Senior Software Engineer I

Disclaimer: Beware of Recruitment Scams – Legitimate Cvent recruiting communications will always come from an official '[HIDDEN TEXT]' email. We never request any payments or ask for sensitive personal or financial information via chat or social media platforms. For more information, please visit: https://www.cvent.com/en/notice-recruitment-fraud

Goldcast (a Cvent company) is an AI-powered B2B Video Content Platform that enables marketers to put video content at the heart of the customer journey. We're building a browser-based, frame-accurate video editor that rivals desktop apps, using cutting-edge tech like WebCodecs, WASM, and Remotion.

Founded in mid-2020 at Harvard Business School, we have 400+ customers across tech, professional services, manufacturing, and finance to deliver engaging video content & digital events.

AI at Cvent: Leading the Future

Are you ready to shape the future of work at the intersection of human expertise and AI innovation At Cvent, we're committed to continuous learning and adaptation—AI isn't just a tool for us, it's part of our DNA. We're looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly, share your discoveries, and help define best practices for AI-augmented work, you'll thrive here. Our team values professionals who thoughtfully integrate AI into their daily work, delivering exceptional results while relying on the human judgment and creativity that drive real innovation.

Throughout our interview process, you'll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you're excited to be part of a team that's leading the way in AI-powered collaboration, we'd love to meet you.

Role Overview

We're seeking a Senior Software Engineer to join our Recording Studio team. You will be responsible for leading the development of high-performance, scalable backend systems that power Goldcast's recording and video processing platform.

The ideal candidate will drive technical excellence, make strong architectural decisions within their project scope, and help improve the reliability, scalability, and performance of our recording and media processing infrastructure.

In this role, you'll lead and deliver complex backend features involving multiple engineers, taking work from definition through design, implementation, testing, and production rollout. You will collaborate closely with product, design, QA, and SRE, and contribute to the reliability and performance of our production systems.

You'll work on initiatives across the Recording Studio surface area, such as improving recording session management, enhancing media ingestion and processing pipelines, optimizing HLS generation and trimming workflows, and strengthening integrations with Content Lab and Video Library.

In This Role, You Will:

• Lead and deliver complex backend features end-to-end as the feature lead
• Break down ambiguous backend and distributed systems problems into clear milestones and execution plans
• Participate in system design and write clear, pragmatic design docs
• Build and maintain backend services for recording session lifecycle, media ingestion, and asset processing
• Design and optimize video processing workflows, including chunk management, transcoding, and publishing
• Improve system observability, reliability, and failure recovery mechanisms
• Debug issues across services, storage systems, and processing pipelines, and drive fixes through to resolution
• Contribute to code reviews and team engineering practices
• Participate in the on-call rotation and help improve production reliability over time

Requirements:

• Bachelor's or Master's degree in Computer Science or related field from a top-tier institution (IITs, NITs, BITs, or equivalent).
• 6+ years of professional software engineering experience
• Strong fundamentals in data structures, algorithms, and system design
• Experience building and operating scalable backend systems in production
• Ability to lead medium-to-large features with ambiguity and drive them to completion
• Experience working with distributed systems and asynchronous processing
• Familiarity with cloud environments (AWS preferred)
• Experience with object storage systems (e.g., S3) and large file processing
• Experience with message queues or event-driven architectures
• Experience with video processing, HLS streams, or media pipelines is a strong plus
• Strong debugging skills and experience handling production incidents

Skills Required
S3, System Design, Distributed Systems, Video Processing, Algorithms, Aws, Data Structures