While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

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.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

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. #SolvingWhatMatters

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:

• 21 Google Cloud Partner of the Year awards in the past 10 years
• 3 AWS AI/ML Partner of the Year awards
• 3 NVIDIA Partner of the Year awards
• 3 Snowflake Partner of the Year awards
• Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

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.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Role: Migration Specialist (AWS)

Experience Level: 7+ years

Employment type: Full Time

Location: Remote (UK)

What you will do:

As a Migration Specialist (AWS) 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.

Basic Qualifications (BQs):

Cloud Migration Expertise:

• Understanding of different Migration approaches (Rs) with recent experience.
• 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., SNS, SQS).

Networking Skills:

• Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect.
• Experience with configuring Application Load Balancers (ALB) for effective traffic management.

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.
• Strong understanding of IaC practices using tools like Terraform, CDK, and CloudFormation Templates.
• Experience in automating development and testing processes through CI/CD pipelines using tools like Git, Jenkins, SonarQube, Artifactory, and Docker containers.

Security and Compliance:

• 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.

Other Qualifications (OQs):

• Familiarity on-prem VMware ecosystem such as vSphere, vCenter, ESX, NSX.
• 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.
• Relevant certifications (e.g., 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.
• Familiarity with systems management and automation tools like Puppet, Chef, and Ansible.
• Experience working in an Agile and DevOps environment.

What is in it for you:

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
• Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
• Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
• Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.