
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.

About TestMu AI (Formely LambdaTest)
About
TestMu AI (formerly LambdaTest) is the world’s 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
Connect with the team
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LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
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Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
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Open to work on EST time zone(6pm to 3am)
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· In depth understanding of DevSecOps process and governance
· Understanding of various branching strategies
· Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.)
· Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc)
· Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP)
· Proficient with Terraform
· Hands on experience working with Kubernetes
· Proficient working with GIT version control
· Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc)
· Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc)
· Hands on experience with GitOps

A Strong Devops experience of at least 4+ years
Strong Experience in Unix/Linux/Python scripting
Strong networking knowledge,vSphere networking stack knowledge desired.
Experience on Docker and Kubernetes
Experience with cloud technologies (AWS/Azure)
Exposure to Continuous Development Tools such as Jenkins or Spinnaker
Exposure to configuration management systems such as Ansible
Knowledge of resource monitoring systems
Ability to scope and estimate
Strong verbal and communication skills
Advanced knowledge of Docker and Kubernetes.
Exposure to Blockchain as a Service (BaaS) like - Chainstack/IBM blockchain platform/Oracle Blockchain Cloud/Rubix/VMWare etc.
Capable of provisioning and maintaining local enterprise blockchain platforms for Development and QA (Hyperledger fabric/Baas/Corda/ETH).
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Job Title : DevOps System Engineer
Responsibilities:
- Implementing, maintaining, monitoring, and supporting the IT infrastructure
- Writing scripts for service quality analysis, monitoring, and operation
- Designing procedures for system troubleshooting and maintenance
- Investigating and resolving technical issues by deploying updates/fixes
- Implementing automation tools and frameworks for automatic code deployment (CI/CD)
- Quality control and management of the codebase
- Ownership of infrastructure and deployments in various environments
Requirements:
- Degree in Computer Science, Engineering or a related field
- Prior experience as a DevOps engineer
- Good knowledge of various operating systems - Linux, Windows, Mac.
- Good Knowledge of Networking, virtualization, Containerization technologies.
- Familiarity with software release management and deployment (Git, CI/CD)
- Familiarity with one or more popular cloud platforms such as AWS, Azure, etc.
- Solid understanding of DevOps principles and practices
- Knowledge of systems and platforms security
- Good problem-solving skills and attention to detail
Skills: Linux, Networking, Docker, Kubernetes, AWS/Azure, Git/GitHub, Jenkins, Selenium, Puppet/Chef/Ansible, Nagios
Experience : 5+ years
Location: Prabhadevi, Mumbai
Interested candidates can apply with their updated profiles.
Regards,
HR Team
Aza Fashions
| CI/CD tools Jenkins/Bamboo/Teamcity/CircleCI, DevSecOps Pipeline, Cloud Services (AWS/Azure/GCP), Ansible, Terraform, Docker, Helm, Cloud formation template, Webserver deployment & config, Databases(SQL/NoSQL) deployment & config, Git, Artifactory, Monitoring tools (Nagios, Grafana, Prometheus etc), Application logs (ELK/EFK, Splunk etc.), API Gateways, Security tools, Vault. |
- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
- Demonstrated experience with AWS
- Knowledge of servers, networks, storage, client-server systems, and firewalls
- Strong expertise in Windows and/or Linux operating systems, including system architecture and design, as well as experience supporting and troubleshooting stability and performance issues
- Thorough understanding of and experience with virtualization technologies (e.g., VMWare/Hyper-V)
- Knowledge of core network services such as DHCP, DNS, IP routing, VLANs, layer 2/3 routing, and load balancing is required
- Experience in reading, writing or modifying PowerShell, Bash scripts & Python code.Experience using git
- Working know-how of software-defined lifecycles, product packaging, and deployments
- POSTGRESSQL or Oracle database administration (Backup, Restore, Tuning, Monitoring, Management)
- At least 2 from AWS Associate Solutions Architect, DevOps, or SysOps
- At least 1 from AWS Professional Solutions Architect, DevOps
- AWS: S3, Redshift, DynamoDB, EC2, VPC, Lambda, CloudWatch etc.
- Bigdata: Databricks, Cloudera, Glue and Athena
- DevOps: Jenkins, Bitbucket
- Automation: Terraform, Cloud Formation, Python, Shell scripting Experience in automating AWS infrastructure with Terraform.
- Experience in database technologies is a plus.
- Knowledge in all aspects of DevOps (source control, continuous integration, deployments, etc.)
- Proficiency in security implementation best practices on IAM policies, KMS encryption, Secrets Management, Network Security Groups etc.
- Experience working in the SCRUM Environment
Why you should join us
- You will join the mission to create positive impact on millions of peoples lives
- You get to work on the latest technologies in a culture which encourages experimentation - You get to work with super humans (Psst: Look up these super human1, super human2, super human3, super human4)
- You get to work in an accelerated learning environment
What you will do
- You will provide deep technical expertise to your team in building future ready systems.
- You will help develop a robust roadmap for ensuring operational excellence
- You will setup infrastructure on AWS that will be represented as code
- You will work on several automation projects that provide great developer experience
- You will setup secure, fault tolerant, reliable and performant systems
- You will establish clean and optimised coding standards for your team that are well documented
- You will set up systems in a way that are easy to maintain and provide a great developer experience
- You will actively mentor and participate in knowledge sharing forums
- You will work in an exciting startup environment where you can be ambitious and try new things :)
You should apply if
- You have a strong foundation in Computer Science concepts and programming fundamentals
- You have been working on cloud infrastructure setup, especially on AWS since 8+ years
- You have set up and maintained reliable systems that operate at high scale
- You have experience in hardening and securing cloud infrastructures
- You have a solid understanding of computer networking, network security and CDNs
- Extensive experience in AWS, Kubernetes and optionally Terraform
- Experience in building automation tools for code build and deployment (preferably in JS)
- You understand the hustle of a startup and are good with handling ambiguity
- You are curious, a quick learner and someone who loves to experiment
- You insist on highest standards of quality, maintainability and performance
- You work well in a team to enhance your impact
- Experience working on Linux based infrastructure
- Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
- Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
- Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services
- Awareness of critical concepts in DevOps and Agile principles









