DevOps

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.

1. Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
2. Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
3. Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
4. 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.

Role: Senior Platform Engineer (GCP Cloud)

Experience Level: 3 to 6 Years

Work location: Mumbai

Mode : Hybrid

Role & Responsibilities:

• Build automation software for cloud platforms and applications
• Drive Infrastructure as Code (IaC) adoption
• Design self-service, self-healing monitoring and alerting tools
• Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
• Build Kubernetes container platforms
• Introduce new cloud technologies for business innovation

Requirements:

• Hands-on experience with GCP Cloud
• Knowledge of cloud services (compute, storage, network, messaging)
• IaC tools experience (Terraform/CloudFormation)
• SQL & NoSQL databases (Postgres, Cassandra)
• Automation tools (Puppet/Chef/Ansible)
• Strong Linux administration skills
• Programming: Bash/Python/Java/Scala
• CI/CD pipeline expertise (Jenkins, Git, Maven)
• Multi-region deployment experience
• Agile/Scrum/DevOps methodology

Key Skills Required:

·         You will be part of the DevOps engineering team, configuring project environments, troubleshooting integration issues in different systems also be involved in building new features for next generation of cloud recovery services and managed services. 

·         You will directly guide the technical strategy for our clients and build out a new capability within the company for DevOps to improve our business relevance for customers. 

·         You will be coordinating with Cloud and Data team for their requirements and verify the configurations required for each production server and come with Scalable solutions.

·         You will be responsible to review infrastructure and configuration of micro services and packaging and deployment of application

To be the right fit, you'll need:

·         Expert in Cloud Services like AWS.

·         Experience in Terraform Scripting.

·         Experience in container technology like Docker and orchestration like Kubernetes.

·         Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.

·         Experience with various version control system like GIT, build tools (Mavan, ANT, Gradle ) and cloud automation tools (Chef, Puppet, Ansible)

Company Overview 

Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge. 

Position Overview 

We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability. 

Key Responsibilities 

• Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices. 
• Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency. 
• Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users. 
• Implement and manage CI/CD pipelines to automate software delivery and ensure code quality. 
• Manage and configure cloud-based infrastructure services to optimize performance and cost. 
• Collaborate with development teams to design and implement scalable, reliable, and secure applications. 
• Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues. 
• Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data. 
• Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability. 
• Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability. 

Qualifications 

• Bachelor's degree in Computer Science, Engineering, or related field 
• Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role 
• Strong understanding of cloud computing principles and experience with AWS 
• Experience of building and supporting complex CI/CD pipelines using Github 
• Experience of building and supporting infrastructure as a code using Terraform 
• Proficiency in scripting and automating tools 
• Solid understanding of networking concepts and protocols 
• Understanding of security best practices and experience implementing security controls in cloud environments 
• Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage. 

You will be responsible for:

• Managing all DevOps and infrastructure for Sizzle
• We have both cloud and on-premise servers
• Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
• Optimize the pipeline to ensure ultra fast processing
• Work closely with management team on infrastructure upgrades

You should have the following qualities:

• 3+ years of experience in DevOps, and CI/CD
• Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
• Strong background in Linux system administration
• Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
• Deep expertise in Python including multiprocessing / multithreaded applications
• Performance profiling including memory, CPU, GPU profiling
• Error handling and building robust scripts that will be expected to run for weeks to months at a time
• Deploying to production servers and monitoring and maintaining the scripts
• DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
• Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
• Expertise in AWS infrastructure, networking, availability

Optional but beneficial to have:

• Experience with running Nvidia GPU / CUDA-based tasks
• Experience with image processing in python (e.g. openCV, Pillow, etc)
• Experience with PostgreSQL and MongoDB (Or SQL familiarity)
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Bachelors or Masters degree in computer science or related field
• Ideally a gamer or someone interested in watching gaming content online

Skills:

DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration

Seniority: We are looking for a mid to senior level engineer

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply.

Work Experience: 3 years to 6 years

Required qualifications and must have skills  

• 5+ years of experience managing a team of 5+ infrastructure software engineers 

• 5+ years of experience in building and scaling technical infrastructure 

• 5+ years of experience in delivering software 

• Experience leading by influence in multi-team, cross-functional projects 

• Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers 

• Experience with cloud service providers such as AWS, GCP, or Azure 

• Experience with containerization technologies such as Kubernetes and Docker 

Nice to have Skills   

• Experience with Hadoop, Hive and Presto 

• Application/infrastructure benchmarking and optimization 

• Familiarity with modern CI/CD practices 

• Familiarity with reliability best practices 

Responsibilities:

• Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
• Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
• Creating the Architecture Diagrams and documentation for various pieces
• Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response

Requirements:

• 3 - 5 years of professional experience as a DevOps / System Engineer.
• Strong knowledge in Systems Administration & troubleshooting skills with Linux.
• Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
• Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
• Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
• Experience in Infrastructure as code development using Terraform.
• Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
• Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
• Experience with GIT Version Control Software.
• Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
• Strong interpersonal and communication skills; ability to work in a team environment.

• AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
• Setup and management of a Kubernetes cluster, including writing Docker files.
• Experience working in and advocating for agile environments.
• Knowledge in Microservice architecture.

A.P.T Portfolio, a high frequency trading firm that specialises in Quantitative Trading & Investment Strategies.Founded in November 2009, it has been a major liquidity provider in global Stock markets. 

As a manager, you would be incharge of managing the devops team and your remit shall include the following

• Private Cloud - Design & maintain a high performance and reliable network architecture to support  HPC applications
• Scheduling Tool - Implement and maintain a HPC scheduling technology like Kubernetes, Hadoop YARN  Mesos, HTCondor or Nomad for processing & scheduling analytical jobs. Implement controls which allow analytical jobs to seamlessly utilize ideal capacity on the private cloud. 
• Security - Implementing best security practices and implementing data isolation policy between different divisions internally. 
• Capacity Sizing - Monitor private cloud usage and share details with different teams. Plan capacity enhancements on a quarterly basis. 
• Storage solution - Optimize storage solutions like NetApp, EMC, Quobyte for analytical jobs. Monitor their performance on a daily basis to identify issues early.
• NFS - Implement and optimize latest version of NFS for our use case. 
• Public Cloud - Drive AWS/Google-Cloud utilization in the firm for increasing efficiency, improving collaboration and for reducing cost. Maintain the environment for our existing use cases. Further explore potential areas of using public cloud within the firm. 
• BackUps  - Identify and automate  back up of all crucial data/binary/code etc in a secured manner at such duration warranted by the use case. Ensure that recovery from back-up is tested and seamless. 
•  Access Control  - Maintain password less access control and improve security over time. Minimize failures for automated job due to unsuccessful logins. 
•  Operating System  -Plan, test and roll out new operating system for all production, simulation and desktop environments. Work closely with developers to highlight new performance enhancements capabilities of new versions. 
•  Configuration management  -Work closely with DevOps/ development team to freeze configurations/playbook for various teams & internal applications. Deploy and maintain standard tools such as Ansible, Puppet, chef etc for the same. 
•  Data Storage & Security Planning  - Maintain a tight control of root access on various devices. Ensure root access is rolled back as soon the desired objective is achieved.
• Audit access logs on devices. Use third party tools to put in a monitoring mechanism for early detection of any suspicious activity. 
• Maintaining all third party tools used for development and collaboration - This shall include maintaining a fault tolerant   environment for GIT/Perforce, productivity tools such as Slack/Microsoft team, build tools like Jenkins/Bamboo etc

Qualifications 

• Bachelors or Masters Level Degree, preferably in CSE/IT
• 10+ years of relevant experience in sys-admin function
• Must have strong knowledge of IT Infrastructure, Linux, Networking and grid.
• Must have strong grasp of automation & Data management tools.
• Efficient in scripting languages and python

Desirables

• Professional attitude, co-operative and mature approach to work, must be focused, structured and well considered, troubleshooting skills.
•  Exhibit a high level of individual initiative and ownership, effectively collaborate with other team members.

APT Portfolio is an equal opportunity employer

Requirements:-

• Bachelor’s Degree or Master’s in Computer Science, Engineering,Software Engineering or a relevant field. 
• Strong experience with Windows/Linux-based infrastructures, Linux/Unix administration.
• knowledge of Jira, Bitbucket, Jenkins, Xray, Ansible, Windows and  .Net. as their Core Skill.
• Strong experience with databases such as SQL, MS SQL, MySQL, NoSQL.
• Knowledge of scripting languages such as Shell Scripting /Python/ PHP/Groovy, Bash.  
• Experience with project management and workflow tools such as   Agile, Jira / WorkFront etc.
• Experience with open-source technologies and cloud services.
• Experience in working with Puppet or Chef for automation and configuration.
• Strong communication skills and ability to explain protocol and processes with team  and management.  
• Experience in a DevOps Engineer role (or similar role)
• AExperience in software development and infrastructure development is a plus

Job Specifications:-

• Building and maintaining tools, solutions and micro services associated with deployment and our operations platform, ensuring that all meet our customer service standards and reduce errors.  
• Actively troubleshoot any issues that arise during testing and production, catching and solving issues before launch.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
• Deploy product updates as required while implementing integrations when they arise.  
• Automate our operational processes as needed, with accuracy and in compliance with our security requirements.
• Specifying, documenting and developing new product features, and writing automating scripts.  Manage code deployments, fixes, updates and related processes.
• Work with open-source technologies as needed.
• Work with CI and CD tools, and source control such as GIT and SVN.
• Lead the team through development and operations.
• Offer  technical support where needed, developing software for our back-end systems.