CloudTrucks

Software Engineer - Platform and Infrastructure (Mid-Level or Higher)

San Francisco, CA
USD 175k - 235k
Docker GCP Django Python PostgreSQL Redis Terraform
Description

The trucking industry is the backbone of the global economy. Roughly 70% of what we consume  in the U.S. is moved by trucks. Those trucks are powered by over 3.5 million drivers per year and  create over $700B in annual revenue. Trucking is a massive industry but it is a traditional industry and like many traditional industries, it is ripe for innovation. CloudTrucks is building the operating system for trucking and is the first platform specifically designed to empower truck drivers. Our all-in-one, “business in a box” solution provides simplicity, optimizes and automates operations, and accelerates cash-flow for drivers, so they can focus on building their business.

Our product development teams tackle a broad range of complex challenges across many domains: from geolocation and logistics route optimizations, to IOT and SaaS integrations, to fintech products, to AI/ML products for up-leveling our customers businesses. We are looking for strong engineers to build and scale the platform and infrastructure for CloudTrucks. Our customers are out on the road, across the country, using our services 24/7. We can't afford to have downtime because their businesses depend on us!

As a platform infrastructure engineer, you will design, build, and maintain our infrastructure as well as provide production quality software, platform services, and automation that help the rest of engineering operate more effectively and reliably. Product engineering teams are your primary customers. You will report directly to the CTO and have the autonomy and opportunity to provide technical leadership and direction and make decisions that have a significant impact for all engineers at CloudTrucks.

Responsibilities

  • Lead development and write production code for lower level core services that can be leveraged by every developer at the company. e.g. Django or python libraries.

  • From dev environment to CI/CD, provide automation and services that help product engineers ship code safer and faster.

  • Design, build and operate a highly available, and resilient infrastructure that scales with CloudTrucks growth. Some technologies we use today are: Python / Django, Postgres, Redis, Terraform, Docker, Google Cloud Platform.

  • Help product engineers troubleshoot and debug urgent site issues across services and stacks.

  • Implement policies and best practices to keep our platform and infrastructure secure.

  • Interface and problem solve with other engineering teams to identify pain points and help move the business forward.

Example projects may include:

  • Build a structured logging + monitoring pipeline that integrates and consumes logs from our python applications.

  • Build tools, introduce guardrails, and automation for zero downtime database migrations and deployments.

  • Improve the local docker dev environment for easier setup and to be more performant.

  • Introduce release toggling and feature flagging capabilities that can be leveraged by product engineering teams.

  • Ensure CI / CD workflows continue to scale with our growing engineering team. E.g. enable test parallelization, report coverage, utilize caching, etc.

Requirements

  • 4+ years of relevant industry experience and a track record of successful execution on production systems.

  • Comfortable writing production quality code and making framework level contributions to our core backend services (in Python + Django).

  • Self-motivated and comfortable operating in a dynamic environment with minimal direction and high autonomy.

  • Strong written and verbal communication skills. Including the ability to draft and articulate technical and system design requirements.

  • Collaborates well with different stakeholders.

  • Broad knowledge of web technologies, systems design, and infrastructure stack.

  • Proficiency with Unix/Linux, docker containers, infrastructure as code, scripting and application programming languages.

  • Experience with relational and non-relational databases.

  • Experience with running highly available distributed systems on a cloud platform.

Nice to haves:

  • Experience with Django.

  • Experience with our technical stack: Python, Postgres, Redis, Terraform, Docker, Google Cloud Platform.

A bit about our culture

We value high autonomy, ownership, and delivering results - in short - whatever it takes to set our customers up for success. We encourage each other to push the envelope, execute quickly, and be resilient to failure. We also work occasional late nights or weekends to deliver an above-and-beyond customer experience, while respecting and celebrating each other's personal background, values and commitments. In return, we are well compensated, take pride in seeing outsized impact to our product, and have memorable experiences learning and growing alongside a truly exceptional set of peers.

About CloudTrucks

CloudTrucks is a virtual trucking carrier in the multi-billion dollar trucking space. Core to this industry are over 3.5M truck drivers. They move more than 70% of all goods transported around the U.S., yet operate in a highly fragmented industry with huge opportunities for products, services and automation. We strive to deliver solutions that help truck drivers operate with much greater efficiency, increase their revenue, and offload business complexity. We are looking for uniquely exceptional people to join us on our journey as we massively scale into an industry-defining business.

We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

CloudTrucks
CloudTrucks
Consumer Electronics Electronics Lighting Apps Artificial Intelligence (AI) Freight Service Logistics Shipping Transportation

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