Senior Backend Data Engineer

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🕒 January 31

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Pendulum

11 - 50 employees

🤖 Artificial Intelligence

🔐 Security

📱 Media

Artificial Intelligence • Security • Media

Pendulum is a company that focuses on AI-powered brand and risk intelligence. Using proprietary AI technology, Pendulum gathers and analyzes vast amounts of content from over 20 online platforms, including videos, audios, images, and text, to provide organizations with real-time insights into brand discussions across multiple channels. Their solutions, such as ElectionIQ and RiskWand, are designed to assist in corporate communications, public affairs, and risk intelligence, helping government and business teams monitor and manage brand reputation and potential threats effectively. Pendulum’s platform is recognized for its excellence in threat detection and management software applications, offering automated insight generation to aid strategic decision-making in various industries, particularly during significant events like elections.

📋 Description

• Build our enterprise grade APIs: Our platform encompasses a broad spectrum of use-cases across a variety of domains. We need you to help build the APIs, backend services and data stores to empower our customers. • Ship commercial solutions: Our users have a huge job to do, at a massive scale. So, we need to build tremendous, powerful software that just works. • ML and big data in real life: Data and ML are at the core of what we do, and we are operationalizing them so that risk & intel, communications, and marketing teams at large companies and organizations can unlock their power. Doing so requires versatile, yet opinionated products - which require versatile, but opinionated engineers.

🎯 Requirements

• Strong Industry Experience: Shown a steady upward career progression in the art of Software Engineering. • Complex Architectures: Design, implement, and maintain platforms, engines, or frameworks that others consume. • Deliver APIs consumed by modern web applications with an understanding of the complexities and nuances of microservices and databases. • Distributed compute & big data: You've worked with distributed compute, and have tackled the performance challenges of large scale data. You've used serverless AWS components as building blocks like API Gateway, Lambda, Cognito, and DynamoDB. • Modern Backend Expertise: Build backend services and systems with languages like Python, Rust, or Go, and understand the complexities and nuances of CRUD, Graph API, and microservices. • CS Fundamentals: Earned at least a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent. • Collaborate closely with product and sales teams to translate complex business needs into intuitive, performant tools. • Provide technical leadership and mentorship to a small but growing engineering team, setting coding standards, guiding architectural decisions, and fostering a culture of collaboration and innovation.

🏖️ Benefits

• unlimited PTO • company (and two personal-choice) holidays • 100% employer-paid employee health premiums (50% for dependents) • 401(k) • FSA

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