self-manage the infrastructure and services owned by them.
ā You will identify, articulate, and lead various long-term tech vision, strategies,
cross-cutting initiatives and architecture redesigns.
ā Design systems and make decisions that will keep pace with the rapid growth of TI AI.
ā Document your work and decision-making processes, and lead presentations and
discussions in a way that is easy for others to understand.
ā Available for on-call during emergencies to handle and resolve problems in a quick and
efficient manner.
Ā
Ā
Ā
Requirements
ā 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and
Kubernetes or similar infrastructure platforms. (preferably AWS)
ā Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test
everything, proactive monitoring etc).
ā Experience in building and operating distributed systems.
ā Understanding of operating systems, virtualization, containerization and networks
preferable
ā Hands-on coding on any of the languages like Python or GoLang.
ā Familiarity with software engineering practices including unit testing, code reviews, and
design documentation.
ā Strong debugging and problem-solving skills Curiosity about how things work and love to
share that knowledge with others.
Ā
Benefits :
ā Work with a world class team working on a very forward looking problem
ā Competitive Pay
ā Flat hierarchy
ā Health insurance for the family
Amazon Web Services (AWS)We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The
candidate will be responsible for automating the deployment of cloud infrastructure and services to
support application development and hosting (architecting, engineering, deploying, and operationally
managing the underlying logical and physical cloud computing infrastructure).
Location: Bangalore
Reporting Manager: VP, Engineering
Job Description:
ā Collaborate with teams to build and deliver solutions implementing serverless,
microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
ā Responsible for deploying highly complex, distributed transaction processing systems.
ā Work on continuous improvement of the products through innovation and learning. Someone with
a knack for benchmarking and optimization
ā Hiring, developing, and cultivating a high and reliable cloud support team
ā Building and operating complex CI/CD pipelines at scale
ā Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud
Storage, Networking in general
ā Collaborate with Product Management and Product Engineering teams to drive excellence in
Google Cloud products and features.
ā Ensures efficient data storage and processing functions in accordance with company security
policies and best practices in cloud security.
ā Ensuring scaled database setup/montioring with near zero downtime
Key Skills:
ā Hands-on software development experience in Python, NodeJS, or Java
ā 5+ years of Linux/Unix Administration monitoring, reliability, and security of Linux-based, online,
high-traffic services and Web/eCommerce properties
ā 5+ years of production experience in large-scale cloud-based Infrastructure (GCP preferred)
ā Strong experience with Log Analysis and Monitoring tools such as CloudWatch, Splunk,Dynatrace, Nagios, etc.
ā Hands-on experience with AWS Cloud ā EC2, S3 Buckets, RDS
ā Hands-on experience with Infrastructure as a Code (e.g., cloud formation, ARM, Terraform,Ansible, Chef, Puppet) and Version control tools
ā Hands-on experience with configuration management (Chef/Ansible)
ā Experience in designing High Availability infrastructure and planning for Disaster Recovery solutions
Regards
Team Merito
DockerKubernetesā¢ Drive the architectural design, solution planning and feasibility study on Cloud Computing Infrastructure.
ā¢ Deliver new IT services and exploit current infrastructure technologies.
ā¢ Drive the infrastructure roadmaps and planning in adopting the cloud infrastructure in a long run.
ā¢ Conduct research and make recommendations on suitable cloud platforms & services.
ā¢ Advise on and implement cloud best practices.
Job Requirements:
Desired understanding of the following - VPC, EC2, S3, IAM, Route 53, Lambda, Billing, AWS MYSQL, Kinesis, API
Gateway, Cloud Watch, EBS, AMI, RDS, Dynamo DB, ELB, Light sail, Kubernetes, Docker, NAT Gateway
Education & Experience:
ā¢ 3 to 5 years related work experience
ā¢ Bachelorās degree in Computer Science, Information Technology or related field
ā¢ Solid experience in infrastructure architecture solutions design
ā¢ Solid knowledge in AWS/Google Cloud
ā¢ Experience in managing implementations on public clouds (AWS/Google Cloud)
ā¢ Excellent analytical and problem-solving skills
ā¢ Good command in written and spoken English.
ā¢ Certification for AWS/Google Cloud Architect ā Associate level
Ā
KaiOS is a mobile operating system for smart feature phones that stormed the scene to become the 3rd largest mobile OS globally (2nd in India ahead of iOS). We are on 100M+ devices in 100+ countries. We recently closed a Series B round with Cathay Innovation, Google and TCL.
Ā
What we are looking for:
- BE/B-Tech in Computer Science or related discipline
- 3+ years of overall commercial DevOps / infrastructure experience, cross-functional delivery-focused agile environment; previous experience as a software engineer and ability to see into and reason about the internals of an application a major plus
- Extensive experience designing, delivering and operating highly scalable resilient mission-critical backend services serving millions of users; experience operating and evolving multi-regional services a major plus
- Strong engineering skills; proficiency in programming languages
- Experience in Infrastructure-as-code tools, for example Terraform, CloudFormation
- Proven ability to execute on a technical and product roadmap
- Extensive experience with iterative development and delivery
- Extensive experience with observability for operating robust distributed systems ā instrumentation, log shipping, alerting, etc.
- Extensive experience with test and deployment automation, CI / CD
- Extensive experience with infrastructure-as-code and tooling, such as Terraform
- Extensive experience with AWS, including services such as ECS, Lambda, DynamoDB, Kinesis, EMR, Redshift, Elasticsearch, RDS, CloudWatch, CloudFront, IAM, etc.
- Strong knowledge of backend and web technology; infrastructure experience with at-scale modern data technology a major plus
- Deep expertise in server-side security concerns and best practices
- Fluency with at least one programming language. We mainly use Golang, Python and JavaScript so far
- Outstanding analytical thinking, problem solving skills and attention to detail
- Excellent verbal and written communication skills
Requirements
Designation: DevOps Engineer
Location: Bangalore OR Hongkong
Experience: 4 to 7 Years
Notice period: 30 days or Less
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon