• The Software Architect II is responsible for defining the overall structure and behavior of software systems. • Partner closely with members of the development scrum team, including developers, QA testers, business analysts, and project managers. • Define, establish, and champion the adoption of best practices, patterns and standards that will reduce technical debt, increase delivery effectiveness, and ensure security policies are adhered to. • Direct team members and drive software design and architectural patterns that align to enterprise architecture standards. • Own the software environment strategy while partnering with Cloud Engineers and Architects.

• Drive the design and implementation of a greenfield billing service, replacing legacy code with modern microservices, strong test coverage, and production-grade observability • Enable other product teams by building and maintaining billing infrastructure they depend on • Triage and resolve billing support tickets, including escalation to the payments team when needed • Collaborate closely with the Accounts Receivable team to translate accounting requirements into engineering solutions • Use AI tools (Claude and/or Cursor) as your primary development environment

• Design and develop serverless and containerized services using Go and Python • Build and operate microservices using cloud-native compute platforms across AWS, Azure, and GCP (e.g., Lambda, Azure Functions, ECS/Fargate, managed container services) • Implement Infrastructure as Code using Terraform to manage multi-account and multi-project cloud environments • Develop and maintain CI/CD pipelines using Jenkins and CloudOS • Build event-driven workflows using cloud-native messaging and orchestration services • Implement scalable data persistence using managed databases and object storage services • Contribute to security and compliance controls • Implement monitoring, logging, and tracing using cloud-native observability tools and custom metrics • Support AI-assisted observability initiatives, including intelligent alerting, anomaly detection, and signal correlation using telemetry data • Optimize services for reliability, performance, and cost across cloud providers • Participate in on-call rotations and production incident response • Build and enhance automated cloud account and project provisioning workflows • Develop self-service APIs for infrastructure requests and governance • Implement cross-account and cross-project identity and access controls • Create reusable Terraform modules and service templates • Build and maintain Docker images and manage deployments via container registries

• Design, build, and maintain backend services and APIs to support our GenAI product using Python and FastAPI, ensuring they are scalable, reliable, and secure. • Develop and operate LLM-powered applications and agentic workflows using LangChain, LangGraph, and LangSmith, including tracing, evaluation, and observability. • Develop and manage infrastructure using Terraform, applying infrastructure-as-code (IaC) practices across backend and ML resources. • Build and maintain monitoring and alerting systems to surface service and API health issues early, ensuring reliability and performance. • Handle large datasets to ensure data is processed, ready for model context, and collaborate in the platform data pipeline. • Evaluate and select appropriate tools and technologies and define the overall technical strategy. • Assess and interpret data to gain insights, especially for testing and monitoring purposes. • Build and maintain CI/CD pipelines, including infrastructure-as-code (IaC), and automate deployment and monitoring across backend services and ML workflows. • Continuously improve and automate monitoring and alerts processes. • Optimize infrastructure and services for performance, scalability, reliability, and cost efficiency, and troubleshoot issues across deployment and runtime. • Troubleshoot and resolve issues related to pipeline deployment and performance. • Contribute to the development of internal engineering standards and documentation. • Advocate for engineering best practices and promote a culture of continuous improvement also mentoring and guiding others in the company in this topic. • Understand the requirements of stakeholders and translate them into technical solutions. • Develop robust model monitoring and alerting systems to ensure model performance and identify issues. • Support our mission and vision and embody and demonstrate AppOmni core values of Trust, Transparency, Quality, Customer Focus, and Delivery. Comply with all company policies and governing laws and regulations.