INRIX, Inc. is hiring: Software Development & Network Engineer in Bellevue
INRIX, Inc., Bellevue, WA, United States
Software Development & Network Engineer:
Design and implement secure network topologies, VPNs, and firewalls to support cloud-based microservices and internal applications.
Monitor, optimize, and troubleshoot network performance issues, ensuring data delivery meets SLA and latency requirements.
Help provide real-time traffic speeds, volumes, and other live data services to customers through scalable, low-latency network and application architectures.
Design, develop, and maintain backend services, APIs, and distributed systems that ensure high data availability and network reliability across multiple regions.
Work independently in Python, Java, and JavaScript codebases — translating product goals into production-quality implementations with robust documentation and automated tests.
Architect and maintain CI/CD pipelines and infrastructure-as-code setups (using Terraform, AWS, Kubernetes, Docker, and GitHub Actions) to support continuous deployment and system reliability.
Develop tools and scripts to automate network provisioning, monitoring, and configuration management.
Design and develop a large language model (LLM)-powered chatbot to answer transportation-related inquiries and provide insights on road safety.
Leverage LangChain and Retrieval-Augmented Generation (RAG) to combine internal data with user input, optimizing performance through prompt engineering and LLM-driven automation.
Maintain and extend chatbot functionality based on customer feedback and analytics.
Design the architecture for a Flyte-based ML pipeline to predict vehicle volume data, collaborating closely with data scientists on model orchestration and data delivery.
Modify and enhance backend services to deliver traffic and volume data to customers through resilient, high-throughput APIs.
Lead the data architecture design for Japan expansion, implementing an ETL pipeline to ingest, normalize, and automate delivery of data from external APIs.
Integrate network monitoring and alerting tools (e.g., CloudWatch, Prometheus, Grafana) to ensure system uptime and data integrity.
Collaborate with cross-functional teams including data scientists, network operations, and product managers to deliver reliable, high-impact solutions from prototype to production.
Participate in code reviews, sprint planning, and team discussions to uphold software engineering and network security best practices.
Build and maintain technologies including Python, Java, JavaScript, FastAPI, AWS, SQL/NoSQL databases, Spark, Kubernetes, Docker, Terraform, and GitHub Actions, as well as networking fundamentals (TCP/IP, DNS, load balancing, routing, and VPNs).
Salary: $138,986/year.
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Design and implement secure network topologies, VPNs, and firewalls to support cloud-based microservices and internal applications.
Monitor, optimize, and troubleshoot network performance issues, ensuring data delivery meets SLA and latency requirements.
Help provide real-time traffic speeds, volumes, and other live data services to customers through scalable, low-latency network and application architectures.
Design, develop, and maintain backend services, APIs, and distributed systems that ensure high data availability and network reliability across multiple regions.
Work independently in Python, Java, and JavaScript codebases — translating product goals into production-quality implementations with robust documentation and automated tests.
Architect and maintain CI/CD pipelines and infrastructure-as-code setups (using Terraform, AWS, Kubernetes, Docker, and GitHub Actions) to support continuous deployment and system reliability.
Develop tools and scripts to automate network provisioning, monitoring, and configuration management.
Design and develop a large language model (LLM)-powered chatbot to answer transportation-related inquiries and provide insights on road safety.
Leverage LangChain and Retrieval-Augmented Generation (RAG) to combine internal data with user input, optimizing performance through prompt engineering and LLM-driven automation.
Maintain and extend chatbot functionality based on customer feedback and analytics.
Design the architecture for a Flyte-based ML pipeline to predict vehicle volume data, collaborating closely with data scientists on model orchestration and data delivery.
Modify and enhance backend services to deliver traffic and volume data to customers through resilient, high-throughput APIs.
Lead the data architecture design for Japan expansion, implementing an ETL pipeline to ingest, normalize, and automate delivery of data from external APIs.
Integrate network monitoring and alerting tools (e.g., CloudWatch, Prometheus, Grafana) to ensure system uptime and data integrity.
Collaborate with cross-functional teams including data scientists, network operations, and product managers to deliver reliable, high-impact solutions from prototype to production.
Participate in code reviews, sprint planning, and team discussions to uphold software engineering and network security best practices.
Build and maintain technologies including Python, Java, JavaScript, FastAPI, AWS, SQL/NoSQL databases, Spark, Kubernetes, Docker, Terraform, and GitHub Actions, as well as networking fundamentals (TCP/IP, DNS, load balancing, routing, and VPNs).
Salary: $138,986/year.
#J-18808-Ljbffr