Senior Software Engineer
RockbotSalary not specified
- Full Time
- Senior (5 to 8 years)
$150,000 – $275,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise Software, Robotics & AutomationIndustries
Requirements
Candidates should have a strong technical background with 5+ years of experience in backend software development, focusing on building scalable and reliable cloud-deployed services. Proficiency in programming languages such as Python, Java, and/or Go is required, along with a solid understanding of distributed systems, data structures, and algorithms. Experience with cloud platforms like AWS or Google Cloud is essential, and strong communication and collaboration abilities are necessary for working in a hybrid or distributed team environment.
Responsibilities
The Senior/Staff Software Engineer will design and implement scalable and efficient backend systems to support the geospatial cloud database and control plane. They will collaborate with cross-functional teams to define requirements, identify technical solutions, and deliver high-quality software. Additionally, they will optimize the performance and reliability of the backend infrastructure through observability, continuous monitoring, troubleshooting, and improvement. Conducting code reviews and providing constructive feedback to ensure code quality and adherence to best practices is also a key responsibility.
Skills
Python
Java
Go
Distributed Systems
Data Structures
Algorithms
AWS
Google Cloud
Kubernetes
Wherobots
Geospatial data processing and analytics platform
About Wherobots
Wherobots offers a spatial intelligence cloud platform that helps clients manage and process geospatial data efficiently. Their product utilizes Apache Sedona, an open-source framework, to perform large-scale spatial data operations on cluster computing systems like Apache Spark. What sets Wherobots apart is its unified interface for all spatial data needs, allowing for seamless operations and real-time data engineering. The company's goal is to simplify the handling of spatial datasets from ingestion to delivery through a subscription model.
Phoenix, ArizonaHeadquarters
2022Year Founded
$26.3MTotal Funding
SERIES_ACompany Stage
Data & Analytics, AI & Machine LearningIndustries
11-50Employees