Senior Full Stack Engineer, Backend Engineering

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Opus Clip is the world's No.1 AI video agent, built for authenticity on social media.

We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used Opus Clip to enhance their social presence.

We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including Soft Bank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (Saa Str), Samsung Next, GTMfund, Alumni Ventures, and many more.

Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024.

Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values:

• Be a Champion Team
• Prioritize Ruthlessly
• Ship fast, Quality Follows
• Obsess over customers

Be a part of this exciting journey with us!

The Mission

We’re building one of the world’s largest AI video clipper. Having solved the "long-to-short clipping" challenge, we’re now tackling the "magic quality" challenge: elevating AI quality and taste to match top editors, producers, and professional creative teams. We’re also streamlining workflows by deeply examining content selection, video production, and post-production editing best practices while reinforcing our data flywheel. You’ll join the team to push our product beyond its current limits.

Responsibilities

• Architect Dedicated Processing Environments

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Design and implement high-throughput, isolated processing clusters for Enterprise clients. Build the "paved road" for strict tenant isolation and High Availability (HA) without noisy neighbor interference.

• Scale Core Infrastructure

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Drive improvements across our Temporal workflow clusters and production Kubernetes environments, implementing scaling strategies that support both self-serve consumers and high-touch Enterprise contracts.

• Build the AI Serving Layer

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Bridge engineering and research by collaborating with the AI/ML team to transform experimental models into scalable, production-ready services. Own the infrastructure that connects model outputs to user-facing features with minimal latency.

• Implement Semantic Search at Scale

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Build and operate high-dimensional vector database infrastructure (Milvus) to power "Opus Search". Enable users to find exact moments across thousands of hours of video using natural language.

• Enterprise Readiness

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Architect the backend systems (bulk workflow orchestration, resource isolation, multi-tenancy) that enable large media houses to manage massive video archives.

Who You Are

• Infrastructure-Minded Product Engineer

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You care about why features exist and how they scale. You think in terms of throughput, isolation, and failure modes, but always in service of the user experience.

• Systems Builder

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You’re experienced in building backend systems, designing APIs, orchestrating distributed workflows, tuning databases, and optimizing compute. You’re comfortable debugging Kubernetes internals, Temporal workflow logic, and async processing pipelines.

• AI-Native Mindset

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You have experience or a strong, demonstrated interest in building infrastructure around AI models, managing GPU workloads, and serving models at scale.

• Experience

: 5+ years shipping production-grade backend systems. Experience with Kubernetes, workflow orchestration (Temporal or similar), video infrastructure, vector databases, or high-volume data pipelines is a major plus.

Our Tech Stack:

• Orchestration & Compute:

Kubernetes (GKE), Docker, Horizontal Pod Autoscaling (HPA)

• Workflow Engine:

Temporal

• Languages:

Python, Type Script

• Data & Storage:

Redis, Mongo

DB, Vector DB, Postgres, Cloud Storage

• Infrastructure as Code:

Terraform

• Observability:

Datadog (APM, Custom Metrics)

• Cloud: GCP

Why Join Now?

• Market Leadership

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We’re defining the "Agentic Video Editing" category and setting industry standards for quality and taste.

• Hard Infrastructure Problems

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You’ll build systems that process millions of video hours — tenant…