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About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Ground Segment DevOps Engineer Contract, remote Outside IR35 The Core Challenge You will be the architect of our client's CI/CD toolchain and container-based environments. This isn't a standard cloud-ops role; you are building the Mission Support System (MSS)—the infrastructure that ensures space flight software and ground services are deployed seamlessly and monitored with zero margin for error. Key Responsibilities: • Infrastructure Orchestration: Manage and evolve our container-based stack (Docker, amongst other lesser-known tech - upskilling time available for the other stack) to support mission-critical Ground Segment services., • Pipeline Ownership: Expand our client's CI/CD workflows to automate the build, test, and deployment of live operational products., • Mission Support: Design and implement centralized logging, monitoring (Grafana), and system lifecycle orchestration for active missions - terraform also a nice to have., • Deployment Strategy: Define versioning and rollback protocols that ensure continuous availability during high-stakes orbital phases. Your Heritage • Container Expertise: Proven track record with Docker-based environments and registry management., • DevOps Mastery: Hands-on experience building robust pipelines (GitLab CI, GitHub Actions, or Jenkins)., • Linux Fundamentals: Deep understanding of Linux environments, shell scripting, and systems automation., • Mission Awareness (Bonus): Familiarity with satellite ground systems or SQL/NoSQL database administration is highly desirable. Please apply directly with your CV and up to date contact details in order for us to have a detailed discussion around the opportunity.

Job Title: Cloud/Devops Engineer Location: UK Experience: 2–5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. DevOps Core Skills and Requirements 1. Basic Linux Knowledge • Comfortable working in a Linux terminal (CLI) environment., • Able to perform basic file operations (create, copy, move, delete files/folders)., • Understand and manage file and directory permissions, ownership, and basic user management., • Use of common Linux utilities like grep, top, df, ps, and chmod. 2. Basic Networking Fundamentals • Understanding of IP addressing, subnetting, and what private/public IPs mean., • Knowledge of DNS (Domain Name System) and how name resolution works., • Familiarity with HTTP/HTTPS protocols, what ports are, and what firewalls do at a high level. 3. Scripting Basics • Ability to read and write basic shell scripts (Bash) to automate repetitive tasks., • Some hands-on experience or learning in Python for simple scripting or tool use. 4. Git Version Control • Comfortable using Git for source code management., • Understand how to clone repositories, commit changes, push and pull code, and create branches., • Familiar with GitHub 5. CI/CD Concepts • Basic understanding of what Continuous Integration (CI) and Continuous Deployment (CD) are., • Awareness of tools like Jenkins, GitHub Actions, or Azure DevOps, even if not deeply experienced., • Understand how code goes from development to production in an automated way. 6. Container Awareness • Have heard of Docker and understand the basic purpose of containers (e.g., "run applications in isolated environments")., • Understand the difference between containers and virtual machines at a high level., • Basic idea of what Docker images and containers are. 7. Cloud Computing Fundamentals • Awareness of cloud platforms like AWS and Azure, • Understand concepts like virtual machines, storage, and networking in the cloud., • Know why organizations use the cloud (scalability, flexibility, cost-efficiency). Nice to Have (Bonus Skills) These are not mandatory, but having some exposure will be a plus: • Infrastructure as Code (IaC): Basic idea of tools like Terraform – used to define cloud infrastructure using code., • Monitoring and Logging: Awareness of tools like Prometheus (for monitoring) and Grafana (for dashboards)., • Basic YAML knowledge: Since tools like Kubernetes and GitHub Actions use YAML, familiarity helps. Soft Skills • Willingness to learn new tools and concepts., • Good problem-solving attitude., • Ability to follow documentation and troubleshoot issues., • Comfortable working in a team and asking questions when stuck.

About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs. The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning, • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift, • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss, • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems, • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR, • Architect and implement scalable, secure, and highly available data platforms on AWS, • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable), • Optimize performance of source and target systems pre- and post-migration, • Manage and govern S3-based data lakes and metadata using Glue Data Catalog, • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization, • Implement monitoring, rollback, and failure recovery mechanisms, • Ensure adherence to security, governance, and compliance standards Required Skills: • 8+ years of experience in database migration and data engineering, • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • Experience designing and implementing data validation and reconciliation frameworks, • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent), • Deep proficiency in SQL and data modeling concepts, • Experience working with S3-based data lakes and Glue Data Catalog, • Strong understanding of CDC, transaction consistency, and migration cutover strategies, • Hands-on experience with performance tuning, schema design, and query optimization, • Proficiency in Python/PySpark and scripting (Shell/Python), • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent), • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks, • Familiarity with Data Mesh and cross-account data sharing architectures, • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.), • Knowledge of Infrastructure as Code (Terraform / CloudFormation), • AWS Certifications (Solutions Architect / Data Engineer), • Experience in mentoring teams and leading large-scale migration programs. What’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

A leading global technology company in Birmingham is seeking a Senior Unix Track Lead to oversee Unix shell scripting and Oracle PL/SQL projects. Candidates should have proficiency in Unix, experience in shell scripting, and a strong background in Oracle PL/SQL development.

C++ Software Engineer – Warehouse Management Systems We’re hiring a C++ Software Engineer to work on a large‑scale Warehouse Management / Control System used to run highly automated distribution centres across retail, logistics, and industrial environments. This is a systems‑level role focused on software that controls real‑world warehouse operations in real time, rather than web or UI-driven applications. What you’ll be working on Development of C++ software for WMS / WES / WCS platforms Real‑time control of automated warehouse environments Integration with conveyors, robotics, sortation, and storage systems Long‑term, production systems used in live operational sites Linux‑based environments with strong engineering standards Tech stack C / C++ Java (supporting) Linux / Unix Shell scripting Jira or similar tooling What we’re looking for Commercial experience with C++ Comfortable working on complex, integrated systems Exposure to warehouse systems, automation, industrial software, or similar environments is a strong advantage Location UK‑based role Occasional office presence in the Midlands / South Midlands, with a largely remote working model If you’re interested in C++ development that sits close to hardware and automation, I’d be happy to share more details