**Back End Engineer** **Location:** This role offers the flexibility of being hybrid or home-based for qualified candidates in the United States. Preferably located in/near Philadelphia. **Position Summary:** Develop and support AI pipelines with computer vision ML-derived geospatial assets leveraging Kubernetes cloud services in GCP and Azure. Massive data ingestion pipelines to ensure a continuous and reliable flow of image/video/GIS data into cloud-based datastores. Massive geospatial asset curation, management, and conversion to WFS\WMS\glTF\3DTile open standards leveraging off-the-shelf 3D\GIS datastores and services including CesiumJS\PostGIS\Geoserver\Geomesa\ArcGIS Pro. **Requirements** : + BS in computer science or equivalent degree + **At least 5 years’ experience as a software engineer with specific experience in data engineering. At least 3 years leveraging DevOps practices with an active cloud product: infrastructure as code\automation\monitoring of dev\QA\prod environments, security\compliance, and performance optimization** + **Experience with C#, Typescript, JavaScript, Python** + **Understanding of Kubernetes and deployment of distributed data pipelines include key concerns with building distributed data pipelines such as concurrency, idempotent operation, and consistency models** + Experience architecting and implementing cloud-native distributed systems with a focus on data pipelines handling 10s to 100s of TB of data per month + Experience integrating with 3rd party APIs with varied structures and building\maintaining RESTful APIs (.NET Core, FastAPI) to enable seamless access to data for internal teams and external consumers, ensuring high availability and security. + Workflow Orchestration: Implement and manage data workflows using Apache Airflow\Google Cloud Composer\Azure Data Factory to automate, schedule, and monitor data pipelines, ensuring efficient data processing and timely delivery. + Data Storage and Management: Architect and manage scalable and efficient cloud data storage solutions. Experience with open-source and cloud-native databases and data stores such as Postgres, Bigtable, and Google Cloud Storage + Data Integration: Work closely with data scientists, operational analysts, and other stakeholders to integrate data from various sources, including video/GIS, ensuring data consistency, quality, and reliability. + Collaboration: Work closely with the Data Science and Operations teams to understand data requirements. Ideally some experience with aspects of machine learning such as curation of training data, and pipelines including ML inference. + Documentation: Maintain comprehensive documentation of data engineering processes, architectures, and best practices to facilitate knowledge sharing and onboarding. + This position does not require travel. + Requires sitting or standing at will while performing work on a computer (or any other physical requirements (https://www.bls.gov/ors/factsheet/visual-overview-of-physical-demands.htm) ). **What We Offer:** + A great Team and culture – please see our recruitment video . + An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction. + Competitive Salary and benefits. + The opportunity to work within a global and diverse international team. + A supportive and collaborative environment. + Colleague Recognition Awards. **About Bentley Systems** Bentley Systems (Nasdaq: BSY) is the _infrastructure engineering software_ company. We provide innovative software to advance the world’s infrastructure – sustaining both the global economy and environment. Our industry-leading software solutions are used by professionals, and organizations of every size, for the design, construction, and operations of roads and bridges, rail and transit, water and wastewater, public works and utilities, buildings and campuses, mining, and industrial facilities. Our offerings, powered by the _iTwin_ Platform for infrastructure digital twins, include _MicroStation_ and _Bentley Open_ applications for modeling and simulation, _Seequent’s_ software for geoprofessionals, and _Bentley Infrastructure Cloud_ encompassing _ProjectWise_ for project delivery, _SYNCHRO_ for construction management, and _AssetWise_ for asset operations. Bentley Systems’ 5,200 colleagues generate annual revenues of more than $1 billion in 194 countries. www.bentley.com **Equal Opportunity Employer:** Bentley is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, sex, sexual orientation, gender identity, disability, pregnancy, protected veteran status, religion, national origin, age, genetic information or any other protected characteristic. This commitment extends to all aspects of employment, including, but not limited to, hiring, placement, promotion, compensation, and training. Know Your Rights (https://www.dol.gov/agencies/ofccp/posters) as an applicant under the law. Bentley Policy on EEO, Affirmative Action and Pay Transparency Non-Discrimination (https://www.bentley.com/wp-content/uploads/Bentley-EEOAA-Statement-of-Policy.pdf) Bentley participates in e-Verify / Bentley participate in e-Verify / Right to Work Notice **Request an Accommodation:** As an Equal Opportunity Employer, Bentley is committed to providing reasonable accommodations to applicants with disabilities. We encourage you to request a reasonable accommodation if you are not able to fully use or access our online application system. You can make an accommodation request by calling 610-458-5000 or sending us an email at disabilityrequest@bentley.com Equal Opportunity Employer/Minorities/Females/Veterans/Disabled