ABOUT THIS ROLE
As a Senior Software Engineer at LVT, you will architect, scale, and optimize the distributed core services that power our cutting-edge IoT and Agentic AI platforms. Operating within a high-velocity, collaborative environment, you will take ownership of robust API ecosystems, high-throughput data processing pipelines, and complex microservice architectures. In this critical role, you will solve demanding technical challenges at the intersection of hardware and cloud software, setting the engineering bar for reliability and performance while mentoring high-performing peers.
This role is based in-office out of our Headquarters in American Fork, Utah.
ROLE RESPONSIBILITIES
- Distributed System Architecture: Architect, build, and deploy high-throughput, low-latency backend services and microservices using Node.js, TypeScript, and modern enterprise frameworks.
- API Design & Ecosystem Management: Lead the design and implementation of resilient RESTful and GraphQL APIs, ensuring secure, efficient integration between physical edge devices, core data stores, and consumer surfaces.
- System Scalability & Performance: Optimize data ingestion pipelines and database performance to handle vast volumes of real-time IoT telemetry, computer vision metadata, and Agentic AI streams.
- Data Engineering & ORM Strategy: Design, optimize, and maintain complex relational databases (e.g., MySQL, PostgreSQL), driving best practices around schema design, caching strategies, and ORM query optimization.
- Engineering Standards & Technical Leadership: Establish code quality standards through rigorous code reviews, automated CI/CD pipeline improvements, architectural design RFCs, and strategic technology selection.
- Testing & System Resilience: Drive continuous integration and high availability by writing comprehensive unit, integration, and load tests to safeguard critical production systems against regressions.
- Observability & Incident Response: Implement robust observability, telemetry, and distributed tracing frameworks to proactively monitor health, troubleshoot edge-to-cloud performance bottlenecks, and resolve complex defects.
- Cross-Functional Collaboration: Partner closely with product management, hardware engineers, and AI research teams to translate ambiguous business requirements into robust, scalable software solutions.
OUR IDEAL CANDIDATE
- Proven Senior Engineering Experience: 5+ years of professional backend software engineering experience, with a track record of architecting and operating production systems at scale.
- Advanced TypeScript & Node.js Mastery: Deep expertise in server-side TypeScript and Node.js, including strong knowledge of asynchronous programming, event loops, and microservices design patterns.
- Production API Expertise: Deep experience designing, building, and scaling performant RESTful and GraphQL APIs for enterprise applications or complex IoT ecosystems.
- Relational Database & Data Pipeline Mastery: Strong proficiency with relational databases (e.g., MySQL, PostgreSQL), query optimization, indexing strategies, and ORM/query builder toolkits (e.g., Knex, Prisma).
- Distributed Systems & Infrastructure: Practical experience with containerization (Docker, Kubernetes), asynchronous messaging systems (e.g., Kafka, RabbitMQ, MQTT), and cloud native architecture (AWS/GCP).
- Commitment to Software Excellence: Passionate about test-driven practices, CI/CD automation, system observability (e.g., OpenTelemetry, Datadog), and strict security standards.
- Collaborative Leadership & Technical Ownership: Demonstrated ability to mentor junior and mid-level engineers, drive technical consensus across teams, and execute independently in complex, fast-moving environments.