Principal Software Engineer - Backend

Skip to main content Principal Software Engineer - Backend DeepHow United States Apply Principal Software Engineer - Backend DeepHow United States 2 weeks ago Over 200 applicants See who DeepHow has hired for this role Apply Save Report this job DeepHow provided pay range This range is provided by DeepHow. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $140,000.00/yr - $180,000.00/yr Direct message the job poster from DeepHow Vivek Karuppuswamy Vivek Karuppuswamy CHRO l HR Executive | Industrial & Tech | Private Equity & Growth-Stage | Scaling & Transformation Principal Software Engineer – BackendEmployment Type: Full-TimeLocation: Remote (Preferred: Dallas, TX)About DeepHowDeepHow is a Physical AI platform serving industrial manufacturing, pharmaceuticals, and utilities. The platform enables organizations to capture expert knowledge, transform it into dynamic work instructions, and drive verified execution across frontline operations.DeepHow's platform combines:Knowledge capture and sharingAI-powered verification through Smart Compare and photo/video validationGuided workflows and SOP adherenceTime and motion intelligenceReal-time execution visibilityBy connecting knowledge capture with verified execution, DeepHow helps organizations improve operational efficiency, workforce productivity, and process compliance.Position OverviewWe are seeking an experienced Principal Software Engineer – Backend to lead the architecture, development, and optimization of our backend systems. This role is ideal for a highly technical leader who thrives in fast-paced startup environments and has a proven track record of building scalable, cloud-native SaaS platforms.You will play a critical role in shaping our technical direction, mentoring engineers, and delivering high-quality solutions that support AI-powered products and large-scale data-intensive applications.Key ResponsibilitiesLead the architecture, design, development, and optimization of scalable, high-performance backend systems that support business growth and product innovation.Define technical roadmaps, architectural standards, and engineering best practices while providing technical leadership and mentorship to development teams.Develop and maintain backend applications, APIs, microservices, and automation solutions using Node.js and Python.Design, deploy, and manage cloud-native infrastructure on Google Cloud Platform (GCP), including BigQuery, Cloud Run, Cloud Functions, App Engine, Compute Engine, and Google Kubernetes Engine (GKE).Implement and manage Infrastructure as Code (IaC) using Terraform and Helm to ensure scalable and repeatable deployments.Build and maintain observability frameworks, including monitoring, logging, tracing, and alerting using tools such as Datadog, New Relic, and Google Cloud Monitoring.Monitor and optimize production machine learning workloads, including model performance, operational health, and data drift detection.Design and manage scalable data architectures using PostgreSQL, MongoDB, Redis, and Firestore, while developing large-scale data pipelines and supporting dataset versioning practices with tools such as DVC...