Jobs at Viaduct

Build and maintain backend services, web and mobile applications, developer tooling, and microservices deployed through Kubernetes. Design software architectures, estimate feature work, implement monitoring and CI, and collaborate with product and design teams to deliver accessible customer-facing interfaces. The role also involves mentoring or technical leadership, security-conscious development, and supporting services from development through production monitoring.

Build and support batch, incremental, and real-time ETL pipelines for connected vehicle data. Standardize ingestion, validation, and cleaning; automate data-quality checks; manage schemas; and monitor and optimize Spark jobs. The role requires close collaboration with machine learning and data science teams, distributed-systems expertise, and attention to security and privacy.

Build and maintain backend microservices, developer tools, frameworks, and deployment environments. Design service architectures, estimate feature delivery, deploy and monitor services through Kubernetes, implement analytics and monitoring, and configure CI pipelines. Collaborate with product teams to align technical designs with customer needs while emphasizing simplicity, maintainability, security, and privacy. The role also involves technical leadership or mentorship and ownership of Docker-based deployments.

Develop machine learning models and data science products for an AI-powered asset performance platform. Responsibilities include statistical analysis, building and deploying ML and agentic pipelines, working with distributed datasets and cloud platforms, collaborating with engineers and customers, presenting technical insights, and maintaining data science-backed product features while following security and privacy practices.

Conduct outbound prospecting through phone, email, LinkedIn, and multichannel sequences; research target accounts; qualify leads; book discovery meetings; maintain CRM and pipeline data; support conferences and trade shows; collaborate with marketing; and meet activity and pipeline goals. The role includes hands-on training and mentorship with a path toward a closing sales position.

Build and deploy production data science, machine learning, LLM, and agentic solutions for manufacturing and business processes. Responsibilities include framing ambiguous problems, analyzing data, quantifying business impact, developing models and pipelines, deploying and maintaining solutions, collaborating with stakeholders and engineers, and communicating recommendations and outcomes to technical and nontechnical audiences.

Build and maintain production-grade backend systems and infrastructure for deployed AI use cases at manufacturer sites. Own projects end-to-end, write scalable services, query and process data, deploy cloud/edge infra, mentor engineers, and follow security and privacy practices.

As a Data Engineer, you'll create and support ETL pipelines, ensure data quality, manage schemas, and optimize Spark jobs, collaborating closely with ML teams.

Lead customer engagements and analytics projects to ensure clients maximize solutions' value. Collaborate with teams for continuous improvement and manage project delivery. Build strong customer relationships and communicate data insights effectively.