Infrastructure Engineer at Roboflow

Key Skills

Aartificial intelligence, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, HIPAA, Infrastructure as code, Machine learning techniques, Planning and organization, PyTorch, TensorFlow

Job Description

What We're Looking For

Primarily, you like to make great things with passionate colleagues. You are someone that likes to own outcomes, not only inputs. You’re motivated by having responsibility and accountability. You’re eager to ‘do the work,’ big and small.

You’re curious and learning about new technologies, perhaps an early tinkerer with ChatGPT and AI products. You show more than you tell.

You’re motivated by the question, “How can I improve this?” and have a track record of doing so, even in ways adjacent to your role. Much of our current team is made up of former founders and thrive in the level of autonomy at Roboflow. Maybe you had a side hustle in high school or college.

Many Roboflowers have used our tools before joining. One of the best ways to stand out amongst other applicants is to write about something you have built with Roboflow or contribute to one of our open source projects.

What You'll Do

The focus of this role is on securing, scaling, and maintaining the infrastructure that powers our product backend, including: our cloud architecture, databases, file storage, search cluster, micro-services, and machine learning pipelines.

You'll be working alongside our existing infrastructure team along with doing cross-team work spanning product, operations and customer-facing projects and should have the ability to context switch across a wide range of infrastructure, security and systems engineering work in a fast-paced startup environment.

Skillset - some or all of the following would be helpful:

• Awareness of security best practices and tightening infrastructure for highly secure cloud operations; ideally experienced in a GDPR, ISO 27001 and/or SoC2 certification for SaaS applications

• Implement engineering security and reliability best practices in roboflow applications and infrastructure

• Infrastructure-as-code - Terraform, Kubernetes Helm charts, bash scripting and Python-based automation in production environments

• Scale - operating infrastructure for large scale applications, especially in the machine learning/AI space

• Site reliability - alerting, monitoring, scaling services in AWS and GCP clouds

• js and Python programming skills; ability to work with full-stack developers on designing, developing, and operating SaaS applications

• Experience with machine learning/big data at scale (GPU, Docker and Kubernetes)

• Experience with CI/CD automation (for example Github actions)

• Prior experience with machine learning libraries and stacks (Pytorch, Tensorflow, OpenCV, Supervision) etc. is a plus.

Examples of tasks

• Work with SoC2, HiPAA and GDPR requirements by improving security across systems and processes at Roboflow, making Roboflow audit-ready for the highest security standards in the industry

• Work with customer security teams to securely integrate Roboflow with their systems

• Develop infrastructure-as-code solutions to scale Roboflow in a cost-effective manner

• Work with the engineering team to define SLAs and SLOs, and participate in addressing security and reliability incidents across the platform

• Diving into cost optimization opportunities across the Roboflow stack

• Be part of teams designing and deploying new product features, including hands on coding in Python, Javascript and other related technologies

• Participate in on-call rotations

 Within one week, you will…

• Learn all about computer vision, our product, company, customers, and vision.

• Ship something substantial to an end user

• Start learning our infrastructure and security practices.

 Within one month, you will…

• Onboard in person with your manager

• Build your first computer vision project with Roboflow (if you haven't already)

• Start contributing to infra-as-code

• Start working with customers to help with their security questions and onboarding

• Understand the architecture of Roboflow

 Within six months, you will…

• Attend your first all company onsite

• Be ramped up on other relevant parts of the Roboflow product.

Who You'll Be Working With

Our team of ~50 attracts talent like executives that wanted to return to building, founders with a 100M+ exit, Roboflow users turned team members, open source contributors, a cyclist who biked across the United States, prolific high school hackers, a CTO from 100+ engineering organization, amongst many exceptional others.

You will directly be working with our Engineering Lead and a team of product, infrastructure and security engineers.

Where You'll Work

Roboflow is distributed across the US and Europe. We currently have Hubs in New York City and San Francisco (and plan to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources (like a $4000/yr travel stipend) to work in person with other team members as much as you'd like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!

When You'll Work

Roboflow primarily operates during the daytime hours in the US and there are some synchronous meetings you’ll be expected to attend each week. Apart from that, we have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed.

What You'll Receive

To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every 6 months to ensure we stay in line with the market.

 The target compensation for this role is $165,000 base salary.

 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:

• A $4000 Travel Stipend to travel anywhere anytime to work with alongside other Roboflowers.

• A $350 Productivity stipend to spend on things that make your work environment more productive, like high - speed internet at home or a co-working space.

• Coverage of up to 100% of your health insurance costs for you and your partner or family.

• Equity in the company so we are all invested in the future of computer vision and Roboflow.

Interview Process (~5 hours)

Below is the interview process you can expect for this role. We are all motivated to work with an exceptional team and don't currently have recruiters at Roboflow. You will be speaking directly with our team about what it's like to work and thrive at here. We like to work fast at Roboflow, so don't be surprised if all the below conversations happen over a day or two.

Before the Interview:

• We’ll review your application, LinkedIn, Github, etc.

• The best way to stand out is to write about something you’ve built with Roboflow or contribute to one of our open source projects, or highlight your contributions to devtools/infrastructure/security engineering open-source projects.

• We may send you a technical screen if applicable.

Introduction Phase:

[45m] Meet with hiring manager for introduction, Sachin Agarwal, to assess overall mindset and skillset.

• This first interview is a time to get to know more about the role, allow us to get to know you better, and ensure it's a good fit for both parties to continue moving forward in the process

Team Interview Phase:

• [45m] Meet with our CTO, Brad Dwyer

• [90m] Meet with hiring manager and team for a technical infrastructure hands-on interview

• Ask questions!

Final Interview Stage:

• [30m] Meet with Kate Wagner, Head of Operations for a culture discussion

• [60m] Meet with Joseph Nelson, CEO and Co-Founder

We check references and conduct a background check

Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can.