DevOps Engineer Azure

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.

We are looking for two Senior DevOps Engineer to join our Mumbai-based infrastructure team for a critical on-premises deployment project. This role is focused on transforming manual, legacy deployment practices into structured, secure, and compliant processes within a Windows-first, latency-sensitive environment.

The successful candidate will drive the creation of SOPs, deployment pipelines (without containerization), and a staging environment to support a hybrid stack of ASP.NET MVC (.NET), MS SQL Server (replication mode), and Java microservices with MySQL. This position requires on-site presence in Mumbai due to regulatory and infrastructure constraints and will play a key role in ensuring compliance with SEBI, RBI, PFMI, and IOSCO standards.

Key responsibility would be to lead deployment modernization efforts in a secure, on-premises environment based in Mumbai. The role involves working with legacy Windows infrastructure, ASP.NET MVC apps, MS SQL replication, and manual deployment processes. No containerization or CI/CD tools are in place, so we’re looking for someone who can establish automation and structure from the ground up.

Mandatory: On-site availability in Mumbai, strong experience with manual Windows-based deployments, regulatory compliance awareness (SEBI/RBI/PFMI).

Duration: 3-6 months | Immediate start

We are looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.

We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.

Responsibilities:

• Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
• Manage and maintain Kubernetes clusters on EKS and EC2 instances
• Implement and maintain automated CI/CD pipelines for microservices
• Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
• Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
• Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
• Implement backup and disaster recovery solutions for our microservices and databases
• Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
• Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
• Experience with large scale system design and scaling services is highly desirable

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field
• At least 5 years of experience in AWS DevOps and infrastructure engineering
• Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
• Experience with SOC2 compliance and vulnerability assessment best practices for microservices
• Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
• Strong scripting skills in languages like Python, Bash, and Go
• Excellent communication skills and the ability to work in a collaborative team environment
• Experience with agile development methodologies and DevOps practices
• AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.

Notice period : Can join within a month

As a DevOps Engineer with experience in Kubernetes, you will be responsible for leading and managing a team of DevOps engineers in the design, implementation, and maintenance of the organization's infrastructure. You will work closely with software developers, system administrators, and other IT professionals to ensure that the organization's systems are efficient, reliable, and scalable. 

Specific responsibilities will include: 

• Leading the team in the development and implementation of automation and continuous delivery pipelines using tools such as Jenkins, Terraform, and Ansible. 
• Managing the organization's infrastructure using Kubernetes, including deployment, scaling, and monitoring of applications. 

• Ensuring that the organization's systems are secure and compliant with industry standards. 
• Collaborating with software developers to design and implement infrastructure as code. 
• Providing mentorship and technical guidance to team members. 
• Troubleshooting and resolving technical issues in collaboration with other IT professionals. 
• Participating in the development and maintenance of the organization's disaster recovery and incident response plans. 

To be successful in this role, you should have strong leadership skills and experience with a variety of DevOps and infrastructure tools and technologies. You should also have excellent communication and problem-solving skills, and be able to work effectively in a fast-paced, dynamic environment. 

Requirements:-

• Must have good understanding of  Python and Shell scripting with industry standard coding conventions
• Must possess good coding debugging skills
• Experience in Design & Development of test framework
• Experience in Automation testing
• Good to have experience in Jenkins framework tool
• Good to have exposure to Continuous Integration process
• Experience in Linux and Windows OS
• Desirable to have Build  & Release  Process knowledge
• Experience in  Automating Manual test cases
• Experienced in automating OS / FW related tasks
• Understanding of BIOS / FW QA  is a strong plus
• OpenCV experience is a plus
• Good to have platform exposure
• Must have good Communication skills
• Good Leadership capabilities & collaboration capabilities, as individual will have to work with multiple teams and single handedly maintain the automation framework and enable the Manual validation team