Top Tech Jobs & Startup Jobs

Lead reliability, security, and strategic evolution of Wi-Tronix's technology infrastructure. Drive cloud-native transformation and FinOps, build a 24/7 cybersecurity program, govern enterprise AI adoption, manage IT operations, vendors, and budget, and oversee network and mobile communications for mission-critical rail and field systems. Serve as a strategic technology partner to the business.

Administer, optimize, and secure enterprise databases (PostgreSQL, SQL Server); manage backups, HA, monitoring, and disaster recovery; troubleshoot and tune queries; support MySQL→PostgreSQL migration; maintain on‑prem and AWS RDS environments; build reports/integrations (SSIS/SSRS); partner with devs on data models; participate in on‑call rotation and field research.

Design, build, and maintain production-grade data ingestion, processing, labeling, and validation pipelines for structured and unstructured data (time-series, image, video). Automate workflows, implement data quality checks and observability, manage dataset versioning and lineage, and collaborate with engineering and AI teams to support ML model training, deployment, and CI/CD workflows.

Support a product team to turn strategy into scoped work, maintain backlog, refine stories, run discovery and customer research, instrument KPIs, track metrics post-launch, and communicate progress. Enable delivery clarity, manage dependencies and field research to improve rail-focused SaaS products.

Own the full lifecycle of deep learning models for locomotive edge deployment: design and train computer vision and time-series models, build labeling and training pipelines, optimize models with PyTorch, TensorRT, and ONNX, create APIs and automated tests, and collaborate with ML/data engineers and product teams to deploy and monitor models in production.

Design, develop, test, and ship scalable C#/.NET backend services, APIs, and data pipelines supporting real-time rail operations. Collaborate with Product and Design in cross-functional teams, follow CI/CD and SAFe practices, maintain documentation, perform root cause analysis, and use AI-assisted tools to produce high-quality, well-tested code.