- Take complete, end to end ownership of development and production pipelines of internal tools and consumer-facing products.
- Ensure high performance, reliability, and availability of hosted deep learning and geoprocessing services.
- Translate high-level tasks and product requirement documents into technical design documents and scalable, maintainable and readable codebases
- Develop and implement high and low-level system design for newer projects
- Develop scripts and set up the infrastructure for monitoring and logging for all deployed software
- Evaluate, profile and improve the functionality of existing systems
- Coordinate with internal teams to understand data processing pipelines and provide technical solutions
- Effectively lead teams of junior developers and ensure high code quality through code reviews, automated linting, etc.
- 5 years of work experience comprising of Backend (preferably Django), Frontend and Software Design/Architecture • Knowledge of messaging services like Apache Kafka, RabbitMQ
- Bachelor’s degree in Engineering from a Tier-1 institute preferred.
- Experience in developing data processing pipelines
- Experience in distributed web services development and chaining
- Internally motivated, able to work proficiently both independently and in a team environment
- Understanding of cloud services like AWS and GCP
- Experience with DevOps technologies such as Docker, Kubernetes, Jenkins, CI/CD, etc Good To Haves
- Experience with PostGIS or any other geo-database
- Experience in developing production versions of deep learning applications
- Understanding of Geographic Information Systems and related terminologies is preferred
- Experience working in both start-up and enterprise culture
Skills Required
- At least 5 years of work experience in backend development, preferably Django, along with frontend development and software design or architecture
- Knowledge of messaging services such as Apache Kafka or RabbitMQ
- Experience developing data processing pipelines
- Experience developing and chaining distributed web services
- Bachelor’s degree in Engineering from a Tier-1 institute
- Understanding of cloud services such as AWS and GCP
- Experience with DevOps technologies such as Docker, Kubernetes, Jenkins, and CI/CD
- Experience with PostGIS or another geodatabase
- Experience developing production versions of deep learning applications
- Understanding of Geographic Information Systems and related terminology
- Experience working in both startup and enterprise environments
- Ability to work independently and collaboratively in a team environment
What We Do
Attentive.ai is the #1 landscape management software provider with end-to-end automation for all field services businesses across the landscaping, asphalt and paving, facilities maintenance, and snow removal industry. Our software- powered by cutting-edge Artificial Intelligence (AI), is designed to optimize your workflows and help you scale effortlessly. Our property measurement software, Automeasure, caters to landscaping maintenance and construction, paving maintenance and construction, facilities maintenance, and snow removal businesses. Automate your takeoffs on up-to-date aerial imagery and blueprints, helping sales teams save time, bid more, and win more. Our landscape management software, Accelerate, arms you with a truly end-to-end solution for all commercial landscape maintenance and construction jobs through automated workflows. Over 500 businesses across the field services industry—landscaping, snow management, paving maintenance, construction, and facilities maintenance industries in the US and Canada trust Attentive.ai to drive their revenue. This includes the most successful sales teams, like those at U.S. Lawns, Juniper Landscaping, Maldonado Nursery & Landscaping, United Land Services, Elements Mountain Company, Beary Landscaping, Paved Assets, East Coast Facilities, BrightView, Case Snow, and LandCare. Backed by marquee investors, including Sequoia Surge and InfoEdge Ventures, we are building to solve the biggest challenges facing the outdoor services businesses.
