Principal Software Engineer - Backend

DeepHow is a Physical AI platform serving industrial manufacturing, pharmaceuticals, and utilities. They are seeking an experienced Principal Software Engineer – Backend to lead the architecture, development, and optimization of their backend systems, playing a critical role in shaping technical direction and mentoring engineers.

Responsibilities:

• Lead 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 and LakeFS
• Deploy, manage, and optimize containerized applications using Docker and Kubernetes (GKE), including multi-tenant architectures, RBAC, namespace isolation, and resource management
• Design secure cloud networking solutions involving VPCs, load balancers, and network security controls while implementing secure authentication and authorization using OAuth and SAML
• Establish and maintain infrastructure security best practices, including encryption, secrets management, service account governance, and credential rotation
• Build and enhance CI/CD pipelines using Jenkins and support GitOps workflows with tools such as ArgoCD and Flux
• Improve application performance, scalability, reliability, and fault tolerance while implementing asynchronous processing frameworks such as Temporal and Celery
• Integrate ML frameworks, model lifecycle tools, and model-serving platforms, including PyTorch, Ray, Hugging Face, MLflow, Weights & Biases, BentoML, Triton, and TorchServe, within scalable Kubernetes environments

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline
• Equivalent practical experience will also be considered
• 10+ years of backend software engineering experience
• Proven track record of designing, building, and scaling production-grade systems
• Prior experience in a SaaS company is required
• Strong experience in cloud-native environments and distributed systems
• Previous experience in a Principal Engineer role with ownership of architecture and system design
• Previous experience in a Staff Engineer role with ownership of architecture and system design
• Previous experience in a Senior Lead Engineer role with ownership of architecture and system design
• Demonstrated success leading complex technical initiatives and mentoring engineering teams
• Experience working in startup or high-growth environments is strongly preferred