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POSITION SUMMARY:

We are looking for a passionate, high energy individual to help build and manage the infrastructure network that powers the Product Development Labs for F5 Inc. The F5 Infra Engineer plays a critical role to our Product Development team by providing valuable services and tools for the F5 Hyderabad Product Development Lab. The Infra team supports both production systems and customized/flexible testing environments used by Test and Product Development teams. As an Infra Engineer, you ’ll have the opportunity to work with cutting-edge technology and work with talented individuals. The ideal candidate will have experience in Private and Public Cloud – AWS-AZURE-GCP, OpenStack, storage, Backup, VMware, KVM, XEN, HYPER-V Hypervisor Server Administration, Networking and Automation in Data Center Operations environment at a global enterprise scale with Kubernetes, OpenShift Container Flatforms.

EXPERIENCE

7- 9+ Years – Software Engineer III

PRIMARY RESPONSIBILITIES:

• Drive the design, Project Build, Infrastructure setup, monitoring, measurements, and improvements around the quality of services Provided, Network and Virtual Instances service from OpenStack, VMware VIO, Public and private cloud and DevOps environments.

• Work closely with the customers and understand the requirements and get it done on timelines.

• Work closely with F5 architects and vendors to understand emerging technologies and F5 Product Roadmap and how they would benefit the Infra team and its users.

• Work closely with the Team and complete the deliverables on-time

• Consult with testers, application, and service owners to design scalable, supportable network infrastructure to meet usage requirements.

• Assume ownership for large/complex systems projects; mentor Lab Network Engineers in the best practices for ongoing maintenance and scaling of large/complex systems.

• Drive automation efforts for the configuration and maintainability of the public/private Cloud.  

• Lead product selection for replacement or new technologies

• Address user tickets in a timely manner for the covered services

• Responsible for deploying, managing, and supporting production and pre-production environments for our core systems and services.

• Migration and consolidations of infrastructure

• Design and implement major service and infrastructure components.

• Research, investigate and define new areas of technology to enhance existing service or new service directions.

• Evaluate performance of services and infrastructure; tune, re-evaluate the design and implementation of current source code and system configuration.

• Create and maintain scripts and tools to automate the configuration, usability and troubleshooting of the supported applications and services.

• Ability to take ownership on activities and new initiatives.

• Infra Global Support from India towards product Development teams.

• On-call support on a rotational basis for a global turn-around time-zones

• Vendor Management for all latest hardware and software evaluations keep the system up-to-date.

KNOWLEDGE, SKILLS AND ABILITIES:

• Have an in-depth multi-disciplined knowledge of Storage, Compute, Network, DevOps technologies and latest cutting-edge technologies.

• Multi-cloud - AWS, Azure, GCP, OpenStack, DevOps Operations

• IaaS- Infrastructure as a service, Metal as service, Platform service

• Storage – Dell EMC, NetApp, Hitachi, Qumulo and Other storage technologies

• Hypervisors – (VMware, Hyper-V, KVM, Xen and AHV)

• DevOps – Kubernetes, OpenShift, docker, other container and orchestration flatforms

• Automation – Scripting experience python/shell/golan , Full Stack development and Application Deployment

• Tools - Jenkins, splunk, kibana, Terraform, Bitbucket, Git, CI/CD configuration.

• Datacenter Operations – Racking, stacking, cable matrix, Solution Design and Solutions Architect 

• Networking Skills –   Cisco/Arista Switches, Routers, Experience on Cable matrix design and pathing (Fiber/copper)

• Experience in SAN/NAS storage – (EMC/Qumulo/NetApp & others)

• Experience with Red Hat Ceph storage.

• A working knowledge of Linux, Windows, and Hypervisor Operating Systems and virtual machine technologies

• SME - subject matter expert for all cutting-edge technologies

• Data center architect professional & Storage Expert level Certified professional experience .

• A solid understanding of high availability systems, redundant networking and multipathing solutions

• Proven problem resolution related to network infrastructure, judgment, negotiating and decision-making skills along with excellent written and oral communication skills.

• A Working experience in Object – Block – File storage Technologies

• Experience in Backup Technologies and backup administration.

• Dell/HP/Cisco UCS server’s administration is an additional advantage.

• Ability to quickly learn and adopt new technologies.

• A very very story experience and exposure towards open-source flatforms.

• A working experience on monitoring tools Zabbix, nagios , Datadog etc ..

• A working experience on and BareMetal services and OS administration.

• A working experience on the cloud like AWS- ipsec, Azure - express route, GCP – Vpn tunnel etc.

• A working experience in working using software define network like (VMware NSX, SDN, Openvswitch etc ..)

• A working experience with systems engineering and Linux /Unix administration

• A working experience with Database administration experience with PostgreSQL, MySQL, NoSQL

• A working experience with automation/configuration management using either Puppet, Chef or an equivalent

• A working experience with DevOps Operations Kubernetes, container, Docker, and git repositories

• Experience in Build system process and Code-inspect and delivery methodologies.

• Knowledge on creating Operational Dashboards and execution lane.

• Experience and knowledge on DNS, DHCP, LDAP, AD, Domain-controller services and PXE Services

• SRE experience in responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning.

• Vendor support – OEM upgrades, coordinating technical support and troubleshooting experience.

• Experience in handling On-call Support and hierarchy process.

• Knowledge on scale-out and scale-in architecture.

• Working experience in ITSM / process Management tools like ServiceNow, Jira, Jira Align.

• Knowledge on Agile and Scrum principles

• Working experience with ServiceNow

• Knowledge sharing, transition experience and self-learning Behavioral.

Job Summary

We are seeking a highly skilled AWS Cloud/DevOps Engineer with hands-on experience in Amazon Web Services (AWS), Infrastructure as Code (Terraform), and observability tools such as Splunk, AppDynamics, or Grafana. The ideal candidate will be responsible for designing, deploying, automating, and supporting scalable cloud infrastructure while ensuring reliability, security, and operational efficiency.

Key Responsibilities

• Design, deploy, and manage cloud infrastructure on AWS.
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Automate infrastructure provisioning and application deployments.
• Configure and manage monitoring, logging, and alerting using Splunk, AppDynamics, or Grafana.
• Monitor system performance and troubleshoot infrastructure and application issues.
• Implement AWS security best practices, IAM policies, and networking configurations.
• Support and optimize CI/CD pipelines for automated deployments.
• Collaborate with development, security, and operations teams to improve platform reliability.
• Optimize cloud resources for performance, availability, scalability, and cost efficiency.
• Create and maintain technical documentation, operational procedures, and runbooks.

Required Skills

• Strong hands-on experience with Amazon Web Services (AWS).
• Expertise in Terraform for Infrastructure as Code.
• Experience with one or more monitoring/observability tools:
• Splunk
• AppDynamics
• Grafana
• Strong knowledge of AWS services such as:
• EC2
• VPC
• IAM
• S3
• RDS
• CloudWatch
• ELB/ALB
• Auto Scaling
• Route 53
• Experience with Linux administration.
• Proficiency in scripting using Bash, Python, or Shell scripting.
• Experience with Git and version control systems.
• Knowledge of CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or AWS CodePipeline.
• Strong troubleshooting and problem-solving skills.

Preferred Skills

• Experience with Docker and Kubernetes (EKS).
• Knowledge of Prometheus and Grafana-based monitoring.
• Familiarity with Ansible or other configuration management tools.
• Understanding of AWS CloudFormation (preferred but not mandatory).
• AWS Certifications (Associate or Professional) are a plus.

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)

• Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
• Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
• Good experience in Javascript.
• Expertise in Linux / Windows environment.
• Good Experience in Scripting languages like PowerShell / Bash/ Python.
• Proficiency in revision control and DevOps best practices like Git

Job Role : DevOps Engineer (Python + DevOps)

Experience : 4 to 10 Years

Location : Hyderabad

Work Mode : Hybrid

Mandatory Skills : Python, Ansible, Docker, Kubernetes, CI/CD, Cloud (AWS/Azure/GCP)

Job Description :

We are looking for a skilled DevOps Engineer with expertise in Python, Ansible, Docker, and Kubernetes.

The ideal candidate will have hands-on experience automating deployments, managing containerized applications, and ensuring infrastructure reliability.

Key Responsibilities :

• Design and manage containerization and orchestration using Docker & Kubernetes.
• Automate deployments and infrastructure tasks using Ansible & Python.
• Build and maintain CI/CD pipelines for streamlined software delivery.
• Collaborate with development teams to integrate DevOps best practices.
• Monitor, troubleshoot, and optimize system performance.
• Enforce security best practices in containerized environments.
• Provide operational support and contribute to continuous improvements.

Required Qualifications :

• Bachelor’s in Computer Science/IT or related field.
• 4+ years of DevOps experience.
• Proficiency in Python and Ansible.
• Expertise in Docker and Kubernetes.
• Hands-on experience with CI/CD tools and pipelines.
• Experience with at least one cloud provider (AWS, Azure, or GCP).
• Strong analytical, communication, and collaboration skills.

Preferred Qualifications :

• Experience with Infrastructure-as-Code tools like Terraform.
• Familiarity with monitoring/logging tools like Prometheus, Grafana, or ELK.
• Understanding of Agile/Scrum practices.

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

Key Sills Required for Lead DevOps Engineer

Containerization Technologies

Docker, Kubernetes, OpenShift

Cloud Technologies

AWS/Azure, GCP

CI/CD Pipeline Tools

Jenkins, Azure Devops

Configuration Management Tools

Ansible, Chef,

SCM Tools

Git, GitHub, Bitbucket

Monitoring Tools

New Relic, Nagios, Prometheus

Cloud Infra Automation

Terraform

Scripting Languages

Python, Shell, Groovy

·       Ability to decide the Architecture for the project and tools as per the availability

·       Sound knowledge required in the deployment strategies and able to define the timelines

·       Team handling skills are a must

·       Debugging skills are an advantage

·       Good to have knowledge of Databases like Mysql, Postgresql

It is advantageous to be familiar with Kafka. RabbitMQ

·       Good to have knowledge of Web servers to deploy web applications

·       Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning

·       Advantage to having experience in DevSecOps

Note: Tools mentioned in bold are a must and others are added advantage

• Provision Dev Test Prod Infrastructure as code using IaC (Infrastructure as Code)
• Good knowledge on Terraform
• In-depth knowledge of security and IAM / Role Based Access Controls in Azure, management of Azure Application/Network Security Groups, Azure Policy, and Azure Management Groups and Subscriptions.
• Experience with Azure and GCP compute, storage and networking (we can also look for GCP )
• Experience in working with ADLS Gen2, Databricks and Synapse Workspace
• Experience supporting cloud development pipelines using Git, CI/CD tooling, Terraform and other Infrastructure as Code tooling as appropriate
• Configuration Management (e.g. Jenkins, Ansible, Git, etc...)
• General automation including Azure CLI, or Python, PowerShell and Bash scripting
• Experience with Continuous Integration/Continuous Delivery models
• Knowledge of and experience in resolving configuration issues
• Understanding of software and infrastructure architecture
• Experience in Paas, Terraform and AKS
• Monitoring, alerting and logging tools, and build/release processes Understanding of computing technologies across Windows and Linux

Java with cloud

Key Responsibilities :

Look through the various DevOps Tools/Technologies and identify the strengths and provide direction to the DevOps automation team

Out-of-box thought process on the DevOps Automation Platform implementation

Expose various tools and technologies and do POC on integration of the these tools

Evaluate Backend API's for various DevOps tools

Perform code reviews keep in context of RASUI

Mentor the team on the various E2E integrations

Be Liaison in evangelizing the automation solution currently implemented

Bring in various DevOps best Practices/Principles and participate in adoption with various app teams

Must have:

Should possess Bachelors/Masters in computer science with minimum of 8+ years of experience

Should possess minimum 3 years of strong experience in DevOps

Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/SonarQube)

Should possess expertise in optimizing the DevOps stack ( Containers/Kubernetes/Monitoring )

2+ Experience in creating solutions and translate to the development team

Should have strong understanding of OOPs, SDLC (Agile Safe standards)

Proficient in Python , with a good knowledge of its ecosystems (IDEs and Frameworks)

Proficient in various cloud platforms (Azure/AWS/Google cloud platform)

Proficient in various DevOps offerings (Pivotal/OpenStack/Azure DevOps