
| 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. |

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About the Role
We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies.
Domains & Responsibilities
Frontend Development
- Build responsive and user-friendly web interfaces
- Translate UI/UX designs into functional applications
- Optimize performance and ensure cross-browser compatibility
Backend Development
- Develop APIs and server-side logic
- Work with databases and data storage solutions
- Ensure application security and performance
DevOps
- Assist in CI/CD pipeline setup and automation
- Manage deployments and cloud infrastructure
- Monitor system performance and reliability
AI / Machine Learning
- Develop and train ML models
- Work on NLP, automation, or AI-driven features
- Analyze datasets and evaluate model performance
Data Engineering
- Build and maintain data pipelines (ETL/ELT)
- Ensure data quality and availability
- Work with large datasets and optimize data workflows
Required Skills (Any Domain)
- Frontend: HTML, CSS, JavaScript, React/Vue/Angular
- Backend: Node.js / Python / Java / PHP, APIs, databases
- DevOps: Linux, Git, CI/CD basics, cloud fundamentals
- AI/ML: Python, ML basics, TensorFlow/PyTorch/Scikit-learn
- Data Engineering: SQL, Python, data processing concepts
Good to Have
- Knowledge of Git and version control
- Basic understanding of cloud platforms (AWS/Azure/GCP)
- Problem-solving mindset and willingness to learn
- Exposure to real-world or academic projects
Who Should Apply
- Students or recent graduates in Computer Science, IT, or related fields
- Candidates with strong interest in any of the above domains
- Self-learners with project experience are highly encouraged
Internship Details
- Duration: 3–6 months
- Mode: Remote
- Certificate + PPO (Pre-Placement Offer) based on performance
What You’ll Gain
- Hands-on experience with real projects
- Mentorship from experienced professionals
- Exposure to industry tools and workflows
- Opportunity to convert to a full-time role
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.
Company Description
Rootflo is an innovative AI-driven company transforming finance back offices through advanced revenue intelligence and workflow automation solutions. Specializing in empowering financial institutions, Rootflo partners with leading banks, lending platforms, and insurance companies to revolutionize their operations. Leveraging the power of artificial intelligence, Rootflo provides efficient and intelligent systems that drive business outcomes. The company is dedicated to delivering impactful advancements for modern financial processes.
About the Role
We are looking for a motivated and technically sound Junior Cloud / Infrastructure Engineer with approximately 1 year of hands-on experience in designing, deploying, and managing cloud infrastructure on AWS, GCP, or Azure using Kubernetes. The candidate will work closely with senior engineers to support and maintain scalable, secure, and highly available cloud environments while gaining exposure across the full cloud stack.
Key Responsibilities
Cloud Infrastructure
- Assist in provisioning and managing cloud resources (VMs, storage, networking, databases) on AWS / GCP / Azure in Kubernetes
- Support infrastructure-as-code (IaC) implementation using Terraform
- Monitor cloud resource usage, costs, and performance; raise alerts for anomalies
- Set up log monitoring and other tracking
- Implementing cost optimizations and efficient resource utilisation
Networking & Security
- Configure VPCs, subnets, security groups, IAM roles, and access policies
- Assist in implementing firewalls, SSL/TLS certificates, and VPN connectivity
- Support compliance and security best practices (CIS benchmarks, least privilege)
CI/CD & DevOps Support
- Work with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or similar)
- Assist in containerization and orchestration using Docker and Kubernetes (EKS / GKE / AKS)
- Support deployment automation and version control workflows
Monitoring & Incident Response
- Use monitoring tools such as CloudWatch, Stackdriver, Azure Monitor, Grafana, or Datadog
- Respond to infrastructure alerts and assist in root cause analysis (RCA)
- Participate in on-call rotations and incident triage as required
Collaboration
- Work closely with development, QA, and product teams to support release cycles
- Maintain documentation for infrastructure, runbooks, and architecture diagrams
- Participate in code reviews for infrastructure scripts and configurations
Required Skills & Qualifications
Cloud Platforms (Any One Primary)
- AWS: EC2, S3, RDS, Lambda, VPC, IAM, ECS/EKS, CloudWatch, Route 53
- GCP: Compute Engine, GCS, Cloud SQL, GKE, Cloud Functions, VPC, IAM, Stackdriver
- Azure: VMs, Azure Storage, Azure SQL, AKS, Azure Functions, VNet, AAD, Azure Monitor
Infrastructure & Automation
- Hands-on with Terraform and/or CloudFormation / ARM Templates / GCP Deployment Manager
- Proficiency in Linux/Unix system administration
- Scripting skills in Bash, Python, or PowerShell
Containers & DevOps
- Working knowledge of Docker (build, push, run, Compose)
- Basic understanding of Kubernetes concepts (pods, deployments, services, ingress)
- Familiarity with at least one CI/CD tool
Networking Fundamentals
- Understanding of DNS, HTTP/HTTPS, TCP/IP, load balancers, CDNs
- Experience with cloud-native networking (VPCs, peering, NAT gateways)
Soft Skills
- Strong problem-solving ability and attention to detail
- Good written and verbal communication
- Eagerness to learn and adapt in a fast-paced environment
Good to Have
- Cloud certification: AWS Solutions Architect Associate / GCP ACE / Azure AZ-900 or AZ-104
- Experience with GitOps tools like ArgoCD or Flux
- Exposure to service mesh (Istio, Linkerd)
- Knowledge of Ansible or Chef/Puppet for configuration management
- Familiarity with observability tools: Prometheus, Grafana, ELK Stack
- Experience with cost optimization and FinOps practices
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for backend, frontend, and mobile applications.
- Manage cloud infrastructure using AWS (EC2, Lambda, S3, VPC, RDS, CloudWatch, ECS/EKS).
- Configure and maintain Docker containers and/or Kubernetes clusters.
- Implement and maintain Infrastructure as Code (IaC) using Terraform / CloudFormation.
- Automate build, deployment, and monitoring processes.
- Manage code repositories using Git/GitHub/GitLab, enforce branching strategies.
- Implement monitoring and alerting using tools like Prometheus, Grafana, CloudWatch, ELK, Splunk.
- Ensure system scalability, reliability, and security.
- Troubleshoot production issues and perform root-cause analysis.
- Collaborate with engineering teams to improve deployment and development workflows.
- Optimize infrastructure costs and improve performance.
Required Skills & Qualifications
- 3+ years of experience in DevOps, SRE, or Cloud Engineering.
- Strong hands-on knowledge of AWS cloud services.
- Experience with Docker, containers, and orchestrators (ECS, EKS, Kubernetes).
- Strong understanding of CI/CD tools: GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline.
- Experience with Linux administration and shell scripting.
- Strong understanding of Networking, VPC, DNS, Load Balancers, Security Groups.
- Experience with monitoring/logging tools: CloudWatch, ELK, Prometheus, Grafana.
- Experience with Terraform or CloudFormation (IaC).
- Good understanding of Node.js or similar application deployments.
- Knowledge of NGINX/Apache and load balancing concepts.
- Strong problem-solving and communication skills.
Preferred/Good to Have
- Experience with Kubernetes (EKS).
- Experience with Serverless architectures (Lambda).
- Experience with Redis, MongoDB, RDS.
- Certification in AWS Solutions Architect / DevOps Engineer.
- Experience with security best practices, IAM policies, and DevSecOps.
- Understanding of cost optimization and cloud cost management.
What you’ll be doing at Novo:
● Systems thinking
● Creating best practices, templates, and automation for build, test, integration and
deployment pipelines on multiple projects
● Designing and developing tools for easily creating and managing dev/test infrastructure
and services in AWS cloud
● Providing expertise and guidance on CI/CD, Github, and other development tools via
containerization
● Monitoring and support systems in Dev, UAT and production environments
● Building mock services and production-like data sources for use in development and
testing
● Managing Github integrations, feature flag systems, code coverage tools, and other
development & monitoring tools tools
● Participating in support rotations to help troubleshoot to infrastructure issues
Stacks you eat everyday ( For Devops Engineer )
● Creating and working with containers, as well as using container orchestration tools
(Kubernetes / Docker)
● AWS: S3, EKS, EC2, RDS, Route53, VPC etc.
● Fair understanding of Linux
● Good knowledge of CI/CD : Jenkins / CircleCI / Github Actions
● Basic level of monitoring
● Support for Deployment along with various Web Servers and Linux environments , both
backend and frontend.
● Bachelor Degree or 5+ years of professional or experience.
● 2+ years of hands-on experience of programming in languages such as Python, Ruby,
Go, Swift, Java, .Net, C++ or similar object-oriented language.
● Experience with automating cloud native technologies, deploying applications, and
provisioning infrastructure.
● Hands-on experience with Infrastructure as Code, using CloudFormation, Terraform, or
other tools.
● Experience developing cloud native CI/CD workflows and tools, such as Jenkins,
Bamboo, TeamCity, Code Deploy (AWS) and/or GitLab.
● Hands-on experience with microservices and distributed application architecture, such
as containers, Kubernetes, and/or serverless technology.
● Hands-on experience in building/managing data pipelines, reporting & analytics.
● Experience with the full software development lifecycle and delivery using Agile
practices.
● Preferable (bonus points if you know these):
○ AWS cloud management
○ Kafka
○ Databricks
○ Gitlab CI/CD hooks
○ Python notebooks
Designation - DevOps Engineer
Urgently required. (NP of maximum 15 days)
Location:- Mumbai
Experience:- 3-5 years.
Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.
DevOps Engineer Job Description:-
Responsibilities
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer & client experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Requirements
- Work experience as a DevOps Engineer or similar software engineering role
- Work experience on AWS
- Good knowledge of Ruby or Python
- Working knowledge of databases and SQL
- Problem-solving attitude
- Team spirit
- BSc in Computer Science, Engineering or relevant field
This company is a network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth. We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud. We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices. We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.
We are looking for very hands-on SRE (Site Reliability Engineering) engineers with 3 to 6 years of experience. The person will be part of team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.
This person MUST have:
- B.E Computer Science or equivalent
- 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
- 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
- 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
- 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
- Experience configuring/maintaining one monitoring tool.
- Excellent verbal & written communication skills.
- Candidates with certifications - AWS, GCP, CKA, etc will be preferred
- Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
- Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2 or Build & Deploy..
Location:
- Remotely, anywhere in India
Timings:
- The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
DevOps
Engineers : Min 3 to 5 Years
Tech Leads : Min 6 to 10 Years
- Implementing & supporting CI/CD/CT pipelines at scale.
- Knowledge and experience using Chef, Puppet or Ansible automation to deploy and be able to manage Linux systems in production and CI environments.
- Extensive experience with Shell scripts (bash).
- Knowledge and practical experience of Jenkins for CI.
- Experienced in build & release management.
- Experience of deploying JVM based applications.
- Enterprise AWS deployment with sound knowledge on AWS & AWS security.
- Knowledge of encryption technologies: IPSec, SSL, SSH.
- Minimum of 2 years of experience as a Linux Systems Engineer (CentOS/Red Hat) ideally supporting a highly-available, 24x7 production environments.
- DNS providing and maintenance.
- Helpful skills: Knowledge of applications relying on Maven, Ant, Gradle, Spring Boot.
- Knowledge of app and server monitoring tools such as ELK/AppEngine.
- Excellent written, oral communication and interpersonal skills.












