Senior Software Engineer

5+ years of professional software engineering experience, with at least 3+ years in customer-facing platforms, enterprise integrations, or CRM-driven systems. - Strong expertise in backend and application development using Python or Java, JavaScrip or TypeScript, with the ability to build production-grade, scalable software systems. - Strong experience designing and building cloud-native solutions on AWS, including services such as Lambda, S3, RDS, API Gateway, and CloudWatch, with a focus on scalability, resilience, and security. - Proven experience integrating LLMs and generative AI capabilities into production-ready applications, ideally using Amazon Bedrock, LangChain, or similar frameworks. - Experience building AI-powered backend services such as prompt orchestration layers, RAG workflows, retrieval pipelines, or other intelligent application patterns. - Strong software engineering fundamentals, including distributed systems design, API development, testing strategies, code quality, and maintainable architecture. - Experience building and supporting CI/CD pipelines, source control workflows, and automated deployments using tools such as GitHub and Gearset. - Ability to lead architecture discussions, influence technical strategy, and make sound engineering decisions across multiple systems and stakeholders. - Demonstrated experience mentoring engineers and helping teams improve engineering practices, technical quality, and delivery maturity. - Strong working knowledge of Agile/Scrum delivery models, and experience partnering across product, engineering, and business teams in sprint-based execution. - Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences. Nice to have

Deep hands-on experience with Salesforce architecture and development, including Apex, Lightning, Flow, APIs, and data models, with a strong understanding of enterprise CRM workflows. - Experience with advanced prompt engineering, evaluation strategies, and optimization techniques for customer-facing AI applications. - Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures. - Experience with LangGraph, LangSmith, agentic workflows, or related frameworks for orchestrating more advanced AI application behavior. - Background in enterprise security, compliance, and data governance , especially as it relates to AI adoption and customer data protection. - Experience with containerization and orchestration technologies such as Docker and Kubernetes . - Exposure to advanced AWS services such as SageMaker, AppConfig, or event-driven architectures. - Track record of leading cross-functional technical initiatives or delivering large-scale platform improvements. What we value

Technical leadership and the ability to guide architecture, influence decisions, and elevate engineering practices across the team. - Strong engineering discipline, with a focus on clean design, maintainable code, observability, testing, and production excellence. - AI curiosity and pragmatism, balancing innovation with responsible, scalable implementation of emerging technologies. - Ownership mindset, taking responsibility from idea to implementation to operational success. - Mentorship and collaboration, with a genuine interest in helping others grow and working effectively across teams and functions. - Customer focus, with the ability to connect technical solutions to better customer and business outcomes. Why join us

Lead innovation at the intersection of enterprise customer platforms and cutting-edge AI technology. - Build intelligent, customer-facing solutions that have direct business impact and improve the overall customer experience. - Shape technical direction for AI-enabled capabilities across Salesforce, AWS, and modern integration platforms. - Work with a team that values engineering excellence, collaboration, and thoughtful adoption of emerging technologies. - Mentor engineers, influence architectural decisions, and play a key role in the evolution of our customer experience platform. #LI-Remote