Staff Software Engineer

Lytx•San Diego, CA

2d•Hybrid

About The Position

Lead the architectural direction for large-scale distributed systems processing data from 1M+ connected devices. Help drive technical decision-making across multiple engineering teams, establishing best practices and security-first development approaches. Design and implement highly scalable microservices architecture using cloud-native technologies. Guide the evolution of our platform to support next-generation AI-powered fleet management solutions. Rapidly prototype, deploy, and test innovative solutions using modern cloud technologies such as, AWS EKS, Lambda, DynamoDB. Build fault-tolerant, high-performance systems with 99.99% availability requirements. Implement event-driven architectures and real-time data processing pipelines using technologies such as Kafka and SQS. Integrate AI/ML capabilities into existing workflows and decision-making processes. Mentor distributed engineering teams across multiple time zones, improving team velocity and code quality. Work directly with Product Management, IT, and Operations to define, test, and productize solutions that enhance market position. Collaborate with cross-functional teams using Agile methodologies. Drive adoption of modern development practices including CI/CD, automated testing, and observability.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or a related field
Ten (10) years of experience in the job offered, or as a Senior Application Specialist, Staff Engineer, Senior Staff Engineer, Principal Software Developer or an acceptable alternate occupation.
Ten (10) years of experience with Enterprise software engineering experience building scalable web applications and distributed systems that handle 100K + concurrent users or drives
C# programming skills and experience with the .NET ecosystem, including ASP.NET Core Framework
Angular 12+ or higher, TypeScript or JavaScript, and Python (for automation and data processing)
Object-oriented design patterns, enterprise architecture patterns, distributed systems design, high-availability system architecture, and scalable system design (100K concurrent users)
Development practices, including RESTFUL API design and development, Microservices architecture, Test-Driven Development (TDD), CI/CD pipeline implementation, static code analysis, and unit testing framework.
Eight (8) years of experience with Database Technologies, including SQL and NoSQL database management, and expert knowledge of Database design and optimization.
Five (5) years of experience with Cloud Technologies, including Amazon Web Services (AWS)
Experience with application monitoring solutions, logging and tracking systems, performance monitoring, and system observability implementation.
Three (3) years of experience with Distributed Systems and Messaging, including Apache Kafka, RabbitMQ, and real-time data streaming using Apache Flink
Three (3) years of experience with Container & Orchestration, such as Kubernetes
Three (3) years of experience with Infrastructure as Code, Continuous Integration or Continuous Deployment, Automated testing frameworks, and cloud infrastructure management.

Responsibilities

Lead the architectural direction for large-scale distributed systems processing data from 1M+ connected devices.
Drive technical decision-making across multiple engineering teams, establishing best practices and security-first development approaches.
Design and implement highly scalable microservices architecture using cloud-native technologies.
Guide the evolution of our platform to support next-generation AI-powered fleet management solutions.
Rapidly prototype, deploy, and test innovative solutions using modern cloud technologies such as, AWS EKS, Lambda, DynamoDB.
Build fault-tolerant, high-performance systems with 99.99% availability requirements.
Implement event-driven architectures and real-time data processing pipelines using technologies such as Kafka and SQS.
Integrate AI/ML capabilities into existing workflows and decision-making processes.
Mentor distributed engineering teams across multiple time zones, improving team velocity and code quality.
Work directly with Product Management, IT, and Operations to define, test, and productize solutions that enhance market position.
Collaborate with cross-functional teams using Agile methodologies.
Drive adoption of modern development practices including CI/CD, automated testing, and observability.