Back-end Engineer

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise Software, AI & Machine LearningIndustries

Requirements

Candidates should have experience building large-scale web applications and expertise in Javascript/Typescript, Python, Go, or C++. Proficiency with databases, particularly Postgres, and experience using cloud services to build and deploy reliable applications is required. Knowledge of writing extensible APIs, services, and graph-based abstractions like GraphQL is also essential.

Responsibilities

The Back-end Engineer will build containerized cloud services that power the core platform and 3rd party integrations. They will work across the entire stack, including frontend, backend, infrastructure, and data engineering to deliver the core platform. The role involves developing robust and secure 3rd party integrations and internal APIs, as well as managing core infrastructure to ensure optimal performance and cost efficiency.

Skills

Javascript

Typescript

Python

C++

Postgres

Docker

CloudRun

Cloud SQL

GraphQL

CI/CD

API Development

Doss

AI-driven enterprise software for operations

About Doss

Doss offers the Doss Adaptive Resource Platform (ARP), which combines traditional Enterprise Resource Planning (ERP) systems with artificial intelligence (AI) and machine learning (ML) to help mid-sized to large enterprises streamline their operations. The platform is designed for industries like retail, manufacturing, and logistics, allowing for efficient inventory management and seamless integration with existing systems. Doss stands out by providing a much faster onboarding process compared to traditional ERP systems, which can take up to 18 months to implement. The company operates on a subscription model, offering unlimited users and features for a monthly fee, aiming to enhance operational efficiency and support business growth.

San Francisco, CA, USAHeadquarters

2022Year Founded

VENTURE_UNKNOWNCompany Stage

Enterprise Software, AI & Machine LearningIndustries

11-50Employees

Risks

Competition from established ERP providers integrating AI and ML features.

Potential customer resistance to transitioning from traditional ERP systems.

Economic downturns may affect subscription renewals and new acquisitions.

Differentiation

Doss offers a quicker onboarding process than traditional ERP systems.

The platform integrates AI and ML for enhanced operational efficiency.

Doss provides a cost-effective subscription model with unlimited users.

Upsides

Growing demand for AI-driven ERP solutions boosts Doss's market potential.

Subscription-based models offer predictable costs and scalability for clients.

Self-service onboarding reduces implementation time and costs for businesses.

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