CBSbutler Holdings Limited trading as CBSbutler
City, Manchester
Principal Cloud Platform Engineer - Contract Location: Hybrid (60% office / 40% remote) Rate: 580 - 618 per day - Inside IR35 Engagement: PAYE via Umbrella Company only Role Overview We are seeking an experienced Principal Cloud Platform Engineer to help shape the future of our cloud security and automation capabilities. You will play a key role in expanding our cloud product roadmap, automating remediation and escalation processes, and strengthening our security posture across enterprise platforms. Working closely with engineering, security, and DevOps teams, you will apply modern cloud-native and CI/CD practices to solve real-world business challenges across multiple technology domains. Key Responsibilities Drive cloud infrastructure enhancements aligned to strategic and budgetary objectives. Collaborate with engineering teams on the design, build, and delivery of scalable cloud services. Enable stakeholders to adopt modern cloud-native architectures and best practices. Ensure cloud platforms adhere to security, compliance, and software lifecycle standards. Automate operational workflows, incident remediation, and escalation processes. Essential Skills & Experience Proven experience in cloud engineering with professional certifications (AWS, Azure, or GCP preferred). Ability to translate High-Level Designs (HLD) and Low-Level Designs (LLD) into implementable solutions. Strong scripting skills in PowerShell, Bash, and Python or Java . Deep experience with CI/CD pipelines and Agile/Scrum methodologies. Knowledge of SIEM, cloud security controls, and cloud security tooling . Experience with incident, problem, and change management processes. Hands-on experience with Wiz (Wiz Cloud, Wiz Defend) . Strong containerisation expertise ( Docker, Kubernetes ). Experience with Windows and Red Hat Linux environments. Automation experience using Chef or similar configuration management tools . GCP-Focused Experience (Highly Desirable) Infrastructure automation using Deployment Manager or Terraform . IAM roles, Service Accounts, and Organization Policies. CI/CD tooling including Cloud Build, Artifact Registry, and Cloud Deploy . GCP Networking (VPC, firewall rules, load balancing). Observability and security tooling (Cloud Logging, Monitoring, Security Command Center). Experience with GKE and container orchestration . Desirable Qualifications Experience within financial services or other regulated environments. Bachelor's degree (or higher) in a relevant technical discipline. CISSP or equivalent security certification.
Principal Cloud Platform Engineer - Contract Location: Hybrid (60% office / 40% remote) Rate: 580 - 618 per day - Inside IR35 Engagement: PAYE via Umbrella Company only Role Overview We are seeking an experienced Principal Cloud Platform Engineer to help shape the future of our cloud security and automation capabilities. You will play a key role in expanding our cloud product roadmap, automating remediation and escalation processes, and strengthening our security posture across enterprise platforms. Working closely with engineering, security, and DevOps teams, you will apply modern cloud-native and CI/CD practices to solve real-world business challenges across multiple technology domains. Key Responsibilities Drive cloud infrastructure enhancements aligned to strategic and budgetary objectives. Collaborate with engineering teams on the design, build, and delivery of scalable cloud services. Enable stakeholders to adopt modern cloud-native architectures and best practices. Ensure cloud platforms adhere to security, compliance, and software lifecycle standards. Automate operational workflows, incident remediation, and escalation processes. Essential Skills & Experience Proven experience in cloud engineering with professional certifications (AWS, Azure, or GCP preferred). Ability to translate High-Level Designs (HLD) and Low-Level Designs (LLD) into implementable solutions. Strong scripting skills in PowerShell, Bash, and Python or Java . Deep experience with CI/CD pipelines and Agile/Scrum methodologies. Knowledge of SIEM, cloud security controls, and cloud security tooling . Experience with incident, problem, and change management processes. Hands-on experience with Wiz (Wiz Cloud, Wiz Defend) . Strong containerisation expertise ( Docker, Kubernetes ). Experience with Windows and Red Hat Linux environments. Automation experience using Chef or similar configuration management tools . GCP-Focused Experience (Highly Desirable) Infrastructure automation using Deployment Manager or Terraform . IAM roles, Service Accounts, and Organization Policies. CI/CD tooling including Cloud Build, Artifact Registry, and Cloud Deploy . GCP Networking (VPC, firewall rules, load balancing). Observability and security tooling (Cloud Logging, Monitoring, Security Command Center). Experience with GKE and container orchestration . Desirable Qualifications Experience within financial services or other regulated environments. Bachelor's degree (or higher) in a relevant technical discipline. CISSP or equivalent security certification.
Logiq Consulting Ltd
Bristol, Gloucestershire
Logiq is a fast-growing technology Company, providing cutting-edge solutions to high-risk clients across Private and Public Sector. Due to rapid growth in our Security Capability, we are looking for experienced AI Architects to join our team. Location: Hybrid Salary: Negotiable, plus car allowance, plus up to 10% performance bonus , plus excellent benefits package. Travel Required: Travel expected to client or Logiq's offices in Bristol, Chippenham or Exeter Category: Architecture Clearance: UK - SC Role Status: Open / Accepting Applications As an AI Technical Architect, you'll design and deliver production grade AI enabled and cloud native systems across Azure, AWS, and hybrid environments. You'll operate as a hands on technical leader: turning ambiguous client needs into secure, scalable architectures, then building, deploying, and running what you design. This role suits someone who enjoys the full lifecycle: rapid prototyping, strong engineering fundamentals, infrastructure as code, and the operational discipline that comes with "you build it, you run it." You'll help set the technical patterns Logiq uses for AI delivery, platform engineering, observability, and secure by default cloud implementations, while leading small engineering teams and supporting clients through delivery and change. Expect variety: one week you may be shaping a reference architecture and delivery plan; the next you're implementing CI/CD, shipping a containerised service to AKS/EKS, hardening identity and network controls, and instrumenting logs/metrics/tracing so the system is supportable in the real world. Logiq's Architecture Practice brings together highly experienced technologists and IT professionals with a passion for delivering complex solutions that drive tangible uplifts in capability for clients and their users. We specialise in Enterprise and Solution Architecture, AI Systems Architecture, Systems Engineering, Service Management and DevOps, to build highly effective teams tailored to the problem space and requirements. As part of the Secure Systems Team, you'll have the opportunity to: Develop solutions for complex and unique operating environments Adapt leading edge technology solutions for novel and challenging use cases Build effective multi discipline teams capable of delivering to the highest assurance levels Key Reponsibilities Solution Design: Develop scalable, secure architectures for cloud and hybrid environments, translating business needs into actionable designs, incorporating security best practices from day one. Hands On Delivery: Prototype, integrate, and deploy solutions using Python, Terraform, GitHub/Gitlab, docker, Kubernetes and other modern cloud native tools. Technical Leadership: Lead technical delivery teams, mentor junior engineers, and ensure quality across design and implementation. System Hardening: Implement secure by design configurations across cloud and hybrid environments, applying hardened baselines, enforcing least privilege access, and ensuring environments are resilient against threats through proactive security controls, monitoring, and continuous optimisation. Client Engagement: Build trusted relationships, gather requirements, and present solutions that deliver measurable value. Continuous Improvement: Drive innovation through proof of concepts, experimentation, and adoption of best practices. Winning Work & Market Presence: Partner with other members of the Architecture Practice to win new engagements, leading technical bid responses, solutioning, and client facing workshops, while building Logiq's AI capability through IP development, case studies, and internal enablement. You will collaborate with multi disciplinary teams, adapting to various roles within client projects. This is an excellent opportunity to broaden your expertise or specialise further, with Logiq's support for your professional growth. Employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history at the point of application. Travel to client sites and Logiq offices will be required. What We're Looking For Proven experience in solution architecture and hands on delivery across cloud environments. Strong consulting and communication skills - comfortable engaging with clients and influencing decisions. Shipped production systems on Azure, AWS or GCP with operational ownership (you build it, you run it). IaC expertise (Terraform preferred) + CI/CD (GitHub Actions/GitLab CI) + container platforms (AKS/EKS). Understanding of security principles for cloud and enterprise systems, including the ability to design solutions with identity, logging and alerting, access control and data protection in mind. A passion for learning and experimenting with emerging technologies and sharing this knowledge with others. Experience with data engineering and pipelines, including ETL processes and working with both traditional relational databases and modern vector databases. An understanding of Site Reliability Engineering best practices and Platforms / DevOps best practices. Exposure to AI concepts such as LLMs, RAG, and agent based systems (or a strong desire to learn). Experience previously working with central government and an understanding of government ways of working Knowledge of Site Reliability Engineering best practices and Platforms / DevOps best practices. Why Join Logiq Work on impactful projects that drive efficiency and innovation across diverse sectors. Access professional development pathways tailored to your career ambitions. Enjoy flexible working arrangements and a competitive benefits package. What the Team Say At Logiq, I love being part of a team that thrives on exciting, fast paced projects in complex environments. We focus on delivering real value rather than getting bogged down by unnecessary processes. The collaborative culture encourages initiative and empowers me to make impactful decisions, with support always available when I need it. I also feel supported in my project work and career development, with plenty of opportunities to enhance my skills and take on new challenges. Logiq's investment in its people ensures I have both the tools and encouragement to achieve my goals. As someone with a challenging home life, including children with additional needs, the hybrid working model has been invaluable. Logiq treats me as a professional, trusting me to manage my work, projects, and outputs while balancing my family commitments. The flexibility to adapt my schedule for school runs and care needs, combined with a supportive team and rewarding work, makes this a truly unique place to grow and succeed. Other Information Logiq is committed to investing in people, offering clear progression pathway into our consultancy service, and we will passionately support professional growth to develop our employees. Flexible working is available including part time / term time working patterns. All suggestions are welcomed to be discussed as part of a proposed employment package. Logiq is dedicated to fostering an inclusive workplace. Our commitment is to ensure equal opportunities for all in both employment and career advancement. We base our decisions on individual merit, qualifications and suitability for the role, without regard to gender, age, marital or civil partnership status, sexual orientation, ethnicity, disability, race, religion or national background. Bonus payments are discretionary and awarded upon successful completion of probation.
Logiq is a fast-growing technology Company, providing cutting-edge solutions to high-risk clients across Private and Public Sector. Due to rapid growth in our Security Capability, we are looking for experienced AI Architects to join our team. Location: Hybrid Salary: Negotiable, plus car allowance, plus up to 10% performance bonus , plus excellent benefits package. Travel Required: Travel expected to client or Logiq's offices in Bristol, Chippenham or Exeter Category: Architecture Clearance: UK - SC Role Status: Open / Accepting Applications As an AI Technical Architect, you'll design and deliver production grade AI enabled and cloud native systems across Azure, AWS, and hybrid environments. You'll operate as a hands on technical leader: turning ambiguous client needs into secure, scalable architectures, then building, deploying, and running what you design. This role suits someone who enjoys the full lifecycle: rapid prototyping, strong engineering fundamentals, infrastructure as code, and the operational discipline that comes with "you build it, you run it." You'll help set the technical patterns Logiq uses for AI delivery, platform engineering, observability, and secure by default cloud implementations, while leading small engineering teams and supporting clients through delivery and change. Expect variety: one week you may be shaping a reference architecture and delivery plan; the next you're implementing CI/CD, shipping a containerised service to AKS/EKS, hardening identity and network controls, and instrumenting logs/metrics/tracing so the system is supportable in the real world. Logiq's Architecture Practice brings together highly experienced technologists and IT professionals with a passion for delivering complex solutions that drive tangible uplifts in capability for clients and their users. We specialise in Enterprise and Solution Architecture, AI Systems Architecture, Systems Engineering, Service Management and DevOps, to build highly effective teams tailored to the problem space and requirements. As part of the Secure Systems Team, you'll have the opportunity to: Develop solutions for complex and unique operating environments Adapt leading edge technology solutions for novel and challenging use cases Build effective multi discipline teams capable of delivering to the highest assurance levels Key Reponsibilities Solution Design: Develop scalable, secure architectures for cloud and hybrid environments, translating business needs into actionable designs, incorporating security best practices from day one. Hands On Delivery: Prototype, integrate, and deploy solutions using Python, Terraform, GitHub/Gitlab, docker, Kubernetes and other modern cloud native tools. Technical Leadership: Lead technical delivery teams, mentor junior engineers, and ensure quality across design and implementation. System Hardening: Implement secure by design configurations across cloud and hybrid environments, applying hardened baselines, enforcing least privilege access, and ensuring environments are resilient against threats through proactive security controls, monitoring, and continuous optimisation. Client Engagement: Build trusted relationships, gather requirements, and present solutions that deliver measurable value. Continuous Improvement: Drive innovation through proof of concepts, experimentation, and adoption of best practices. Winning Work & Market Presence: Partner with other members of the Architecture Practice to win new engagements, leading technical bid responses, solutioning, and client facing workshops, while building Logiq's AI capability through IP development, case studies, and internal enablement. You will collaborate with multi disciplinary teams, adapting to various roles within client projects. This is an excellent opportunity to broaden your expertise or specialise further, with Logiq's support for your professional growth. Employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history at the point of application. Travel to client sites and Logiq offices will be required. What We're Looking For Proven experience in solution architecture and hands on delivery across cloud environments. Strong consulting and communication skills - comfortable engaging with clients and influencing decisions. Shipped production systems on Azure, AWS or GCP with operational ownership (you build it, you run it). IaC expertise (Terraform preferred) + CI/CD (GitHub Actions/GitLab CI) + container platforms (AKS/EKS). Understanding of security principles for cloud and enterprise systems, including the ability to design solutions with identity, logging and alerting, access control and data protection in mind. A passion for learning and experimenting with emerging technologies and sharing this knowledge with others. Experience with data engineering and pipelines, including ETL processes and working with both traditional relational databases and modern vector databases. An understanding of Site Reliability Engineering best practices and Platforms / DevOps best practices. Exposure to AI concepts such as LLMs, RAG, and agent based systems (or a strong desire to learn). Experience previously working with central government and an understanding of government ways of working Knowledge of Site Reliability Engineering best practices and Platforms / DevOps best practices. Why Join Logiq Work on impactful projects that drive efficiency and innovation across diverse sectors. Access professional development pathways tailored to your career ambitions. Enjoy flexible working arrangements and a competitive benefits package. What the Team Say At Logiq, I love being part of a team that thrives on exciting, fast paced projects in complex environments. We focus on delivering real value rather than getting bogged down by unnecessary processes. The collaborative culture encourages initiative and empowers me to make impactful decisions, with support always available when I need it. I also feel supported in my project work and career development, with plenty of opportunities to enhance my skills and take on new challenges. Logiq's investment in its people ensures I have both the tools and encouragement to achieve my goals. As someone with a challenging home life, including children with additional needs, the hybrid working model has been invaluable. Logiq treats me as a professional, trusting me to manage my work, projects, and outputs while balancing my family commitments. The flexibility to adapt my schedule for school runs and care needs, combined with a supportive team and rewarding work, makes this a truly unique place to grow and succeed. Other Information Logiq is committed to investing in people, offering clear progression pathway into our consultancy service, and we will passionately support professional growth to develop our employees. Flexible working is available including part time / term time working patterns. All suggestions are welcomed to be discussed as part of a proposed employment package. Logiq is dedicated to fostering an inclusive workplace. Our commitment is to ensure equal opportunities for all in both employment and career advancement. We base our decisions on individual merit, qualifications and suitability for the role, without regard to gender, age, marital or civil partnership status, sexual orientation, ethnicity, disability, race, religion or national background. Bonus payments are discretionary and awarded upon successful completion of probation.
Genpact
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Principal Consultant - Azure AI Engineer / Lead (ITO098519) Principal Consultant - Azure AI Engineer / Lead - ITO098519 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Role Inviting Applications for the role of Principal Consultant - Azure AI Engineer / Lead Responsibilities Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). Model Deployment & Management: Implement robust MLOps practices for CI/CD, monitoring, and retraining of machine learning models in Azure. Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference. Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability. Collaboration: Work with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems. Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure. Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem. Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines. Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends. Qualifications Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, Data Science, or a related quantitative field. Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure. Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring. Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. Solid understanding of software engineering principles, including version control (Git), testing, and code review. Experience with containerization technologies (Docker, Kubernetes). Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills. Preferred Qualifications/ Skills Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service. Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics). Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). Understanding of distributed computing concepts and big data technologies. Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Principal Consultant - Azure AI Engineer / Lead (ITO098519) Principal Consultant - Azure AI Engineer / Lead - ITO098519 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Role Inviting Applications for the role of Principal Consultant - Azure AI Engineer / Lead Responsibilities Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). Model Deployment & Management: Implement robust MLOps practices for CI/CD, monitoring, and retraining of machine learning models in Azure. Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference. Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability. Collaboration: Work with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems. Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure. Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem. Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines. Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends. Qualifications Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, Data Science, or a related quantitative field. Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure. Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring. Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. Solid understanding of software engineering principles, including version control (Git), testing, and code review. Experience with containerization technologies (Docker, Kubernetes). Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills. Preferred Qualifications/ Skills Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service. Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics). Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). Understanding of distributed computing concepts and big data technologies. Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
