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About the Role

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.

Responsibilities

Lead the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for clients.
Perform workload migration from on-premise datacenter environments to AWS.
Leverage full potential of cloud capabilities for clients.

Requirements

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).
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.
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.
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.
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 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.

Skills

AWS
Cloud Migration
VMware
EC2
S3
Auto-scaling
Landing Zone
Control Tower
AWS Migration Evaluator
Portfolio Assessment tools
Service-oriented architecture
Cloud-based web services architecture
Windows OS
Linux OS
SNS
SQS
Hybrid cloud networks
VPN
AWS Direct Connect
Application Load Balancers (ALB)
Python
Bash
Infrastructure as Code (IaC)
AWS CloudFormation
Terraform
CDK
CI/CD pipelines
Git
Jenkins
SonarQube
Artifactory
Docker containers
AWS security best practices
IAM roles and policies
Core Java
Scala
Ansible
Chef
Puppet
AWS SSM
vSphere
vCenter
ESX
NSX
vMotion
VM Export/Import
Amazon CloudWatch
Database query optimization
Application performance optimization
AWS Certified Solutions Architect
AWS Certified DevOps Engineer
SQL
NoSQL
PostgreSQL
MongoDB
Redis
Kubernetes
AWS EKS
Agile
DevOps

Location

Remote (UK)

Work Type

Full Time
Remote

Experience Level

7+ years

Benefits

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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

About the Company

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.
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms.
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.