PRESIDIO Overview: Presidio Cloud Solutions helps customers adopt cloud, build cloud-native solutions, and accelerate business outcomes. We are growing our Cloud and Automation engineering team within the Presidio Cloud Solutions Group. Our service offerings range from management and strategic consulting to technology implementation and through to enhancement/integration/support of the solutions we deliver. Presidio Cloud Solutions is looking for exceptional professionals devoted to customer success. Presidio Cloud Solutions is a different kind of company in all the ways that are essential. Presidio Cloud Solutions focus is Business Outcomes for our clients. Our team is on the cutting edge of technology and we are always striving to be better. Lead Cloud Engineer: Years of Experience: 6 - 10 years Location: Chennai, Coimbatore, Bangalore & Hyderabad Responsibilities: Lead architecture and design discussions with architects and clients. Understanding of technology best practices and AWS frameworks such as Well-Architected Framework. Implementing solutions with an emphasis on Cloud Security, cost optimization, and automation. Manage customer engagement and Lead teams to deliver high-quality solutions on time. Identify work opportunities and collaborate with leadership to grow accounts Own project delivery to ensure successful outcomes and positive customer experiences. Ability to initiate proactive meetings with Leads and extended teams to highlight any gaps/delays or other challenges. Subject Matter Expert in technology. Ability to train\mentor the team in functional and technical skills. Ability to decide and provide adequate help on the career progression of people. Support to the application team Work with application development teams to design, implement and where necessary, automate infrastructure on cloud platforms Continuous improvement - Certain engagements will require you to support and maintain existing cloud environments with an emphasis on continuously innovating through automation and enhancing stability/availability through monitoring and improving the security posture Drive internal practice development initiatives to promote growth and innovation within the team. Contribute to internal assets such as technical documentation, blogs, and reusable code components. Requirement: 1. Cloud: (Mandatory): Proven technical experience with AWS or Azure, scripting, Migration and automation. Hands-on knowledge of services and implementation such as Landing Zone, Centralized. Networking (AWS Transit Gateway / Azure Virtual WAN), Serverless (AWS Lambda / Azure Functions), EC2 / Virtual Machines, S3 / Blob Storage, VPC / Virtual Network, IAM, SCP/Azure Policies, Monitoring (CloudWatch / Azure Monitor), SecOps, FinOps, etc. Experience with migration strategies and tools such as AWS MGN, Database Migration Services, Azure Migrate. Experience in scripting languages such as Python, Bash, Ruby, Groovy, Java, JavaScript 2. Automation (Mandatory): Hands-on experience with Infrastructure as Code automation (IaC) and Configuration Management tools such as: Terraform, CloudFormation, Azure ARM, Bicep, Ansible, Chef, or Puppet 3. CI/CD (Mandatory): Hands-on experience in setting up or developing CI/CD pipelines using any of the tools such as (Not Limited To): GitHub Actions, GitLab CI, Azure DevOps, Jenkins, AWS CodePipeline 4. Containers & Orchestration (Good to have): Hands-on experience in provisioning and managing containers and orchestration solutions such as: Docker & Docker Swarm Kubernetes (Private\Public Cloud platforms) OpenShift Helm Charts

Mandatory skills: Hands-on experience with web development in any of the following programming languages: Java, .Net, Python, Go, C#, JavaScript Hands-on experience in any of the following JavaScript framework: Angular, React, Vue.js with NodeJS Experience with back-end development, basic microservices implementation and containerization using Docker Expertise in Relational databases such as Postgres, MySQL, Oracle, etc. Expertise in NoSQL DB such as MongoDB, Amazon DynamoDB, Cassandra, etc. Good Knowledge with any of the cloud providers such as Amazon Web Services, Microsoft Azure or Google Cloud. Excellent verbal and written communication skills. Role Description: Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle. Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions. Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. Prepares and installs solutions by determining and designing system specifications, standards, and programming. Improves operations by conducting systems analysis, recommending changes in policies and procedures. Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations. Protects operations by keeping information confidential. Provides information by collecting, analyzing, and summarizing development and service issues. Accomplishes engineering and organization mission by completing related results as needed. Supports and develops software engineers by providing advice, coaching, and educational opportunities.

Job Summary : We are looking for a Senior Engineer to join our data team and drive the development of reliable, scalable, and high-performance data systems. This role requires a strong foundation in cloud platforms, data engineering best practices, and data warehousing. The ideal candidate has hands-on experience in building robust ETL/ELT pipelines and designing data models to support business analytics and reporting needs. Key Responsibilities: Design, develop, and maintain scalable ETL/ELT data pipelines for batch and real-time data processing. Build and optimise cloud-native data platforms and data warehouses (e.g., Snowflake, Redshift, BigQuery). Design and implement data models, including normalised and dimensional models (star/snowflake schema). Collaborate with cross-functional teams to gather requirements and deliver reliable data solutions. Ensure data quality, consistency, governance, and security across data platforms. Optimise and tune SQL queries and data workflows for performance and cost efficiency. Lead or mentor junior data engineers and contribute to team-level planning and design. Must-Have Qualifications: Cloud Expertise: Strong experience with at least one cloud platform (AWS, Azure, or GCP). Programming: Proficiency in Python, SQL, and shell scripting. Data Warehousing & Modeling: Deep understanding of warehousing concepts and best practices. ETL/ELT Pipelines: Proven experience with building pipelines using orchestration tools like Airflow or DBT. Experience with CI/CD tools and version control (Git). Familiarity with distributed data processing and performance optimisation. Good-to-Have Skills: Hands-on experience with UI-based ETL tools like Talend , Informatica , or Azure Data Factory . Exposure to visualisation and BI tools such as Power BI , Tableau , or Looker . Knowledge of data governance frameworks and metadata management tools (e.g., Collibra, Alation). Experience in leading data engineering teams or mentoring team members . Understanding of data security , access control , and compliance standards (e.g., GDPR, HIPAA).

Requirement: Automation: (Mandatory): Expertise in test automation using Selenium with Java/C#, integrated with TestNG and Cucumber for BDD-style frameworks. API automation using tools such as Postman, Rest Assured (Java), Karate, or RestSharp (C#) for validating RESTful services and integrating them within end-to-end test suites. Proficient in Web UI, API, and Mobile automation using tools like Playwright or Cypress, and Appium , with strong experience in writing modular and reusable test components. Strong programming skills in Java, C# or Python Integration of test automation with cloud-based execution platforms such as Browser Stack or Lambda Test for cross-browser and cross-platform compatibility testing. Skilled in Database and ETL testing , ensuring data accuracy, integrity, and validation across source, transformation, and target systems. Note: *Not limited to the above-mentioned tools. Performance Testing: (Mandatory): Strong experience in Performance Testing using JMeter or K6 , including test planning, script design, and analysis of system behaviour under load. CI-CD: (Good to have): Experience building and managing CI/CD pipelines using tools like Jenkins, GitHub Actions,etc., and integrating automated tests with deployments on AWS, Azure, or GCP . Docker: (Good to have): Skilled in containerizing automation frameworks using Docker to enable isolated, scalable, and repeatable tests. Generative AI: (Good to have): Good Understanding on Gen AI-based application testing , including prompt evaluation, LLM Metrics, LLM response validation , grounding checks, and ensuring alignment with context and user intent. Certification Expectations : (Optional): AWS Certified Cloud Practitioner AWS Certified Solution Architect Associate AWS Certified AI Practitioner Microsoft Certified: Azure Fundamentals Microsoft Certified: Azure AI Fundamentals Responsibilities: Be a thought leader and advisor on the Technology for QA practice to take the team to the next level from the current state to the next level Represent QA Practice with Sales, Pre-sales, and other customer discussions as needed to gain the trust and put together the QA strategy and win business. Always curious and out of the box thinking in designing and architecting solutions Define and implement advanced test strategies, automation frameworks, and QA best practices to ensure comprehensive coverage of both functional and non-functional requirements. Lead QA teams to deliver high-quality releases aligned with business goals and technical standards. Drive automation and performance testing initiatives for scalable, enterprise-grade applications. Evaluate and integrate emerging testing tools, frameworks, and AI/ML capabilities; drive POCs and adoption strategies. Collaborate with Delivery Managers, Lead Engineers, Product Owners, and other stakeholders to define clear QA scope and acceptance criteria. Conduct reviews of test automation code to maintain high standards and enforce quality practices. Implementing Effective test strategies for Generative AI-based application and evaluating LLM response. Stay current with industry trends, emerging technologies, and AI innovations; develop initiatives to up-skill the QA team and modernize testing approaches. Address and resolve team escalations by aligning with delivery managers and other stakeholders. Provide ongoing technical support, mentorship, guidance, and clarification to QA and development teams.

Technical and Professional Expertise: The suitable candidate will have at least 4 years' experience as a network security engineer Experience in Cisco security along with any other firewall vendors experience would be a distinct advantage Minimum of Cisco CCNP Certified Enterprise or Security or equivalent Minimum of PCNSA PCNSE preferable Experience in Juniper would be beneficial Client-facing experience English written and verbal skills; excellent phone manner Firm grasp of how routing protocols and switching in Cisco products work It is a requirement of the position that certifications and specializations achieved are kept current during your employment Experience in web security and email security would be an advantage Responsibilities: Resolving customer issues or escalating to L3 engineer as required Providing support to our clients on Cisco, Palo Alto & Juniper firewalls Supporting Cisco security products Experience of any of the following products would be advantageous; ISE, AnyConnect, Amp, Umbrella & Stealth watch, WSA, ESA & Duo To work closely with the Professional Services team You may be expected to become part of the on-call Due to the nature of the work, the successful candidate will be required to work out of hours at times

Requirement: 1. Cloud: (Mandatory): Proven technical experience with AWS or Azure, scripting, Migration and automation Hands-on knowledge of services and implementation such as Landing Zone, Centralized Networking (AWS Transit Gateway / Azure Virtual WAN), Serverless (AWS Lambda / Azure Functions), EC2 / Virtual Machines, S3 / Blob Storage, VPC / Virtual Network, IAM, SCP/Azure Policies, Monitoring (CloudWatch / Azure Monitor), SecOps, FinOps, etc. Experience with migration strategies and tools such as AWS MGN, Database Migration Services, Azure Migrate. Experience in scripting languages such as Python, Bash, Ruby, Groovy, Java, JavaScript 2. Automation (Mandatory): Hands-on experience with Infrastructure as Code automation (IaC) and Configuration Management tools such as: Terraform, CloudFormation, Azure ARM, Bicep, Ansible, Chef, or Puppet 3. CI/CD (Mandatory): Hands-on experience in setting up or developing CI/CD pipelines using any of the tools such as (Not Limited To): GitHub Actions, GitLab CI, Azure DevOps, Jenkins, AWS CodePipeline 4. Containers & Orchestration (Good to have): Hands-on experience in provisioning and managing containers and orchestration solutions such as:• Docker & Docker Swarm Kubernetes (Private\Public Cloud platforms) OpenShift Helm Charts Certification Expectations 1. Cloud: Certification (Mandatory, any of): AWS Certified SysOps Administrator Associate AWS Certified Solutions Architect Associate AWS Certified Developer Associate Any AWS Professional/Specialty certification(s) 2. Automation: (Optional, any of): RedHat Certified Specialist in Ansible Automation HashiCorp Terraform Certified Associate 3. CI-CD: (Optional) GitLab Certified CI/CD Associate GitHub Actions Certification 4. Containers & Orchestration (Optional, any of): CKA (Certified Kubernetes Administrator) RedHat Certified Specialist in OpenShift Administration Responsibilities: Lead architecture and design discussions with architects and clients. Understanding of technology best practices and AWS frameworks such as Well- Architected Framework” Implementing solutions with an emphasis on Cloud Security, Cost Optimization, and automation Manage customer engagement and Lead teams to deliver high-quality solutions on time Identify work opportunities and collaborate with leadership to grow accounts Own project delivery to ensure successful outcomes and positive customer experiences. Ability to initiate proactive meetings with Leads and extended teams to highlight any gaps/delays or other challenges. Subject Matter Expert in technology. Ability to train\mentor the team in functional and technical skills. Ability to decide and provide adequate help on the career progression of people. Support to the application team – Work with application development teams to design, implement and where necessary, automate infrastructure on cloud platforms Continuous improvement - Certain engagements will require you to support and maintain existing cloud environments with an emphasis on continuously innovating through automation and enhancing stability/availability through monitoring and improving the security posture Drive internal practice development initiatives to promote growth and innovation within the team. Contribute to internal assets such as technical documentation, blogs, and reusable code components.

Job Description: We are looking for a highly skilled and motivated Lead Engineer Virtualization to spearhead the design, deployment, and configuration of VMware Cloud Foundation (VCF) environments. This role is pivotal in delivering modern datacenter and hybrid cloud solutions built on VCF as the core platform. Candidates must have deep hands-on experience with VCF lifecycle management, NSX, vSAN, vSphere, SDDC Manager, and Aria Suite components. Experience with AVS, VMConAWS, and Nutanix is considered a plus for multi-cloud and edge use cases. Key Responsibilities: Lead full-stack VCF deployments from planning to execution, including management domain and workload domain design, SDDC Manager configuration, and Bring-Up process. Configure and integrate vSphere, NSX-T, vSAN , and Aria Suite (Aria Operations, Aria Automation, Aria Logs) components in VCF environments. Collaborate with architects on VCF design blueprints , capacity planning, and implementation plans tailored to customer use cases. Drive post-deployment configurations like NSX security policies, AVNs, vSAN policies, alerting, logging, and automation integration. Provide in-depth troubleshooting of VCF-specific issues across compute, network, and storage layers. Automate VCF Day-2 operations using Ansible, Terraform , and REST APIs. Assist with upgrades and lifecycle management via SDDC Manager and associated tools. Support hybrid cloud integration of VCF with AVS, VMConAWS , or public cloud infrastructure (AWS, Azure). Deliver technical documentation including VCF deployment runbooks, Day-2 operations guides, and design documents . Mentor junior engineers specifically on VCF architecture and configurations , helping them grow into VCF engineers. Maintain strong customer communication during all project phases and ensure high satisfaction levels. Qualifications: Bachelor’s degree in computer science, IT, or a related field (or equivalent experience). 7–10 years of experience in virtualization and cloud infrastructure. Minimum 3+ years of hands-on experience deploying and managing VCF in production environments. Deep technical knowledge of SDDC Manager, NSX-T, vSAN, vSphere 7/8 , and Aria components . Experience in Day-0 to Day-2 VCF lifecycle activities including patching, upgrade, certificate replacement, and integrations. Knowledge of Terraform, Ansible , and scripting (PowerCLI, Bash, Python) for infrastructure automation. Exposure to Azure VMware Solution (AVS), VMware Cloud on AWS (VMConAWS) , or Nutanix is beneficial. VMware certifications such as VCP-VCF Administrator, VCP-DCV/NV/CMA or equivalent. Preferred Skills: Experience with multi-site VCF deployments and advanced technologies like NSX Federation. Working knowledge of public cloud services (AWS/Azure) and the ability to implement hybrid cloud solutions. Familiarity with CI/CD pipelines and integrating VMware environments into DevOps workflows. Proficiency in scripting languages (e.g., PowerShell, Python, Bash) to automate routine tasks and optimize infrastructure management. Soft Skills and Communication: Strong leadership and mentoring skills to guide junior engineers on VCF technologies. Effective communicator who can translate complex architectures into simple language for customers and stakeholders. Excellent problem-solving and analytical skills under pressure. Strong attention to detail in architecture, implementation, and documentation. Ability to collaborate with cross-functional teams in global delivery environments.