Solution Architect – Service Cloud V2 & SAP CE (m/w/d)

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.   ABOUT THE ROLE: As a Lead Agent Architect - SAP at Parloa, you will help transform customer service with AI agents in enterprise SAP environments. In this customer-facing role, you will support implementations where Parloa’s conversational AI platform must work reliably with SAP data, processes, and integration constraints -from design through testing and go-live readiness. You combine LLM and agent design (prompt engineering, conversational structure, quality, and operational readiness) with hands-on SAP integration literacy: you understand how Parloa agents should read from and write to SAP systems safely and predictably, and you partner with Forward Deployed Engineering and customer SAP teams to make that path buildable, testable, and production-grade. You will design, prototype, validate, and refine conversational solutions and agent workflows that depend on SAP-backed use cases (for example order management, customer data, case management, and transactional queries), while ensuring the integration layer between Parloa and SAP is reflected accurately in agent behavior, tools, and guardrails.   AREAS OF OWNERSHIP: * Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners  with a focus on programs where SAP-backed systems and processes are in scope (for example SAP Service Cloud / CRM, and related enterprise SAP landscapes) * Leverage your knowledge of LLMs (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior, including cases where agent actions depend on SAP-sourced data and SAP business rules * Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively  * Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards * Build and configure integrations between customers’ systems and Parloa’s platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms, including SAP CX / SAP ERP surfaces where applicable) via integration platforms and APIs to deliver end-to-end enterprise solutions * Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities,  including SAP-specific connectivity, authentication, and data-access patterns (e.g., OData, REST/SOAP, OAuth2 / SAP IAS / XSUAA) where they materially affect agent behavior and reliability * Identify and solve blockers together with other departments at Parloa (e.g., Product, Forward Deployed Engineering or Sales) and the customer, including coordination with customer SAP teams and SAP partner engineers when required to unblock delivery * Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions — with explicit coverage for integration-dependent paths common in SAP environments (partial responses, authorization failures, latency, and transactional correctness) * Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team   WHO YOU ARE: * 5+ years in enterprise customer-facing roles with proven expertise in conversation design and AI agent development for implementation settings (not only concept work) * Exposure to SAP AI Core, SAP Agent Builder, or similar AI extensions within SAP * Experience with conversational AI / contact center / CX technology in an SAP context * Demonstrable SAP integration experience in live enterprise delivery contexts, including comfort operating across SAP BTP, S/4HANA, ECC, Service Cloud, CRM, and/or adjacent SAP CX stacks as they relate to agent-connected use cases * Solid understanding of SAP APIs and data access patterns across one or more relevant surfaces: OData v2/v4, REST/SOAP, and authentication patterns including OAuth2 and SAP IAS/XSUAA * Strong prompt engineering and LLM workflow design skills: you can analyze requirements and craft prompts/instructions for reliable, user-aligned behavior under enterprise constraints * Analytical and structured communicator: explicit trade-offs, decisions, next steps; strong stakeholder and milestone discipline * Proficiency with JSON/XML, API testing tools (e.g. Postman), and reading enterprise API documentation NICE TO HAVE: * Experience working with or for SAP system integrators in delivery or presales-adjacent engineering roles * Familiarity with cloud landing zones commonly paired with SAP integrations (e.g., Microsoft Azure), Kubernetes concepts, and/or TypeScript/Node.js tooling for integration-heavy delivery * Git-based collaboration and CI/CD exposure   HOW YOU WILL WORK WITH PARLOA TEAMS: You will work as a technical delivery partner alongside Forward Deployed Engineering (including SAP integration specialists) on shared technical outcomes: reliable connectivity, correct data contracts, and agent behavior that holds up in production. You are expected to work on integration mechanics where they directly impact agent quality: API contracts, authentication and token flows, request/response shaping, pagination and filtering, error handling, latency and timeouts,, and environment-specific constraints, and to debug, validate, and tighten those paths using structured tests and measurable evidence. This is not a “design-only” handoff model: you will configure, test, and iterate integration-connected agent capabilities with the same engineering rigor you apply to prompts and conversational structure, escalating to deeper platform engineering when the problem crosses into core product/runtime ownership.   OUR RECRUITING PROCESS: Talent Acquisition → Hiring Manager → Technical & Expert Interview(s) → Bar Raiser   WHY PARLOA? We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it. At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.   Compensation for this role is structured as On-Target Earnings (OTE), consisting of a base salary and performance-based variable component, in addition to an equity package. Salary Range $142,000—$160,000 USD   ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale. ABOUT THE ROLE: As a Lead SAP Agent Architect at Parloa, you will help transform customer service with AI agents in enterprise SAP environments. In this customer-facing role, you will support implementations where Parloa’s conversational AI platform must work reliably with SAP data, processes, and integration constraints -from design through testing and go-live readiness. You combine LLM and agent design (prompt engineering, conversational structure, quality, and operational readiness) with hands-on SAP integration literacy: you understand how Parloa agents should read from and write to SAP systems safely and predictably, and you partner with Forward Deployed Engineering and customer SAP teams to make that path buildable, testable, and production-grade. You will design, prototype, validate, and refine conversational solutions and agent workflows that depend on SAP-backed use cases (for example order management, customer data, case management, and transactional queries), while ensuring the integration layer between Parloa and SAP is reflected accurately in agent behavior, tools, and guardrails. AREAS OF OWNERSHIP: * Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners  with a focus on programs where SAP-backed systems and processes are in scope (for example SAP Service Cloud / CRM, and related enterprise SAP landscapes) * Leverage your knowledge of LLMs (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior, including cases where agent actions depend on SAP-sourced data and SAP business rules * Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively  * Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards * Build and configure integrations between customers’ systems and Parloa’s platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms, including SAP CX / SAP ERP surfaces where applicable) via integration platforms and APIs to deliver end-to-end enterprise solutions * Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities,  including SAP-specific connectivity, authentication, and data-access patterns (e.g., OData, REST/SOAP, OAuth2 / SAP IAS / XSUAA) where they materially affect agent behavior and reliability * Identify and solve blockers together with other departments at Parloa (e.g., Product, Forward Deployed Engineering or Sales) and the customer, including coordination with customer SAP teams and SAP partner engineers when required to unblock delivery * Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions — with explicit coverage for integration-dependent paths common in SAP environments (partial responses, authorization failures, latency, and transactional correctness) * Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team WHO YOU ARE: * 4+ years in enterprise customer-facing roles with proven expertise in conversation design and AI agent development for implementation settings (not only concept work) * Exposure to SAP AI Core, SAP Agent Builder, or similar AI extensions within SAP * Experience with conversational AI / contact center / CX technology in an SAP context * Demonstrable SAP integration experience in live enterprise delivery contexts, including comfort operating across SAP BTP, S/4HANA, ECC, Service Cloud, CRM, and/or adjacent SAP CX stacks as they relate to agent-connected use cases * Solid understanding of SAP APIs and data access patterns across one or more relevant surfaces: OData v2/v4, REST/SOAP, and authentication patterns including OAuth2 and SAP IAS/XSUAA * Strong prompt engineering and LLM workflow design skills: you can analyze requirements and craft prompts/instructions for reliable, user-aligned behavior under enterprise constraints * Analytical and structured communicator: explicit trade-offs, decisions, next steps; strong stakeholder and milestone discipline * Proficiency with JSON/XML, API testing tools (e.g. Postman), and reading enterprise API documentation * Fluency in German and English is required  NICE TO HAVE: * Experience working with or for SAP system integrators in delivery or presales-adjacent engineering roles * Familiarity with cloud landing zones commonly paired with SAP integrations (e.g., Microsoft Azure), Kubernetes concepts, and/or TypeScript/Node.js tooling for integration-heavy delivery * Git-based collaboration and CI/CD exposure HOW YOU WILL WORK WITH PARLOA TEAMS: You will work as a technical delivery partner alongside Forward Deployed Engineering (including SAP integration specialists) on shared technical outcomes: reliable connectivity, correct data contracts, and agent behavior that holds up in production. You are expected to work on integration mechanics where they directly impact agent quality: API contracts, authentication and token flows, request/response shaping, pagination and filtering, error handling, latency and timeouts,, and environment-specific constraints, and to debug, validate, and tighten those paths using structured tests and measurable evidence. This is not a “design-only” handoff model: you will configure, test, and iterate integration-connected agent capabilities with the same engineering rigor you apply to prompts and conversational structure, escalating to deeper platform engineering when the problem crosses into core product/runtime ownership. OUR RECRUITING PROCESS: Talent Acquisition → Hiring Manager → Technical & Expert Interview(s) → Bar Raiser   ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Moniepoint

Who we are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. About the role Engineering at Moniepoint is an inspired, customer-focused community dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers - kubernetes, docker etc. We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience. Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. Position Overview We are seeking an experienced Cloud Engineer to design, implement, and manage our multi-cloud infrastructure. The ideal candidate will have deep expertise in cloud platforms, container orchestration, infrastructure automation, CI/CD pipelines, and observability solutions, ensuring scalable, reliable, and cost-effective cloud operations across multiple cloud providers. Principal Duties and Responsibilities Cloud Infrastructure Management * Design, deploy, and manage multi-cloud infrastructure across Google Cloud Platform (GCP), Amazon Web Services (AWS), Azure, and Oracle Cloud Infrastructure (OCI) * Architect and implement highly available, fault-tolerant, and scalable cloud solutions * Manage cloud resources including compute instances and networking components * Design and implement disaster recovery and business continuity plans for cloud workloads * Migrate on-premises applications and services to cloud environments with minimal disruption * Optimize cloud resource utilization and implement auto-scaling policies * Maintain comprehensive documentation of cloud architectures, configurations, and runbooks Kubernetes & Container Orchestration * Design, deploy, and manage production-grade Kubernetes clusters across multiple cloud providers * Implement and maintain container orchestration strategies for microservices architectures * Configure and manage Kubernetes resource objects * Manage Kubernetes cluster upgrades, scaling, and performance optimization * Troubleshoot complex container and orchestration issues in production environments * Implement multi-cluster and multi-region Kubernetes deployments for high availability Service Mesh & Advanced Networking * Design, deploy, and manage Istio service mesh for microservices communication and observability * Configure Istio traffic management, including virtual services, destination rules, and gateways * Implement advanced traffic routing (canary deployments, A/B testing, traffic splitting) using Istio * Deploy and manage Istio observability components (telemetry, distributed tracing, service graphs) * Implement circuit breaking, retries, timeouts, and fault injection for resilience testing * Configure Istio ingress and egress gateways for external traffic management * Monitor and optimize service mesh performance and resource utilization * Implement multi-cluster service mesh architectures across different cloud providers Reverse Proxy & Load Balancing * Deploy, configure, and manage HAProxy for high-performance load balancing and reverse proxy * Implement HAProxy ACLs, backend routing, health checks, and session persistence * Design and implement Nginx as reverse proxy for web applications and API gateways * Configure Nginx for rate limiting and request filtering * Implement Nginx load balancing algorithms and upstream health monitoring * Manage Nginx Plus features for advanced traffic management and monitoring * Optimize HAProxy and Nginx performance for high-throughput environments Infrastructure as Code & Configuration Management * Develop and maintain infrastructure as code using Terraform * Create reusable, modular Terraform configurations for various cloud resources and Implement Terraform state management and remote backends * Design and implement configuration management solutions using Ansible * Develop Ansible playbooks and roles for automated server provisioning and configuration * Integrate Terraform and Ansible workflows for end-to-end infrastructure automation * Implement infrastructure version control, code review processes, and GitOps practices * Manage infrastructure drift detection and remediation * Create and maintain infrastructure documentation and architecture diagrams * Implement policy-as-code using tools like OPA (Open Policy Agent) or Sentinel CI/CD Pipeline Management * Design, implement, and maintain continuous integration pipelines using Jenkins and Harness * Optimize build times and pipeline efficiency * Integrate security scanning (SAST, DAST, container scanning) into CI/CD pipelines * Configure Jenkins jobs, pipelines, and shared libraries for automated build, configure build agents, runners, and execution environments * Implement Harness deployment pipelines for cloud-native applications * Integrate CI/CD pipelines with version control systems (Git, GitHub, GitLab) * Implement continuous deployment workflows using ArgoCD for Kubernetes-based applications * Design and implement GitOps workflows with ArgoCD for declarative application delivery * Manage ArgoCD application definitions, sync policies and multi-cluster deployments * Implement progressive delivery strategies (blue-green deployments, canary releases) using ArgoCD Message Streaming & Event-Driven Architecture * Deploy and manage Apache Kafka clusters for real-time data streaming and event-driven architectures * Configure Kafka topics, partitions, replication factors, and retention policies * Implement Kafka Connect for data integration with various sources and sinks * Monitor Kafka cluster health, performance metrics, and consumer lag * Optimize Kafka performance for high-throughput and low-latency use cases * Troubleshoot Kafka producer and consumer issues Database & Proxy Management * Deploy, configure, and manage ProxySQL for MySQL load balancing and high availability * Implement query routing, caching, and connection pooling strategies using ProxySQL * Optimize database performance through ProxySQL query analysis and optimization * Implement database failover and disaster recovery using ProxySQL * Monitor ProxySQL metrics and troubleshoot connection and performance issues * Integrate ProxySQL with database clusters and replication topologies * Implement database access security and audit logging through ProxySQL Cloud Networking * Design and implement cloud networking architectures, including VPCs, subnets, and network segmentation * Configure and manage cloud load balancers (Application Load Balancers, Network Load Balancers, Cloud Load Balancing) * Implement VPN connections, Direct Connect/Interconnect, and hybrid cloud networking solutions * Implement network security controls, including security groups, network ACLs, and firewall rules * Implement network monitoring and traffic analysis * Troubleshoot complex networking issues across multi-cloud environments * Design and implement private connectivity between cloud providers Secrets Management & Security * Configure and manage HashiCorp Vault for centralized secrets management across multi-cloud environments * Configure Vault secret engines (KV, database, PKI, AWS, GCP, Azure dynamic secrets) * Manage Vault high availability clusters and disaster recovery procedures * Implement dynamic database credentials and secret rotation strategies * Manage Vault encryption as a service for application-level encryption * Implement Vault agent and sidecar injectors for Kubernetes workloads * Migrate secrets from legacy systems to Vault   Qualifications, Competency & Skills Required Education & Experience * Bachelor's degree or diploma in Computer Science, Information Technology, Engineering, or related field * Minimum of 5 years of proven experience in cloud engineering, DevOps, or platform engineering roles * Hands-on experience managing production workloads across multiple cloud platforms * Relevant cloud and technology certifications are highly desirable  Technical Skills Cloud Platforms (Required) * Google Cloud Platform (GCP): Deep expertise in Compute Engine, GKE, Cloud Storage, Cloud SQL, VPC, Cloud Functions, Cloud Run, IAM * Amazon Web Services (AWS): Proficiency in EC2, EKS, S3, RDS, VPC, Lambda, ECS, CloudFormation, IAM * Microsoft Azure: Experience with Virtual Machines, AKS, Blob Storage, Azure SQL, Virtual Networks, Azure Functions, ARM templates * Oracle Cloud Infrastructure (OCI): Familiarity with Compute, OKE, Object Storage, networking, and OCI-specific services * Multi-cloud architecture design and implementation experience * Cloud migration strategies and execution (lift-and-shift, re-platforming, re-architecting) Container & Orchestration (Required) * Expert-level Kubernetes knowledge, including cluster architecture, networking, storage, and security * Hands-on experience with managed Kubernetes services (GKE, EKS, AKS) * Proficiency in Docker containerization, image optimization, and registry management * Experience with Helm charts for application packaging and deployment * Knowledge of container runtime environments (containerd, CRI-O) Service Mesh & Microservices (Required) * Istio: Deep expertise in Istio architecture, deployment, and operations * Istio traffic management (virtual services, destination rules, gateways, service entries) * Istio security features (mTLS, authorization policies, peer authentication, request authentication) * Istio observability and telemetry configuration * Multi-cluster and multi-mesh deployments * Service mesh troubleshooting and performance optimization * Understanding of sidecar proxy patterns and Envoy proxy * Experience with other service mesh solutions (Linkerd, Consul Connect) is a plus Reverse Proxy & Load Balancing (Required) * HAProxy Advanced configuration and management for load balancing and high availability * Nginx Expert-level configuration as reverse proxy and API gateway * Nginx rate limiting, and performance tuning * Nginx load balancing algorithms and upstream configurations * Experience with Nginx modules and custom configurations * High availability configurations using keepalived, VRRP, or similar * Integration with Kubernetes ingress controllers (Nginx Ingress, Istio Ingress) Infrastructure as Code (Required) * Advanced Terraform skills for multi-cloud infrastructure provisioning * Terraform module development, state management, and workspace strategies * Proficiency in Ansible for configuration management and automation * Ansible playbook development, roles, and inventory management * Experience with version control systems (Git) and GitOps workflows * Infrastructure testing frameworks (Terratest, Kitchen-Terraform) CI/CD Tools (Required) * Jenkins: Pipeline development (declarative and scripted), shared libraries, plugin management * Harness: Deployment pipeline configuration, workflow creation, approval gates * ArgoCD: GitOps workflows, application synchronization, multi-cluster management * Integration of CI/CD tools with Kubernetes and cloud platforms * Automated testing and deployment strategies * Artifact repository management (Nexus, Artifactory, cloud-native registries) Messaging & Streaming (Required) * Apache Kafka architecture, cluster management, and operations * Kafka topic design, partitioning strategies, and performance tuning * Kafka Connect experience * Experience with Kafka management tools (Kafka Manager, Cruise Control) * Understanding of event-driven architectures and patterns Database & Proxy Technologies (Required) * ProxySQL configuration, management, and optimization * MySQL database administration basics * Understanding of database replication and clustering Observability & Monitoring (Required) * Prometheus metrics collection, PromQL, and alerting rules * Grafana dashboard design and visualization techniques * Log aggregation and analysis Networking (Required) * Deep understanding of TCP/IP, DNS, HTTP/HTTPS, and network protocols * Cloud networking concepts (VPC, subnets, routing tables, NAT, VPN) * Load balancing strategies and implementations * Service discovery and DNS-based routing * Network security and firewall configuration * Software-defined networking (SDN) concepts Scripting & Programming * Proficient in scripting languages: Python, Bash * Go or python programming basics for tooling development * YAML and JSON for configuration management * Understanding of software development best practices Secrets Management (Required) * HashiCorp Vault: Advanced knowledge of Vault architecture, deployment, and operations * Vault authentication methods and integration with cloud providers and Kubernetes * Vault secret engines (KV v1/v2, database, transit, cloud dynamic... What we can offer you * Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. * Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. * Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. What to expect in the hiring process * A technical interview with the Hiring Manager * A behavioural and technical interview with a member of the Executive team.