Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
~3 AWS AI/ML Partner of the Year awards
~Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.
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Role: Senior Cloud Migration Engineer
Full Time
Location: Remote (UK)
As a Senior Cloud Migration Engineer at Quantiphi, you will be instrumental in our Platform Engineering team, leading the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for our clients. This role requires experience in workload migration from on-premise datacenter environments to AWS, enabling clients to leverage the full potential of cloud capabilities.
Experience with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures.
Previous work experience with tools like Cloud Endure, Double-Take, AWS Migration Hub, AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), and AWS Database Migration Service (DMS). Good to have understanding of Database servers.
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.
Well-versed in service-oriented architecture and cloud-based web services architecture, design patterns, and frameworks.
Good understanding of Windows or Linux OS. Experience with troubleshooting Linux/Windows OS issues while migrating. Good to have handled Database server migrations also.
Strong knowledge of cloud-related services such as compute, storage, network, and messaging (e.g., Networking Skills:
Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect.
Automation and Deployment:
Proficient in scripting languages such as Python and Bash for automating migration tasks and processes.
Familiarity with Infrastructure as Code (IaC) tools, including AWS CloudFormation and Terraform.
Experience in automating development and testing processes through CI/CD pipelines using tools like Git, Jenkins, SonarQube, Artifactory, and Docker containers.
Strong understanding of AWS security best practices, including setting up IAM roles and policies for secure access.
Knowledge of compliance requirements relevant to data handling and migration processes.
Configuration Management / Scripting and Programming:
Hands-on experience with scripting and programming languages such as Bash, Python, Core Java, and Scala.
Previous work experience on Configuration management and using tools like Ansible, Chef, Puppet, AWS SSM, etc.
Familiarity with vMotion, VM Export/Import and integrating with AWS.
Skills in monitoring cloud infrastructure and application performance using tools like Amazon CloudWatch.
Experience in optimizing database queries and application performance following migration.
AWS Certified Solutions Architect, AWS Certified DevOps Engineer).
Experience with relational SQL, NoSQL databases (e.g., PostgreSQL, MongoDB, Redis).
Ability to build and manage container hosting platforms using Docker, Kubernetes, AWS EKS.
Experience working in an Agile and DevOps environment.
Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
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