Junior Cloud / Infrastructure Engineer at Rootflo · Remote only · 1 - 2 years · ₹4L - ₹5L / yr · Raised funding · Remote only · Posted 24 Apr 2026

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

About Rootflo
About
Similar jobs (10)
Cloud Infrastructure Engineer – BANG | 10+ Years
Location: Bangalore
Experience: 10+ Years
Job Description:
- Design, implement, and manage cloud infrastructure across AWS/Azure/GCP environments.
- Strong experience in cloud architecture, compute, storage, networking, and security.
- Manage VMs, VPC/VNet, load balancers, DNS, DHCP, firewalls, and IAM.
- Hands-on experience with Windows/Linux servers, VMware, virtualization, and infrastructure operations.
- Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
- Monitor infrastructure performance, availability, and capacity using tools such as Grafana, Prometheus, or CloudWatch/Azure Monitor.
- Handle incident management, troubleshooting, disaster recovery, backup, and high-availability requirements.
- Work with cross-functional teams to support cloud migration, infrastructure upgrades, and production environments.
- Ensure infrastructure follows security, compliance, and operational best practices.
Must-Have Skills:
Cloud Infrastructure | AWS/Azure/GCP | Networking | Linux/Windows | VMware | Terraform | Ansible | DNS/DHCP | IAM | Monitoring | Backup & DR
Job Title : SDE 3 – Infrastructure Platform Engineer
Experience : 5.5 to 8.5 Years
Number of Positions : 2
Employment Type : C2H (Contract to Hire)
Work Mode : Remote during contractual period → 5 Days WFO after conversion
Contract Duration : 3 Months
Post-Conversion Location : Pune
Notice Period : Immediate Joiners / Serving Notice Period / Up to 15 Days preferred
(Candidates officially serving a 30-day notice period may also be considered if they are on the bench and have a negotiable joining date)
Role Overview :
We are looking for an experienced SDE 3 – Infrastructure Platform Engineer to design, build, and operate scalable, secure, and highly reliable cloud infrastructure and internal platform capabilities.
The ideal candidate will have strong hands-on experience in Cloud Infrastructure, Infrastructure as Code (IaC), CI/CD, Docker, Kubernetes, automation, observability, networking, and distributed systems.
Mandatory Skills : AWS / Azure / GCP, Terraform / CloudFormation, Kubernetes, Docker, CI/CD, Platform / Infrastructure Engineering, Python / Go / Java / Ruby, Networking, Cloud Security, Distributed Systems, Scalability & Reliability, Strong Coding & Automation.
Key Responsibilities :
- Design and maintain scalable, highly available infrastructure on AWS / GCP / Azure.
- Build and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
- Develop automation for infrastructure provisioning, deployments, monitoring, and operations.
- Manage and optimize Docker and Kubernetes workloads.
- Build internal platform tools to improve developer productivity and engineering efficiency.
- Implement monitoring, logging, alerting, and observability solutions.
- Participate in incident response, RCA, postmortems, and reliability improvements.
- Design and improve CI/CD pipelines and deployment automation.
- Contribute to system design, architecture discussions, scalability, security, and cost optimization.
- Collaborate with application, data, and product engineering teams.
Required Skills :
- 5.5 to 8.5 years of experience in Infrastructure / Platform Engineering or similar roles.
- Strong hands-on experience with AWS, GCP, or Azure.
- Strong expertise in Terraform / CloudFormation.
- Experience with CI/CD, Docker, and Kubernetes.
- Strong programming skills in at least one of:
- Python, Go, Java, or Ruby.
- Good understanding of networking, cloud security, distributed systems, scalability, and reliability.
- Experience working with production infrastructure and highly available systems.
- Strong troubleshooting and problem-solving skills.
Nice to Have :
- Experience with SRE practices and production on-call ownership.
- Experience in fintech, payments, banking, or transaction-heavy systems.
- Knowledge of cloud security, compliance, or FinOps/cost optimization.
- Experience building internal developer platforms or productivity tools.
- Previous product company experience.
Interview Process :
Round 1 : Take-Home Coding Assignment – Submit within 48 hours
Round 2 : Coding Assignment Discussion – 1 Hour
Round 3 : Technical Managerial Round – 30 Minutes
Note : The take-home coding assignment is mandatory. Candidates should be comfortable completing and submitting the assignment within 48 hours before proceeding.
Ideal Candidate :
Strong Platform / Infrastructure Engineer with hands-on experience in :
Cloud + Terraform / CloudFormation + Kubernetes + CI/CD + Programming + SRE / Production Operations
Pure DevOps profiles without strong coding and platform engineering experience are not preferred.
We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.
Key Responsibilities
- Review, validate, and optimize existing Terraform code and AWS infrastructure.
- Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
- Design, build, and support secure, scalable, and highly available AWS environments.
- Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
- Lead infrastructure testing, performance tuning, and production readiness activities.
- Drive deployment and operationalization of the platform in the Production environment.
- Implement cloud governance, security, monitoring, and FinOps best practices.
- Troubleshoot and resolve complex cloud infrastructure issues.
Required Skills & Experience
- 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
- Proven experience designing, deploying, and managing AWS production environments.
- Strong hands-on experience with Terraform and Infrastructure-as-Code.
- Experience with CI/CD pipeline automation and DevOps practices.
- Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
- Experience in performance optimization, reliability, and cloud cost management (FinOps).
- Strong scripting and automation skills.
- Experience integrating enterprise applications through APIs and secure connectivity patterns.
WowPe is a leading fintech company revolutionizing the way businesses handle financial transactions. Our suite of innovative products includes a secure Payment Gateway for seamless online transactions, robust Payouts solutions to streamline bulk payments, and a versatile Point of Sale (POS) system for efficient in-store transactions. At WowPe, we’re dedicated to providing user-friendly, scalable, and reliable solutions that empower businesses to grow and succeed in today’s fast-paced digital economy.
We are looking for a highly skilled Cloud Infrastructure & Cloud Network Engineer to design, build, and manage secure, scalable hybrid cloud environments at WowPe. This role will focus on cloud networking, hybrid connectivity, infrastructure automation, security, reliability, and performance across on-prem and cloud platforms (AWS/Azure). You will play a critical role in ensuring high availability, security, and performance of our fintech platforms.
A Day in the Life
- Design and review cloud network architectures (VPC/VNet, routing, segmentation)
- Troubleshoot latency, connectivity, VPN, and performance issues
- Work with DevOps and application teams to support deployments and scalability
- Automate infrastructure provisioning and security guardrails
- Monitor network health, traffic flow, and system performance
- Ensure security, compliance, and disaster recovery readiness
- Support hybrid connectivity between on-prem data centers and cloud environments.
Key Responsibilities
Cloud Networking & Hybrid Architecture
- Design and implement VPC/VNet architectures, subnetting, routing tables, NAT, gateways, and secure segmentation
- Build and manage hybrid connectivity between on-prem data centers and cloud using Site-to-Site VPN, ExpressRoute, Direct Connect
- Configure and manage Layer 4 & Layer 7 load balancers for high availability and traffic distribution
- Architect DNS, CDN, and edge networking strategies for low-latency global access
Security & Zero-Trust
- Implement Zero-Trust networking using security groups, NACLs, identity-aware proxies, mTLS
- Design secure access controls and network isolation
- Work closely with security teams to ensure PCI, ISO, SOC compliance readiness
Automation, Platform & Reliability
- Automate infrastructure provisioning using Infrastructure as Code (Terraform/ARM/CloudFormation)
- Build self-healing, auto-scaling architectures with health checks and fault tolerance
- Support and manage Kubernetes clusters (EKS/AKS) including networking and service communication
- Integrate infra with CI/CD pipelines for safe and frequent deployments
Operations & Observability
- Perform advanced troubleshooting for latency, packet loss, MTU, routing loops
- Implement and manage monitoring, logging, and observability (Prometheus, Grafana, ELK, Azure Monitor, CloudWatch)
- Design and maintain disaster recovery architectures, multi-region networking, and replication strategies
- Ensure high availability, performance optimization, and cost efficiency
Basic Qualifications & Skills
- 4+ years of experience in Cloud Infrastructure & Cloud Networking
- Strong hands-on experience with AWS and/or Azure
- Deep understanding of VPC/VNet, routing, NAT, gateways, load balancers, DNS
- Experience with Hybrid connectivity (VPN, ExpressRoute, Direct Connect)
- Solid knowledge of network security, firewalls, access control, segmentation
- Hands-on experience with Infrastructure as Code (Terraform preferred)
- Experience in monitoring, troubleshooting, and incident handling
- Strong understanding of high availability, DR, and performance optimization
Preferred Qualifications
- Experience in fintech, BFSI, or high-compliance environments
- Exposure to Zero-Trust architecture and security best practices
- Experience with Kubernetes (EKS/AKS), service mesh, microservices networking
- Familiarity with CI/CD pipelines and DevOps practices
- Knowledge of CDN, edge networking, and global traffic management
- Experience with compliance frameworks (PCI-DSS, ISO 27001, SOC2)
- Ability to design large-scale, resilient, production-grade architectures
Cloud Expertise(Azure):
• Strong understanding of cloud services and resources like AI services, webapp, database, including monitoring tools like Azure Monitor and Log Analytics.
• Experience with Infrastructure as Code (IaC) tools such as Arm template / Bicep/Terraform.
• Deep understanding of Networking concepts(DNS, DHCP , Hub and Spoke).
• Understanding on policies and security aspects of cloud.
Kubernetes & Helm:
• In-depth knowledge of Kubernetes concepts such as pods, services, ingress, config maps, and secrets.
• Understand of Kubernetes templates and its deployment.
• Proficiency with Helm/ Kustomize or equivalent for Kubernetes package management and deployment automation.
• Implement Kubernetes best practices, including security, networking, and scaling.
• Concepts of Docker and Containers
CI/CD & Programming:
• Hands-on experience with YAML-based CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).
• Familiarity with scripting and automation tools such as PowerShell, Azure CLI, or Bash.
• Proven skill in python programming and concepts.
Monitoring and Observability:
Expertise in creating and managing Grafana dashboards for visualizing metrics and logs.
• Knowledge of Log Analytics & Azure Application Insights for performance monitoring and tracing.
Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience : 5+ Years
Location : Gurugram, Haryana
Work Mode : On-site (Full-time)
About the Role :
We are looking for a skilled DevOps Engineer with 5+ years of experience in cloud infrastructure, CI/CD, automation, Kubernetes, and Site Reliability Engineering (SRE). The ideal candidate will be responsible for building scalable cloud infrastructure, automating deployments, improving system reliability, and ensuring high availability across production environments.
Mandatory Skills :
AWS, Terraform, Ansible, CloudFormation, Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes, Helm, Python, Bash, Grafana, Prometheus, ELK Stack, CloudWatch, New Relic, SRE, CI/CD, Infrastructure as Code (IaC), Linux
Key Responsibilities :
- Design, deploy, and manage cloud infrastructure primarily on AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB, Auto Scaling, Lambda).
- Build and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation.
- Develop and optimize CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
- Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
- Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
- Drive SRE practices by defining SLIs, SLOs, SLAs, handling production incidents, conducting RCA, and improving system reliability.
- Automate operational tasks using Python, Bash, and Groovy scripting.
- Collaborate with Development, QA, Security, and Operations teams to ensure reliable and secure software delivery.
Required Skills & Qualifications :
- Bachelor's degree in Computer Science, IT, Electronics, or a related field.
- 5+ years of experience in DevOps, SRE, or Cloud Infrastructure.
- Strong expertise in AWS, with exposure to Azure/GCP.
- Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
- Strong scripting skills in Python and Bash.
- Experience with monitoring tools such as Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
- Good understanding of Linux, networking, SQL, and cloud security best practices.
Preferred Skills :
- Experience with multi-cloud environments and DevSecOps practices.
- Knowledge of disaster recovery, automation, and microservices architecture.
- Strong troubleshooting, communication, and problem-solving skills.
AWS / Kubernetes / OpenShift / Linux –
Location: Bangalore
Experience: 7–10 Years
Mandatory Skills:
- Strong hands-on experience with AWS
- Experience in Kubernetes & OpenShift
- Strong knowledge of Linux administration
- Experience with Docker & containerization
- Knowledge of CI/CD pipelines and DevOps practices
- Troubleshooting, monitoring, and deployment experience
Role: Cloud/DevOps Engineer – AWS, Kubernetes & OpenShift

Key Skills:
• Bachelor's or Master's degree in Computer Science or related field.
• Minimum 5 years of experience in Platform Engineering, DevOps, or Cloud Infrastructure Engineering.
• Experience migrating data and systems between AWS IaaS and PaaS.
• Experience operating and supporting applications using AWS VPC, EKS, and related services for multi-account operations.
• Experience developing fast and reliable Continuous Integration/Continuous Deployment (CI/CD) workflows used by hundreds of application teams.
• Experience administering and troubleshooting Operating Systems such as Linux, Windows, and MacOS.
• Professional Certifications in AWS Networks, CNCF Technologies, or Kubernetes.
• Experience using and configuring observability tools such as ELK, Prometheus/Grafana, AWS CloudWatch, and Jaeger.
• Experience of applied GitOps principles using ArgoCD or Flux.
• Public examples of code you've worked on with other people using any of these technologies:
o Configuration management/Infrastructure as Code (IAC) tools, such as AWS CDK, AWS CloudFormation, Terraform, Ansible, or Puppet.
o Systems solutions in one or more programming languages, such as Golang, Python, Java.
o Build, Release, Deploy or Ops Workflows using Bamboo, Argo Project, or GitHub Actions.
As a DevOps Engineer at YOYO, you'll own the infrastructure and delivery backbone that keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and observability that let a small, fast-moving team ship confidently and you'll keep our AI and data workloads reliable and affordable at scale. This is a hands-on role with real ownership: you won't be maintaining someone else's setup, you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make deployment boring, incidents rare, and scaling a non-event.
If you are Interested DM me on LinkedIn - Saquib Mundagnur
What You'll Own
CI/CD & developer experience - Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible automated testing, rollbacks, and release controls.Cloud infrastructure & IaC - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.
Containers & orchestration - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch processing for the speech pipeline.
Reliability & observability (SRE) - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.
Data & pipeline infrastructure - Support the infrastructure behind large-scale, edge-to-cloud data movement and processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.
Security & compliance - Bake security into the platform: secrets management, IAM/least-privilege, encryption in transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security requirements) for a product that handles sensitive customer conversations.
Cost & scale - Own cloud cost visibility and optimization; make scaling decisions that balance reliability and spend.
What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production systems at meaningful scale.
- Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and Infrastructure-as-Code (**Terraform** or equivalent).
- Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, Argo, or similar).
- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong automation-first mindset.
- Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, OpenTelemetry, or similar) and running incident response / on-call.
- A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team
Job Summary:
We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.
Roles & Responsibilities:
- Design, deploy, and manage cloud infrastructure on AWS.
- Manage and administer Kubernetes and OpenShift environments.
- Deploy, configure, and troubleshoot containerized applications.
- Perform Linux administration, troubleshooting, and system monitoring.
- Monitor application and infrastructure performance and resolve production issues.
- Automate deployment and operational activities wherever possible.
- Work with development and operations teams to support application deployments.
- Ensure system availability, reliability, and security.
- Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
- Follow DevOps best practices for CI/CD, infrastructure management, and automation.
Required Skills:
- 7–10 years of relevant experience in Cloud/DevOps.
- Strong hands-on experience with AWS.
- Good knowledge of Kubernetes and OpenShift.
- Strong Linux administration and troubleshooting skills.
- Experience in containerization and deployment of applications.
- Good understanding of cloud infrastructure and production support.





