• Design, implement, and maintain enterprise identity architectures within Microsoft Azure • Serve as the technical authority for identity and access management (IAM) solutions, including Microsoft Entra ID (Azure AD), ADFS, and hybrid identity integrations • Architect and manage endpoint engineering and device management solutions, leveraging Microsoft Endpoint Configuration Manager (MECM/SCCM) and Microsoft Intune • Define and enforce identity and endpoint standards , policies, and configurations to ensure consistency, security, and scalability across the enterprise • Design and support identity federation, single sign-on (SSO), conditional access, and authentication flows across enterprise systems • Integrate identity and endpoint services with Azure-hosted workloads and on-premises infrastructure • Collaborate with Information Assurance and cybersecurity teams to design and implement security controls related to identity, access, and endpoint management • Support compliance, audit, and authorization activities by providing architecture documentation, control mappings, and technical guidance • Lead troubleshooting and resolution of complex identity and endpoint issues, including authentication failures, access problems, and device compliance issues • Evaluate and recommend improvements to identity and endpoint architectures, balancing security, usability, and operational impact • Guide system and platform engineers on identity integration patterns and endpoint management best practices • Maintain authoritative architecture diagrams, standards, and technical documentation for identity and endpoint services • Support lifecycle activities for identity and endpoint platforms, including upgrades, migrations, and modernization efforts • Participate in strategic planning and technical reviews to ensure identity and endpoint services align with enterprise architecture and mission needs

• Own end-to-end accountability for assigned clients, regional performance • Drive achievement of annual bookings target • Develop and execute an assigned growth strategy • Executive sponsor for assigned accounts • Lead our client engagement strategy • Partner with COO’s Delivery Directors to ensure successful system implementations

Role Overview The GCP Platform Engineer is responsible for designing, building, and operating secure, scalable, and compliant cloud and AI-enabled platforms on Google Cloud Platform (GCP). This role focuses on enabling application, data, and AI teams through standardized cloud infrastructure, Kubernetes platforms, and approved Google AI services. The engineer ensures that AI and cloud workloads are deployed with strong governance, security controls, observability, and enterprise reliability standards. Working cross-functionally with Cloud, Data & AI, Security, and Risk teams, this role supports the safe and compliant adoption of AI capabilities within a regulated enterprise environment. Required Qualifications - 5+ years of experience in cloud, platform, or DevOps engineering. - Strong hands-on experience with Google Cloud Platform. - Expertise in Terraform and Infrastructure as Code. - Experience operating Kubernetes (GKE) in enterprise environments. - Proficiency in scripting (Python, Bash, or Go). - Strong understanding of cloud security, IAM, and networking. - Experience working in regulated or highly governed environments. Key Responsibilities Enterprise Cloud & AI Platform Engineering - Design and maintain enterprise GCP landing zones aligned with governance and security standards. - Build and operate shared cloud services supporting both AI and non-AI workloads. - Implement Infrastructure as Code (Terraform) for platform, networking, and AI service enablement. - Enable secure hybrid connectivity and controlled data access patterns. Kubernetes & AI Workload Enablement - Engineer and operate GKE clusters for application and AI inference workloads. - Standardize containerized deployment patterns using approved base images. - Support GPU-enabled workloads where required. - Enable scalable deployment of AI APIs and services. Google AI & GenAI Platform Services - Enable and operate approved Google AI services, including: - Vertex AI (model hosting, endpoints, pipelines – platform enablement) - Gemini APIs and other managed GenAI services - BigQuery ML and AI-integrated analytics platforms - Implement secure access controls, networking, and monitoring for AI services. - Integrate AI services into CI/CD pipelines and enterprise SDLC processes. - Partner with Data & AI teams to operationalize AI workloads safely and compliantly. DevOps & MLOps Foundations - Build secure CI/CD pipelines for cloud and AI workloads. - Support MLOps capabilities including: - Automated model deployment and promotion - Environment lifecycle management - Monitoring and logging for AI endpoints - Enforce policy-as-code, guardrails, and approval workflows for AI usage. Security, Compliance & Governance - Implement IAM, workload identity, and least-privilege access models. - Enforce encryption, data residency, and secure networking practices. - Integrate platform telemetry with enterprise logging and monitoring systems. - Support audit, risk, and regulatory compliance requirements. Reliability, Observability & Cost Optimization - Design highly available and resilient cloud and AI platforms. - Monitor workload performance, reliability, and cost usage. - Optimize cloud and AI spend through budgets and usage controls. - Participate in incident response and root-cause analysis. Collaboration & Standards - Partner with Cloud, Data & AI, Security, Risk, and Application teams. - Contribute to enterprise cloud and AI platform standards. - Document reference architectures and best practices. - Provide guidance on responsible AI platform adoption. Preferred Qualifications (AI-Focused) - Experience enabling or operating Google AI services such as: - Vertex AI (endpoints, pipelines, monitoring) - Gemini APIs or other managed GenAI services - BigQuery ML - Familiarity with MLOps concepts (model deployment, versioning, monitoring). - Experience supporting AI inference workloads. - Understanding of responsible AI practices, data governance, and model risk controls. - GCP certifications (Cloud Architect, DevOps Engineer; AI certifications a plus). About Opplane Opplane specializes in providing advanced data-focused solutions for financial services, telecommunication, and reg-tech to accelerate their digital transformation journey. Opplane leadership team is comprised of Silicon Valley serial entrepreneurs and experienced executives. Its expertise comes from years of specific industry experience at some of the world’s top companies, such as PayPal, Xerox Parc, Amazon, Wells Fargo, SoFi in the areas of product management, data technology, data governance, data privacy, security, machine learning, and risk management. Global & Multicultural – Diverse perspectives, global collaboration (US, Portugal, India and Singapore offices) ⚡ Startup Energy – Fast-moving, impact-driven environment Ownership Mindset – Engineers own what they build Collaborative & Friendly – Open, curious, and supportive culture

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The GCP Engineer is a senior cloud engineering role responsible for architecting scalable, secure, and high-performing solutions on Google Cloud Platform. This position combines hands-on technical expertise with cloud engineering leadership, driving modernization initiatives, CI/CD and Infrastructure as Code adoption, and enterprise cloud standards. The role plays a key part in enabling secure cloud-native systems, guiding platform evolution, and mentoring engineering teams to accelerate cloud adoption across the organization. Qualifications - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) - 8+ years of software, cloud, or infrastructure engineering experience - 4+ years of hands-on experience with Google Cloud Platform - Proven experience designing cloud-native and hybrid architectures - Strong expertise in GCP core services and networking - Kubernetes (GKE) and containerization - CI/CD and DevOps practices - Infrastructure as Code (Terraform preferred) - Python, Java, Go, or similar languages - Experience in Agile/DevOps environments Requirements - Design and implement enterprise-grade solutions on Google Cloud Platform - Architect scalable, secure, and resilient cloud-native and hybrid applications - Lead migration and modernization initiatives, including re-platforming and transformation efforts - Define and maintain cloud architecture standards and best practices - Build and optimize CI/CD pipelines (Harness, GitHub Actions, Jenkins, or similar) - Implement Infrastructure as Code using Terraform or equivalent - Automate provisioning, deployments, and operational workflows - Promote observability and Site Reliability Engineering (SRE) practices - Ensure cloud solutions meet security, privacy, and regulatory requirements - Implement IAM, network security, encryption, and key management best practices - Partner with security and compliance teams to enforce governance and cost controls - Act as technical lead for cross-functional cloud initiatives - Conduct architecture reviews and guide engineering best practices - Mentor engineers across application, infrastructure, and platform teams - Collaborate with product and business stakeholders to translate requirements into scalable cloud solutions - Implement and optimize GCP services including Compute Engine, GKE, Cloud Run, BigQuery, Cloud SQL, Pub/Sub, and Cloud Storage - Optimize performance, scalability, reliability, and cost efficiency across environments Benefits - GCP Professional certifications (Cloud Architect, DevOps Engineer, or Data Engineer) - Experience in regulated industries (e.g., financial services, insurance, healthcare) - Strong background in security and compliance frameworks - Experience in hybrid or multi-cloud environments - Knowledge of SRE and observability practices Company Description Opplane specializes in providing advanced data-focused solutions for financial services, telecommunication, and reg-tech to accelerate their digital transformation journey. Opplane leadership team is comprised of Silicon Valley serial entrepreneurs and experienced executives. Its expertise comes from years of specific industry experience at some of the world’s top companies, such as PayPal, Xerox Parc, Amazon, Wells Fargo, SoFi in the areas of product management, data technology, data governance, data privacy, security, machine learning, and risk management. - Global & Multicultural – Diverse perspectives, global collaboration (US, Portugal, India and Singapore offices) - Startup Energy – Fast-moving, impact-driven environment - Ownership Mindset – Engineers own what they build - Collaborative & Friendly – Open, curious, and supportive culture