
We are looking for a highly skilled and experienced Senior IT Infrastructure Automation Engineer to join our dynamic team. This critical role involves designing, developing, and implementing automation solutions that streamline IT operations, enhance reliability, and improve scalability across on-premises, cloud, and hybrid environments. Lead initiatives that reduce manual effort, increase consistency, and support critical infrastructure systems while collaborating closely with cross-functional teams.
Must Have Skills:
Scripting Languages:
PowerShell (advanced modules)
Python (advanced scripting & modules)
Bash (for Linux automation)
Configuration & Orchestration:
Strong expertise in Ansible
Operating Systems:
Windows Server (advanced)
Linux (Ubuntu, CentOS)
Virtualization:
VMware (advanced knowledge)
Nutanix (working knowledge)
Integration: REST APIs for system integrations
Good to Have Skills:
DevOps tools: Terraform, Kubernetes
Cloud Platforms: AWS, Azure
Citrix Cloud & NetScaler experience
Commvault backup automation
Endpoint management with BigFix, JAMF
Networking: routing, firewalls, ACLs
Database administration and scripting
Basic web development (Ruby, PHP, Python, JavaScript)
Job Description:
Automation Strategy & Development: Design and implement automation workflows for routine IT operations across Windows and Linux environments (e.g., user management, patching, service configuration). Create and manage scripts for: Active Directory (user/group management, GPOs, security settings), DNS & DHCP management. Develop custom automation tools using Python, PowerShell, and Bash to support various infrastructure needs.
Virtualization & Cloud Automation: Automate provisioning, scaling, and monitoring for VMware and Nutanix environments. Develop automation for Citrix Cloud and NetScaler for tasks like app publishing and load balancing. Integrate and automate cloud components (AWS or Azure) to support a hybrid infrastructure.
Monitoring & Backup Reliability: Implement automated LogicMonitor solutions for proactive issue detection. Build automation scripts for Commvault to manage backup and recovery, including reporting. Create monitoring and alerting tools using Python, PowerShell, or Bash.
Integration & Tooling: Use REST APIs to integrate third-party platforms (e.g., ServiceNow, LogicMonitor, NetScaler). Leverage Ansible for configuration management across Windows and Linux. (Preferred) Use DevOps tools such as Terraform and Kubernetes for provisioning and orchestration.
Endpoint Management & Security: Automate endpoint patching, software deployment, and asset tracking using tools like BigFix, JAMF, and Active Directory. Collaborate with cybersecurity teams to automate threat response and enforce compliance standards.
Documentation & Collaboration: Maintain clear and accurate documentation for all automation solutions, procedures, and systems. Keep the CMDB up to date for server and workstation deployments. Provide guidance and support to other administrators using automation tools. Record project and support activities using ServiceNow or similar platforms. Participate in regular team and stakeholder meetings to share updates and gather feedback.

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We are looking for a passionate DevOps Engineer who can support deployment and monitor our Production, QE, and Staging environments performance. Applicants should have a strong understanding of UNIX internals and should be able to clearly articulate how it works. Knowledge of shell scripting & security aspects is a must. Any experience with infrastructure as code is a big plus. The key responsibility of the role is to manage deployments, security, and support of business solutions. Having experience in database applications like Postgres, ELK, NodeJS, NextJS & Ruby on Rails is a huge plus. At VakilSearch. Experience doesn't matter, passion to produce change matters
Responsibilities and Accountabilities:
- As part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the infra components of VakilSearch’s product which are hosted in cloud services & on-prem facility
- Design, build tools and framework that support deploying and managing our platform & Exploring new tools, technologies, and processes to improve speed, efficiency, and scalability
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restore of different Env
- Manage resources in a cost-effective, innovative manner including assisting subordinates ineffective use of resources and tools
- Resolve incidents as escalated from Monitoring tools and Business Development Team
- Implement and follow security guidelines, both policy and technology to protect our data
- Identify root cause for issues and develop long-term solutions to fix recurring issues and Document it
- Strong in performing production operation activities even at night times if required
- Ability to automate [Scripts] recurring tasks to increase velocity and quality
- Ability to manage and deliver multiple project phases at the same time
I Qualification(s):
- Experience in working with Linux Server, DevOps tools, and Orchestration tools
- Linux, AWS, GCP, Azure, CompTIA+, and any other certification are a value-add
II Experience Required in DevOps Aspects:
- Length of Experience: Minimum 1-4 years of experience
- Nature of Experience:
- Experience in Cloud deployments, Linux administration[ Kernel Tuning is a value add ], Linux clustering, AWS, virtualization, and networking concepts [ Azure, GCP value add ]
- Experience in deployment solutions CI/CD like Jenkins, GitHub Actions [ Release Management is a value add ]
- Hands-on experience in any of the configuration management IaC tools like Chef, Terraform, and CloudFormation [ Ansible & Puppet is a value add ]
- Administration, Configuring and utilizing Monitoring and Alerting tools like Prometheus, Grafana, Loki, ELK, Zabbix, Datadog, etc
- Experience with Containerization and orchestration tools like Docker, and Kubernetes [ Docker swarm is a value add ]Good Scripting skills in at least one interpreted language - Shell/bash scripting or Ruby/Python/Perl
- Experience in Database applications like PostgreSQL, MongoDB & MySQL [DataOps]
- Good at Version Control & source code management systems like GitHub, GIT
- Experience in Serverless [ Lambda/GCP cloud function/Azure function ]
- Experience in Web Server Nginx, and Apache
- Knowledge in Redis, RabbitMQ, ELK, REST API [ MLOps Tools is a value add ]
- Knowledge in Puma, Unicorn, Gunicorn & Yarn
- Hands-on VMWare ESXi/Xencenter deployments is a value add
- Experience in Implementing and troubleshooting TCP/IP networks, VPN, Load Balancing & Web application firewalls
- Deploying, Configuring, and Maintaining Linux server systems ON premises and off-premises
- Code Quality like SonarQube is a value-add
- Test Automation like Selenium, JMeter, and JUnit is a value-add
- Experience in Heroku and OpenStack is a value-add
- Experience in Identifying Inbound and Outbound Threats and resolving it
- Knowledge of CVE & applying the patches for OS, Ruby gems, Node, and Python packages
- Documenting the Security fix for future use
- Establish cross-team collaboration with security built into the software development lifecycle
- Forensics and Root Cause Analysis skills are mandatory
- Weekly Sanity Checks of the on-prem and off-prem environment
III Skill Set & Personality Traits required:
- An understanding of programming languages such as Ruby, NodeJS, ReactJS, Perl, Java, Python, and PHP
- Good written and verbal communication skills to facilitate efficient and effective interaction with peers, partners, vendors, and customers
IV Age Group: 21 – 36 Years
V Cost to the Company: As per industry standards
-
Working with Ruby, Python, Perl, and Java
-
Troubleshooting and having working knowledge of various tools, open-source technologies, and cloud services.
-
Configuring and managing databases and cache layers such as MySQL, Mongo, Elasticsearch, Redis
-
Setting up all databases and for optimisations (sharding, replication, shell scripting etc)
-
Creating user, Domain handling, Service handling, Backup management, Port management, SSL services
-
Planning, testing & development of IT Infrastructure ( Server configuration and Database) and handling the technical issue related to server Docker and VM optimization
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Demonstrate awareness of DB management, server related work, Elasticsearch.
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Selecting and deploying appropriate CI/CD tools
-
Striving for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
-
Experience working on Linux based infrastructure
-
Awareness of critical concepts in DevOps and Agile principles
-
6-8 years of experience
Position: Senior DevOps Engineer (Azure Cloud Infra & Application deployments)
Location:
Hyderabad
Hiring a Senior
DevOps engineer having 2 to 5 years of experience.
Primary Responsibilities
Strong Programming experience in PowerShell and batch
scripts.
Strong expertise in Azure DevOps, GitLab, CI/CD, Jenkins and
Git Actions, Azure Infrastructure.
Strong
experience in configuring infrastructure and Deployments application in
Kubernetes, docker & Helm charts, App Services, Server less, SQL database, Cloud
services and Container deployment.
Continues
Integration, deployment, and version control (Git/ADO).
Strong experience in managing and configuring RBAC, managed identity and
security best practices for cloud environments.
Strong verbal and written communication skills.
Experience with agile development process.
·
Good analytical skills
Additional Responsibility.
Familiar with
various design and architecture patterns.
Work with modern frameworks and design patterns.
Experience with cloud applications Azure/AWS. Should have experience in developing solutions and plugins and should have used XRM Toolbox/ToolKit.
Exp in Customer Portal and Fetchxml and Power Apps and Power Automate is good to have.

A Strong Devops experience of at least 4+ years
Strong Experience in Unix/Linux/Python scripting
Strong networking knowledge,vSphere networking stack knowledge desired.
Experience on Docker and Kubernetes
Experience with cloud technologies (AWS/Azure)
Exposure to Continuous Development Tools such as Jenkins or Spinnaker
Exposure to configuration management systems such as Ansible
Knowledge of resource monitoring systems
Ability to scope and estimate
Strong verbal and communication skills
Advanced knowledge of Docker and Kubernetes.
Exposure to Blockchain as a Service (BaaS) like - Chainstack/IBM blockchain platform/Oracle Blockchain Cloud/Rubix/VMWare etc.
Capable of provisioning and maintaining local enterprise blockchain platforms for Development and QA (Hyperledger fabric/Baas/Corda/ETH).
- Experience using AWS (that’s just common sense)
- Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
- Experience building and maintaining cloud-native applications
- A solid background in Linux/Unix and Windows server system administration
- Experience using https://www.simplilearn.com/tutorials/devops-tutorial/devops-tools" target="_blank">DevOps tools in a cloud environment, such as Ansible, Artifactory, https://www.simplilearn.com/tutorials/docker-tutorial/what-is-docker-container" target="_blank">Docker, GitHub, https://www.simplilearn.com/tutorials/jenkins-tutorial/what-is-jenkins" target="_blank">Jenkins, https://www.simplilearn.com/tutorials/kubernetes-tutorial/what-is-kubernetes" target="_blank">Kubernetes, Maven, and Sonar Qube
- Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic
- Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
- An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
- Knowledge of one or more of the most-used programming languages available for today’s cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
- Experience in troubleshooting distributed systems
- Proficiency in script development and scripting languages
- The ability to be a team player
- The ability and skill to train other people in procedural and technical topics
- Strong communication and collaboration skills
As a special aside, an AWS engineer who works in DevOps should also have experience with:
- The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
- An understanding of automation
- Work towards improving the following 4 verticals - scalability, availability, security, and cost, for company's workflows and products.
- Help in provisioning, managing, optimizing cloud infrastructure in AWS (IAM, EC2, RDS, CloudFront, S3, ECS, Lambda, ELK etc.)
- Work with the development teams to design scalable, robust systems using cloud architecture for both 0-to-1 and 1-to-100 products.
- Drive technical initiatives and architectural service improvements.
- Be able to predict problems and implement solutions that detect and prevent outages.
- Mentor/manage a team of engineers.
- Design solutions with failure scenarios in mind to ensure reliability.
- Document rigorously to keep track of all changes/upgrades to the infrastructure and as well share knowledge with the rest of the team
- Identify vulnerabilities during development with actionable information to empower developers to remediate vulnerabilities
- Automate the build and testing processes to consistently integrate code
- Manage changes to documents, software, images, large web sites, and other collections of code, configuration, and metadata among disparate teams
- 7-10 years experience with secure SDLC/DevSecOps practices such as automating security processes within CI/CD pipeline.
- At least 4 yrs. experience designing, and securing Data Lake & Web applications deployed to AWS, Azure, Scripting/Automation skills on Python, Shell, YAML, JSON
- At least 4 years of hands-on experience with software development lifecycle, Agile project management (e.g. Jira, Confluence), source code management (e.g. Git), build automation (e.g. Jenkins), code linting and code quality (e.g. SonarQube), test automation (e.g. Selenium)
- Hand-on & Solid understanding of Amazon Web Services & Azure-based Infra & applications
- Experience writing cloud formation templates, Jenkins, Kubernetes, Docker, and microservice application architecture and deployment.
- Strong know-how on VA/PT integration in CI/CD pipeline.
- Experience in handling financial solutions & customer-facing applications
Roles
- Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using continuous integration and continuous deployment principles, methodologies, and technologies
- Manage & deliver diverse cloud [AWS, Azure, GCP] DevSecOps journeys
- Identify, prototype, engineer, and deploy emerging software engineering methodologies and tools
- Maximize automation and enhance DevSecOps pipelines and other tasks
- Define and promote enterprise software engineering and DevSecOps standards, practices, and behaviors
- Operate and support a suite of enterprise DevSecOps services
- Implement security automation to decrease the loop between the development and deployment processes.
- Support project teams to adopt & integrate the DevSecOps environment
- Managing application vulnerabilities, Data security, encryption, tokenization, access management, Secure SDLC, SAST/DAST
- Coordinate with development and operations teams for practical automation solutions and custom flows.
- Own DevSecOps initiatives by providing objective, practical and relevant ideas, insights, and advice.
- Act as Release gatekeeper with an understanding of OWASP top 10 lists of vulnerabilities, NIST SP-800-xx, NVD, CVSS scoring, etc concepts
- Build workflows to ensure a successful DevSecOps journey for various enterprise applications.
- Understand the strategic direction to reach business goals across multiple projects & teams
- Collaborate with development teams to understand project deliverables and promote DevSecOps culture
- Formulate & deploy cloud automation strategies and tools
Skills
- Knowledge of the DevSecOps culture and principles.
- An understanding of cloud technologies & components
- A flair for programming languages such as Shell, Python, Java Scripts,
- Strong teamwork and communication skills.
- Knowledge of threat modeling and risk assessment techniques.
- Up-to-date knowledge of cybersecurity threats, current best practices, and the latest software.
- An understanding of programs such as Puppet, Chef, ThreatModeler, Checkmarx, Immunio, and Aqua.
- Strong know-how of Kubernetes, Docker, AWS, Azure-based deployments
- On the job learning for new programming languages, automation tools, deployment architectures
Requirements:
● Knowledge of building micro-services.
● Experience in managing cloud infrastructure with disaster recovery and security in
mind (AWS, GCP, Azure).
● Experience with High Availability clusters setup.
● Experience in creating alerting and monitoring strategies.
● Strong debugging skills.
● Experience with 0 downtime Continuous Delivery setup (Jenkins, AWS Code
Deploy, Team City, Go CD etc).
● Experience with Infrastructure as Code & Automation tools (Bash, Ansible,
Puppet, Chef, Terraform etc).
● Master of *nix systems, including working with docker, process & network
monitoring tools.
● Knowledge of monitoring tools like New Relic, App Dynamics etc.
● Experience with Messaging systems (RMQ, Kafka etc. ).
● Knowledge of DevOps Intelligence.
● Experience in setting up & driving DevOps initiatives in side the org Excellen.
● Good team player.
● Good to have experience in Kubernetes cluster management.
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery







