Site Reliability Engineer, Doxel.ai

$160-200k

SQL
AWS
Docker
Kubernetes
Python
Airflow
Datadog
Senior level
Remote in US
Doxel.ai

AI powered project controls platform

Open for applications

Doxel.ai

AI powered project controls platform

21-100 employees

B2BArtificial IntelligenceConstruction

Open for applications

$160-200k

SQL
AWS
Docker
Kubernetes
Python
Airflow
Datadog
Senior level
Remote in US

21-100 employees

B2BArtificial IntelligenceConstruction

Company mission

To empower construction teams with artificial intelligence-backed tools to create better products, more efficiently.

Role

Who you are

  • 5+ years with experience in Python (preferred) or another FP Language
  • 5+ years of experience working in a full stack or back end focused engineering role within an agile, cloud based environment
  • Experience with Kubernetes, Docker, and Airflow
  • Experience with GCS (preferred) or AWS
  • Experience with SQL and deep database knowledge
  • Experience with automating manual processes
  • Experience with DataDog or similar monitoring tools
  • Experience developing processes with people and systems and fostering adoption of those processes
  • Bachelor’s degree in Computer Science or other technical discipline

What the job involves

  • Doxel AI is hiring a Site Reliability Engineer to join the Engineering team to focus on the robustness and performance of our systems and processes. This role will accelerate our mission to ensure every decision on a construction site is a great one
  • We are looking for our first Site Reliability Engineer (SRE) to bring a holistic approach to the reliability, availability, and performance of our systems, reducing the frequency of service disruptions and increasing the customer’s trust and delight in our product.
  • You care deeply about reliable, low-upkeep software. You bring curiosity and a can-do attitude to work, eager to dive into ambiguous problems and bring order and reliability to our systems and processes so that they can scale far beyond our current use cases
  • Build clear visibility into system performance and reliability to help identify issues before they get out of control
  • Optimize incident response processes to ensure minimal downtime for our customers
  • Build and optimize infrastructure to ensure system reliability and efficiency, allowing us to serve an increasingly large number of customers
  • Automate manual processes wherever possible to help create additional bandwidth for the Product Engineering team
  • Collaborate closely with the Product Engineering team to help drive best practices and be a champion for system reliability

Our take

With computer-vision-powered predictive analytics, Doxel.ai allows users to detect the quality of construction work as well as any issues that may need to be fixed. The software empowers teams with comprehensive information that can track a project’s progress against building information models, budgets, schedules, and pay application data.

There is a huge opportunity to improve the construction industry, as more than 90% of large projects are delivered over budget and behind schedule. While there is no shortage of analytics tools for the industry, where Doxel stands out is in "forward-thinking" insights, that pre-empt problems, rather than the backward-looking analytics of competitors.

Doxel.ai's software has been adopted by large businesses such as Kaiser Permanente and Pennsylvania Chemicals. The company is using investments to scale activity and hire additional talent as it moves to further expand its operations.

Steph headshot

Steph

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

25% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Aug 2021

$40m

SERIES B

Feb 2020

$12m

SERIES A

Total funding: $56.5m

Company benefits

  • Physical and Mental Wellness Support - Comprehensive healthcare, dental, vision benefits, disability, life insurance, and other resources
  • Vacation & Leave - Relax and recharge with Doxel’s unlimited PTO policy. The average Doxilian takes over 3 weeks of time off per year
  • Remote & Productive Work Environment - Doxel provides a generous stipend and internet reimbursement plan to help outfit your remote working space. Doxel’s culture is built to be inclusive of remote, in office, and hybrid employees

Company HQ

Menlo Park, CA

Leadership

Having studied at Stanford, and founded IFOR in 2010, they co-founded Doxel.ai as CEO in January 2018.

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