Roofstock

👥 501-1000💰 $240.0m Series E on 2022-03-10🫂 on 2023-03-22Rental PropertyPropTechMarketplaceReal EstateFinTech
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Roofstock is an online marketplace that allows investors to easily purchase leased single-family rental homes, providing research, analytics, and insights to make informed decisions.

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📍 United States

💸 $167,000 - $196,000 per year

🔍 Real estate investing

  • 5+ years as an individual contributor engineer.
  • 3+ years managing engineering teams.
  • Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
  • Strong experience building AI applications, ideally GenAI based utilizing Agents, RAG and LLMs.
  • Experience with Java, Python, distributed systems design (microservices), and data assets.
  • Ability to understand, diagnose, and effectively articulate technical challenges and solutions.
  • Deep understanding of Processes, and how to build and iterate within a high-performing team.
  • Empathy for individuals on the team, the ability to have hard conversations, demand and achieve high performance, and prioritize a culture that leads to sustained success.
  • Flexible to find ways to apply software best practices to non-deterministic solutions.

  • Build and manage an engineering team across multiple time zones/countries.
  • Cultivate high standards for communication, ownership, and quality while executing asynchronously.
  • Develop future technical leaders by fostering technical and people skills development while identifying opportunities for mentorship and training.
  • Ensure team tasks are transparent, organized, on schedule and expectations are managed.
  • Ensure team processes and documentation are adhered to and improved upon.
  • Partner with other leaders to refine and deliver on our GenAI strategy building both infrastructure for other teams/applications to utilize and zero to one point solutions.
  • Be a strong voice of clarity in a world of a growing startup, and teach your teams to function when faced with ambiguity.

LeadershipPythonSoftware DevelopmentArtificial IntelligenceJavaKerasMachine LearningPeople ManagementPyTorchCross-functional Team LeadershipTensorflowCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-10-01
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📍 Central EU or Americas

🧭 Full-Time

🔍 Real Estate Investment

  • BS or MS in a technical field: computer science, engineering or similar.
  • 5+ years technical experience working with data.
  • 5+ strong experience building scalable data services and applications using either SQL, Python, Java / Kotlin.
  • Deep understanding of microservices architecture and RESTful API development including gRPC, REST/SOAP, GraphQL.
  • Experience with AWS services including Messaging such as SQS, SNS, and familiarity with real-time data processing frameworks.
  • Significant experience building and deploying data-related infrastructure, robust data pipelines, and ETL/ELT code.
  • Strong understanding of data architecture and related problems.
  • Experience working on complex problems and distributed systems where scalability and performance are important.
  • Strong communication and interpersonal skills.
  • Independent work and effective collaboration with cross-functional teams.

  • Improve and maintain the data services platform.
  • Deliver high-quality data services promptly, ensuring data governance and integrity while meeting objectives and maintaining SLAs for data sharing across multiple products.
  • Develop effective architectures and produce key code components that contribute to the design, implementation, and maintenance of technical solutions.
  • Integrate a diverse network of third-party tools into a cohesive, scalable platform, optimizing code for enhanced scalability, performance, and readability.
  • Continuously improve system performance and reliability by diagnosing and resolving unexpected operational issues.
  • Ensure the team's work undergoes rigorous testing through repeatable, automated methods.
  • Support the data infrastructure and the rest of the data team in designing, implementing, and deploying scalable, fault-tolerant pipelines.

AWSDockerGraphQLPythonSQLAgileETLJavaKafkaKotlinSCRUMSnowflakeAirflowApache KafkaData engineeringgRPC

Posted 2024-08-10
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📍 Central EU or Americas

🧭 Full-Time

🔍 Real estate investment

  • BS or MS in a technical field: computer science, engineering or similar.
  • 8+ years technical experience working with data.
  • 5+ years strong experience building scalable data services and applications using SQL, Python, Java/Kotlin.
  • Deep understanding of microservices architecture and RESTful API development.
  • Experience with AWS services including messaging and familiarity with real-time data processing frameworks.
  • Significant experience building and deploying data-related infrastructure and robust data pipelines.
  • Strong understanding of data architecture and related challenges.
  • Experience with complex problems and distributed systems focusing on scalability and performance.
  • Strong communication and interpersonal skills.
  • Independent worker able to collaborate with cross-functional teams.

  • Improve and maintain the data services platform.
  • Deliver high-quality data services promptly, ensuring data governance and integrity while meeting objectives and maintaining SLAs.
  • Develop effective architectures and produce key code components contributing to technical solutions.
  • Integrate a diverse network of third-party tools into a cohesive, scalable platform.
  • Continuously enhance system performance and reliability by diagnosing and resolving operational issues.
  • Ensure rigorous testing of the team's work through automated methods.
  • Support data infrastructure and collaborate with the data team on scalable data pipelines.
  • Work within an Agile/Scrum framework with cross-functional teams to deliver value.
  • Influence the enterprise data platform architecture and standards.

AWSDockerPythonSQLAgileETLSCRUMSnowflakeAirflowData engineeringgRPCRESTful APIsMicroservices

Posted 2024-08-10
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