Cloud Platform & Infra Engineer
Location
Worldwide
Posted
9 days ago
Salary
0
Seniority
Mid Level
Job Description
Cloud Platform & Infra Engineer
Bridge 351
Role Description - Architect and build sophisticated AI agents using Gemini Enterprise for Customer Experience, Gemini models and CXAS, focusing on reasoning, grounding, and tool-use capabilities. - Migration of legacy conversational interfaces (e.g., Dialogflow Cx, Playbooks, or third-party bots) to advanced CXAS and generative AI architectures. - Design and implement Agent Assist features (e.g., Generative Knowledge Assist, Proactive GKA, AI Coach, Live Translation) and utilize CCAI Insights to analyze conversations and drive continuous improvement. - Connect AI agents to existing CCaaS/telephony platforms (e.g., Genesys, Cisco, Avaya) and enterprise CRM infrastructure (e.g., Salesforce, Zendesk) using APIs and middleware to ensure real-time data access and seamless omnichannel routing. - Develop and optimize complex prompts and orchestration layers to ensure high accuracy, brand voice consistency, and safety. - Design and maintain Retrieval-Augmented Generation (RAG) pipelines to provide agents with up-to-date, grounded knowledge from company documentation and knowledge bases. - Manage CI/CD pipelines and DevOps automation for agent development using tools like Terraform to ensure scalable, infrastructure-as-code deployments. - Establish robust Agent Ops practices, implementing evaluation frameworks to measure agent latency, accuracy, safety, and customer satisfaction, and iterating based on data-driven insights. - Work closely with CX leads and product managers to translate business requirements into technical AI workflows. Qualifications - Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. - 7 years of experience in technical client services. - Experience in the design and/or implementation of Cloud based technical architectures and solutions. - Deep understanding of Large Language Models (specifically Gemini), Gemini Enterprise for Customer Experience, and conversational AI platforms (CXAS, Dialogflow) in enterprise environments. - Expertise in Python, with experience in AI orchestration frameworks. - Experience building and consuming RESTful APIs and working with cloud infrastructure (Google Cloud Platform preferred). - Proficiency in vector databases (e.g., Pinecone, Vertex AI Search) and structured SQL/NoSQL databases. - Familiarity with enterprise-grade security protocols, PII masking, and AI safety guidelines. Benefits - Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team. - 100% Remote opportunities - flexibility to work where you feel most comfortable and productive. - International Career - professional growth and connection with the world. - Extra Benefits & Perks - Tech Visa Company for those outside the European Union, assistance provided. - Health and Life Insurance.
Related Guides
Related Categories
Related Job Pages
More Platform Engineer Jobs
• End to end ownership: You drive initiatives from idea to production, proactively identify opportunities and risks, and follow through to measurable impact. • Production grade services: You design, build, and operate reliable and scalable services and applications that power AI based features and internal capabilities. • Clean engineering craft: You write clean, testable, and efficient code, and you improve reliability and maintainability through reviews, standards, and pragmatic architecture. • AI and agentic engineering: You evaluate where AI adds user value, prototype responsibly, and help operationalize agentic workflows such as automation, decision support, and developer productivity. • Cross functional delivery: You partner with Product Managers and stakeholders to build user focused functionality and iterate based on feedback and outcomes. • Team enablement: You share knowledge, mentor engineers when needed, and contribute to a high performing team through better tools and processes.
• Develop, implement, and maintain governance frameworks across the Power Platform ecosystem. • Administer and support Power Platform environments, including Power Apps. • Design and deliver hands-on application solutions, including automation workflows and data architecture. • Maintain a comprehensive understanding of broader platform capabilities. • Design, build, and deploy scalable solutions using Power Pages, Power Apps, Power Automate, and Dataverse.
Role Description As the Principal Software Engineer, you will play a crucial role in enhancing and maintaining our SaaS platform, which is hosted on AWS. You will lead a talented team of engineers, collaborating with cross-functional teams to deliver robust and scalable solutions. - Lead and mentor a team of backend engineers in designing, developing, testing, and maintaining scalable backend services. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Architect, build, and maintain backend components of our SaaS platform hosted on AWS. - Ensure high performance, availability, and scalability of the platform. - Implement best practices for security, data protection, and compliance. - Own the DevOps and Infrastructure patterns for our web application. Qualifications - Proven experience as a backend software engineer in a leadership role, supporting large user bases. - AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Developer) strongly preferred. - Experience with Agile/Scrum methodologies. - Excellent communication and collaboration skills. Requirements - Strong experience with AWS services, including but not limited to EKS, EC2, Lambda, S3, RDS, DynamoDB, and API Gateway. - Expertise in containerization and orchestration using Docker and Kubernetes. - In-depth knowledge of microservices architecture and design patterns. - Experience with serverless computing and event-driven architecture. - Solid understanding of database systems, both SQL and NoSQL. - Familiarity with CI/CD pipelines and automated testing. - Strong problem-solving and debugging skills. - Experience with Docker and Kubernetes. Benefits - Competitive pay. - Bonus opportunities. - Career growth. - Exceptional benefits including health, dental, vision, 401(k), STD/LTD, and generous paid time off.
• As an Associate Data Platform Engineering Manager reporting to the Head of Data Engineering in our Data & Analytics - Data Platform Engineering team, your purpose will be to lead a small, high-impact team of 2-3 platform engineers while staying heavily involved in hands-on technical work. • You’ll split your time between people leadership - coaching your team, driving agile delivery, and managing OKRs - and engineering tasks. • You will design reliable Terraform/Terragrunt modules on GCP, champion data security controls (Dataplex, DLP), and establish standard, self-service developer tools that empower our downstream data teams to build with confidence.


