Q

Quantiphi

AI-driven digital transformation and automation services

Technical Architect - VMware

Cloud EngineeringPosted on Nov 12
Full-timeRemote in UKNo salary listed

About the Job

Requirements

  • Proficiency in architecting, deploying, and maintaining AWS cloud-based infrastructure services, including VPC, IAM, S3, Lambda, EC2, SQS, SSM, ASG, CloudWatch, CloudTrail, Boto3, Python, EKS, shell scripting, automation, SNS, KMS, ECR, and RDS.
  • Good understanding of medium-to-large enterprise architectures and multi-account AWS setups.
  • Understanding of different migration approaches (Rs) and recent experience with them.
  • Experience migrating on-premises VMware or other platform-based virtual machines to AWS EC2 using lift-and-shift (rehost) approaches.
  • Previous work experience with CloudEndure, Double-Take, AWS Migration Hub, AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), and AWS Database Migration Service (DMS); understanding of database servers is beneficial.
  • Expertise in AWS services, including EC2, S3, auto-scaling, Landing Zone, and Control Tower.
  • Proficiency in using AWS Migration Evaluator and Portfolio Assessment tools to analyze migration strategies.
  • Knowledge of service-oriented architecture, cloud-based web services architecture, design patterns, and frameworks.
  • Good understanding of Windows or Linux operating systems, including troubleshooting operating-system issues during migration; experience with database server migrations is beneficial.
  • Strong knowledge of cloud services for compute, storage, networking, and messaging, such as SNS and SQS.
  • Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect.
  • Experience configuring Application Load Balancers (ALB) for traffic management.
  • Proficiency in Python and Bash scripting for automating migration tasks and processes.
  • Familiarity with infrastructure-as-code tools, including AWS CloudFormation and Terraform, and understanding of IaC practices using Terraform, CDK, and CloudFormation templates.
  • Experience automating development and testing processes through CI/CD pipelines using Git, Jenkins, SonarQube, Artifactory, and Docker containers.
  • Strong understanding of AWS security best practices, including IAM roles and policies for secure access.
  • Knowledge of compliance requirements relevant to data handling and migration processes.
  • Hands-on experience with Bash, Python, Core Java, and Scala.
  • Previous work experience in configuration management using Ansible, Chef, Puppet, and AWS SSM.

Responsibilities

  • Lead delivery of advanced solutions in application development, platform engineering, data engineering, analytics, and machine learning for clients.
  • Support clients migrating workloads from on-premises data center environments to AWS.

Desired Qualifications

  • Familiarity with the on-premises VMware ecosystem, including vSphere, vCenter, ESX, and NSX.
  • Familiarity with vMotion, VM export/import, and integration with AWS.
  • Skills in monitoring cloud infrastructure and application performance using Amazon CloudWatch.
  • Experience optimizing database queries and application performance following migration.
  • Relevant certifications, such as AWS Certified Solutions Architect or AWS Certified DevOps Engineer.
  • Experience with relational SQL and NoSQL databases, such as PostgreSQL, MongoDB, and Redis.
  • Ability to build and manage container-hosting platforms using Docker, Kubernetes, and AWS EKS.
  • Familiarity with systems management and automation tools such as Puppet, Chef, and Ansible.
  • Experience working in an Agile and DevOps environment.

About the Company

Quantiphi

AI-driven digital transformation and automation services

Quantiphi uses AI and digital engineering to help organizations transform by making products and operations smarter and safer. It partners with clients to understand their challenges and then designs and builds customized AI and automation systems—combining machine learning, data analytics, and software engineering—delivering them under long-term contracts with ongoing support, and collaborating with Google Cloud to integrate technologies. Compared with competitors, it provides end-to-end, tailored solutions across industries rather than one-off projects, backed by long-term relationships and strong technology partnerships to scale. Its goal is to embed AI into products and processes to improve customer experiences and overall efficiency.

Company size
1,001-5,000
Company stage
Series A
Total funding
$23.4M
Headquarters
Marlborough, MA
Founded
2013

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