• Design and implement RAG-based architectures using Azure OpenAI and Azure AI Search. • Develop backend APIs and services to support GenAI applications. • Architect and deploy Azure serverless solutions (Azure Functions, Logic Apps, Container Apps). • Build scalable data pipelines for indexing, embedding, and retrieval workflows. • Implement CI/CD pipelines for AI systems using Azure DevOps or GitHub Actions. • Define and implement system architecture ensuring performance, scalability, and high availability. • Apply infrastructure as code using Terraform or Bicep. • Collaborate with frontend, data, and AI teams to deliver end-to-end GenAI solutions. • Enforce security, governance, and compliance best practices.

• Build and maintain mobile application features, primarily using Flutter. • Contribute across the full stack, including mobile, frontend, backend, APIs, cloud infrastructure, and integrations. • Design, develop, and maintain backend infrastructure on Google Cloud Platform and Firebase. • Build robust server-side logic using Node.js and Cloud Functions in a serverless architecture. • Model, manage, and optimize Firestore databases for performance, reliability, and scalability. • Develop and maintain RESTful APIs and third-party integrations. • Collaborate closely with developers, QA, product, and design teams to deliver high-quality features end to end. • Partner with product to define technical solutions that are scalable, pragmatic, and aligned with business goals. • Coordinate implementation across mobile, frontend, backend, and QA dependencies. • Support deployments and help ensure smooth delivery across environments. • Monitor, debug, and improve system performance, reliability, observability, and error handling. • Investigate production issues and contribute to durable fixes. • Contribute to improving engineering practices, tooling, documentation, and overall development velocity. • Use AI tools thoughtfully to accelerate development, improve documentation, explore solutions, and support maintainable system design.

• Design and deploy cloud infrastructures using AWS. • Manage and optimize AWS resources to ensure efficiency and cost-effectiveness. • Implement monitoring, logging, and alerting solutions to maintain infrastructure health. • Develop and maintain automation scripts (IaC) for infrastructure management. • Ensure data security and compliance with security policies and regulations. • Collaborate with development teams to integrate applications into the cloud infrastructure. • Perform troubleshooting and incident resolution in production environments. • Stay updated with the latest trends and advancements in cloud technologies. • Build a solid knowledge base on AWS Cloud Services and the cloud ecosystem. • Educate clients of all sizes about the value proposition of Cloud Services. • Attend training sessions for clients who are considering or are already using AWS. • Collaborate with experienced cloud engineers to design and share knowledge of best practices among the AWS community.

Role Description We are seeking an exceptional Senior Software Engineer to join our growing Cloud Native Applications team. The right candidate is someone who has deep curiosity and expertise in designing and building applications, creating AI-first software solutions, and is passionate about working with our customers, partners, and colleagues to drive innovation forward. Your mission will be to work alongside Caylent’s Software teams, Sales, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll be hands-on with the latest technologies and support customers looking to bring cutting-edge ideas to market. - Collaborate as a member of software development teams to deliver AI-first, production-ready client software solutions. - Work with the Lead Architect to review technical requirements, contribute to technical decision making, and deliver working software to clients. - Participate in discovery sessions to gather customer requirements. - Follow architecture decisions and adhere to the solution design created by the Lead Architect. - Create, automate, and refine multiple levels of AI-driven testing. - Collaborate with lead software architects, project managers, peers, and leaders to deliver value to clients. Qualifications - Deliver exceptional client experiences, respond professionally to customer inquiries, communicate project status, and provide valuable solutions aligned to client needs. - Demonstrate strong collaboration with internal teams, proactively aligning on priorities, responding to clients, and addressing client feedback. - Communicate technical information clearly and actively listen to clients and team members to confirm understanding and prevent miscommunication. - Familiarity and experience with AWS cloud services. - Experience with more than one backend language such as Python, Node.js, C#, or TypeScript; and familiarity with frontend frameworks such as React, Vue, MVC, or .NET. Broad expertise is a plus, but proficiency across every technology listed is not required. - Learning and building with AI both for productivity and for enhancing client solutions. - Experience contributing and delivering on client-facing customer engagements. Requirements - Experience with: UX/UI, LLMs, AgentCore, GenAI, automated testing, CI/CD, IaC. Benefits - Pay in USD - 100% remote work - Generous holidays and flexible PTO - Competitive phantom equity - Paid for exams and certifications - Peer bonus awards - State of the art laptop and tools - Equipment & Office Stipend - Individual professional development plan - Annual stipend for Learning and Development - Work with an amazing worldwide team and in an incredible corporate culture - This role may require up to 25% travel, depending on business needs.