Role: Senior CCAI Engineer (12 month FTC) Reports to: Principal CCAI Engineer This is a remote opportunity. Role Purpose: The Contact Centre AI Engineer plays a pivotal role in delivering change across the Digital Customer Contact (DCC) product suite. This includes supporting the integration and evolution of the Google CCaaS platform, in-house systems, and cloud-native services. Seniors are expected to, where appropriate, provide technical leadership, and contribute to the development of mid & junior engineers. The role includes line management responsibilities. Key Accountabilities and Responsibilities: Lead and deliver SaaS initiatives, ensuring alignment with the DCC product roadmap. Support the Principal Engineer in executing the technical strategy for the DCC SaaS product. Develop and maintain full stack solutions using .NET, JavaScript, and Python. Contribute to the design and deployment of serverless functions on Google Cloud Platform (GCP). Assist in the development of Chrome extensions to enhance agent experience. Implement secure authentication using JWT and OAuth 2.0. Support CI/CD pipeline development and maintenance for Google Cloud technologies. Collaborate with cross-functional teams to ensure successful delivery of features and integrations. Manage and support API integrations using Apigee. Participate in testing automation and quality assurance processes. Provide mentorship and technical guidance to mid & junior engineers. Where applicable, take on management responsibilities, including performance reviews and development planning. Skills, Experience, and Knowledge: Proven experience in full stack development, particularly in .NET and cloud-native environments. Hands-on experience with GCP services including Contact Centre AI, GCP Functions, and Cloud Storage. Familiarity with Chrome extension development and secure authentication protocols. Experience with CI/CD pipelines and DevOps practices. Strong understanding of API management using Apigee. Proficiency in JavaScript and Python. Exposure to Azure infrastructure and networking is a plus. Demonstrated ability to lead delivery streams and mentor team members. Excellent problem-solving, communication, and collaboration skills. Customers and Key Stakeholders: Work closely with the Principal Engineer and Head of Digital Customer Contact to align technical delivery with strategic goals. Collaborate with Contact Centre Ops Managers, IT, and Data teams. Engage with external partners and stakeholders to ensure delivery meets expectations. What we offer in return? A collaborative and fast paced work environment Health care cash plan Yearly bonus scheme 24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) Life Assurance 4x annual salary Vibrant, modern offices About the business: Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1.2b. Markerstudy also has a large and growing direct presence in the market as well.
Mar 11, 2026
Full time
Role: Senior CCAI Engineer (12 month FTC) Reports to: Principal CCAI Engineer This is a remote opportunity. Role Purpose: The Contact Centre AI Engineer plays a pivotal role in delivering change across the Digital Customer Contact (DCC) product suite. This includes supporting the integration and evolution of the Google CCaaS platform, in-house systems, and cloud-native services. Seniors are expected to, where appropriate, provide technical leadership, and contribute to the development of mid & junior engineers. The role includes line management responsibilities. Key Accountabilities and Responsibilities: Lead and deliver SaaS initiatives, ensuring alignment with the DCC product roadmap. Support the Principal Engineer in executing the technical strategy for the DCC SaaS product. Develop and maintain full stack solutions using .NET, JavaScript, and Python. Contribute to the design and deployment of serverless functions on Google Cloud Platform (GCP). Assist in the development of Chrome extensions to enhance agent experience. Implement secure authentication using JWT and OAuth 2.0. Support CI/CD pipeline development and maintenance for Google Cloud technologies. Collaborate with cross-functional teams to ensure successful delivery of features and integrations. Manage and support API integrations using Apigee. Participate in testing automation and quality assurance processes. Provide mentorship and technical guidance to mid & junior engineers. Where applicable, take on management responsibilities, including performance reviews and development planning. Skills, Experience, and Knowledge: Proven experience in full stack development, particularly in .NET and cloud-native environments. Hands-on experience with GCP services including Contact Centre AI, GCP Functions, and Cloud Storage. Familiarity with Chrome extension development and secure authentication protocols. Experience with CI/CD pipelines and DevOps practices. Strong understanding of API management using Apigee. Proficiency in JavaScript and Python. Exposure to Azure infrastructure and networking is a plus. Demonstrated ability to lead delivery streams and mentor team members. Excellent problem-solving, communication, and collaboration skills. Customers and Key Stakeholders: Work closely with the Principal Engineer and Head of Digital Customer Contact to align technical delivery with strategic goals. Collaborate with Contact Centre Ops Managers, IT, and Data teams. Engage with external partners and stakeholders to ensure delivery meets expectations. What we offer in return? A collaborative and fast paced work environment Health care cash plan Yearly bonus scheme 24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) Life Assurance 4x annual salary Vibrant, modern offices About the business: Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1.2b. Markerstudy also has a large and growing direct presence in the market as well.
Role Overview We are seeking a skilled Cloud Platform Engineer / Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) to design, build, and operate secure, scalable, and automated cloud platform capabilities. The ideal candidate will have strong experience in Infrastructure as Code, Kubernetes, API management, and cloud networking , along with a strong DevOps and SRE mindset focused on reliability, automation, and observability . Key Responsibilities Cloud Platform Engineering Design, build, and maintain secure and automated cloud platform capabilities on Google Cloud Platform (GCP) . Support API Management platforms and integration services across the organization. Develop and maintain cloud infrastructure architectures aligned with platform engineering best practices . Infrastructure as Code & Automation Develop and manage Terraform-based Infrastructure as Code (IaC) solutions. Implement automation for provisioning, configuration, and lifecycle management of cloud resources . Maintain and enhance CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Harness . API Management & Integration Support and manage GCP API Management infrastructure (Apigee) . Implement API Gateway solutions and integration platform capabilities. Ensure secure API design using REST/OpenAPI standards, OAuth, mTLS, and certificate lifecycle management . Containers & Kubernetes Design and manage containerized workloads using Google Kubernetes Engine (GKE) . Implement container orchestration, scaling, and service mesh technologies such as Istio . Networking & Security Implement and manage GCP networking components , including: Load Balancers Cloud Armor Secure networking configurations Ensure security-by-design principles across the platform lifecycle. Observability & Reliability Implement SLO/SLI frameworks and observability solutions to ensure platform reliability. Configure monitoring tools such as Dynatrace or other observability platforms . Optimize system performance and reduce operational overhead through automation. Collaboration & Platform Enablement Work closely with architecture, DevOps, and development teams to evolve the cloud platform. Enable teams to deliver API-first services using reusable platform capabilities . Contribute to documentation, knowledge sharing, and platform best practices . Mentor team members and contribute to engineering standards and communities of practice .
Mar 10, 2026
Contractor
Role Overview We are seeking a skilled Cloud Platform Engineer / Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) to design, build, and operate secure, scalable, and automated cloud platform capabilities. The ideal candidate will have strong experience in Infrastructure as Code, Kubernetes, API management, and cloud networking , along with a strong DevOps and SRE mindset focused on reliability, automation, and observability . Key Responsibilities Cloud Platform Engineering Design, build, and maintain secure and automated cloud platform capabilities on Google Cloud Platform (GCP) . Support API Management platforms and integration services across the organization. Develop and maintain cloud infrastructure architectures aligned with platform engineering best practices . Infrastructure as Code & Automation Develop and manage Terraform-based Infrastructure as Code (IaC) solutions. Implement automation for provisioning, configuration, and lifecycle management of cloud resources . Maintain and enhance CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Harness . API Management & Integration Support and manage GCP API Management infrastructure (Apigee) . Implement API Gateway solutions and integration platform capabilities. Ensure secure API design using REST/OpenAPI standards, OAuth, mTLS, and certificate lifecycle management . Containers & Kubernetes Design and manage containerized workloads using Google Kubernetes Engine (GKE) . Implement container orchestration, scaling, and service mesh technologies such as Istio . Networking & Security Implement and manage GCP networking components , including: Load Balancers Cloud Armor Secure networking configurations Ensure security-by-design principles across the platform lifecycle. Observability & Reliability Implement SLO/SLI frameworks and observability solutions to ensure platform reliability. Configure monitoring tools such as Dynatrace or other observability platforms . Optimize system performance and reduce operational overhead through automation. Collaboration & Platform Enablement Work closely with architecture, DevOps, and development teams to evolve the cloud platform. Enable teams to deliver API-first services using reusable platform capabilities . Contribute to documentation, knowledge sharing, and platform best practices . Mentor team members and contribute to engineering standards and communities of practice .
Senior GCP Apigee Engineer Overview Our client is seeking a Senior GCP Apigee Engineer to join their Public Cloud Platform team. This role is key to delivering secure, compliant, and scalable Google Cloud and API capabilities across the organisation. The successful candidate will support innovation and enable seamless Google Cloud adoption, helping to deliver resilient and efficient cloud-native solutions. As part of a cross-functional feature team, this individual will also contribute as a senior member of the wider engineering community, driving high-quality change and API modernisation initiatives. Role & Responsibilities Lead hands-on development and management of the Google Apigee API Management Platform Design, build, and deploy API proxies, policies, and configurations Implement CI/CD pipelines for API lifecycle management (Jenkins, GitHub Actions, Harness) Develop and maintain API security policies including OAuth, JWT, mTLS, rate limiting, and threat protection Automate Apigee deployments using Infrastructure as Code principles Integrate Apigee with GCP services such as Cloud Functions and Pub/Sub Develop Python scripts to automate API operations and workflows Manage API analytics, monitoring, and logging to ensure performance and compliance Enforce GCP Organization Policies and API governance standards Collaborate with DevOps teams on containerised deployments using GKE Optimise API performance through caching, quota management, and traffic routing Support migration of legacy APIs into standardised, reusable Apigee templates Skills & Experience Strong hands-on experience with Google Apigee API Management Proven experience with CI/CD pipelines and DevOps practices Proficiency in Python scripting for automation Experience with Jenkins, GitHub, or Harness Knowledge of Google Kubernetes Engine (GKE) Strong understanding of API security standards and policy-as-code (OPA/Sentinel) GCP Certification (preferably Apigee Certified API Engineer) Package Basic Salary: 80K - 90K Excellent Bonus Full Bens Hybrid 2-3 days onsite / Manchester
Mar 10, 2026
Full time
Senior GCP Apigee Engineer Overview Our client is seeking a Senior GCP Apigee Engineer to join their Public Cloud Platform team. This role is key to delivering secure, compliant, and scalable Google Cloud and API capabilities across the organisation. The successful candidate will support innovation and enable seamless Google Cloud adoption, helping to deliver resilient and efficient cloud-native solutions. As part of a cross-functional feature team, this individual will also contribute as a senior member of the wider engineering community, driving high-quality change and API modernisation initiatives. Role & Responsibilities Lead hands-on development and management of the Google Apigee API Management Platform Design, build, and deploy API proxies, policies, and configurations Implement CI/CD pipelines for API lifecycle management (Jenkins, GitHub Actions, Harness) Develop and maintain API security policies including OAuth, JWT, mTLS, rate limiting, and threat protection Automate Apigee deployments using Infrastructure as Code principles Integrate Apigee with GCP services such as Cloud Functions and Pub/Sub Develop Python scripts to automate API operations and workflows Manage API analytics, monitoring, and logging to ensure performance and compliance Enforce GCP Organization Policies and API governance standards Collaborate with DevOps teams on containerised deployments using GKE Optimise API performance through caching, quota management, and traffic routing Support migration of legacy APIs into standardised, reusable Apigee templates Skills & Experience Strong hands-on experience with Google Apigee API Management Proven experience with CI/CD pipelines and DevOps practices Proficiency in Python scripting for automation Experience with Jenkins, GitHub, or Harness Knowledge of Google Kubernetes Engine (GKE) Strong understanding of API security standards and policy-as-code (OPA/Sentinel) GCP Certification (preferably Apigee Certified API Engineer) Package Basic Salary: 80K - 90K Excellent Bonus Full Bens Hybrid 2-3 days onsite / Manchester
