Senior Software Engineer, Platform, Taiwan

🎨 OpusClip 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 OpusClip 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 SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), 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!

About the Role:

We are looking for a Full-Stack Engineer (Platform & Infrastructure) with a passion for building robust infrastructure tools and advancing service governance frameworks. This role demands someone who thrives on solving complex systems challenges while maintaining an obsession for clean code, elegant design, and scalable automation. You will design tools that empower engineering teams, enforce operational rigor, and elevate the maturity of our platform’s service ecosystem.This role sits at the intersection of platform engineering, developer experience, and infrastructure automation. You will build internal platforms and tooling that serve as the backbone for all engineering teams, enabling scalable, reliable, and cost-efficient systems.

Key Responsibilities:

• Tool Development & Automation:

• Architect, build, and maintain internal infrastructure tools (e.g., CI/CD pipelines, observability platforms, self-service portals) with a focus on usability and developer productivity.

• Develop full-stack solutions (frontend to backend) to automate service deployment, monitoring, and lifecycle management.

• Write clean, maintainable code (nodejs/python) and infrastructure-as-code (Terraform) with an emphasis on simplicity and reusability.

• Build tooling and automation to monitor and optimize infrastructure cost (FinOps), especially for large-scale storage and compute workloads.

• Service Governance & Observability:

• Design and implement frameworks for service health monitoring, logging, tracing, and incident management.

• Build tools to enforce compliance with security, cost optimization (FinOps), and reliability best practices.

• Collaborate with SRE and DevOps teams to refine service SLAs and error budgets.

• Standardization & Scalability:

• Define and evangelize coding standards, API design patterns, and tooling conventions across engineering teams.

• Create modular, extensible toolkits that abstract complexity and accelerate development workflows.

• AI-Driven Innovation:

• Explore AI/ML applications to enhance tooling capabilities (e.g., anomaly detection, automated root cause analysis, LLM-powered ChatOps).

• Prototype intelligent automation for resource optimization, predictive scaling, or developer assistive tools.

Requirements:

• 3+ years of full-stack development experience with a focus on infrastructure or platform tooling.

• Proficiency in modern languages (e.g., Python, Java, Node.js, Go) and frameworks ( Nest, Spring).

• Strong understanding of distributed systems, microservices, and cloud-native technologies (Kubernetes, Docker, AWS/GCP/Azure).

• Demonstrated ability to design tools that balance flexibility with governance (e.g., policy-as-code, guardrails).

• Aesthetic sensibility for clean abstractions, intuitive APIs, and frictionless user experiences.

• Bachelor’s degree in Computer Science or equivalent practical experience.

• Hands-on experience using LLM-based tools (e.g., GitHub Copilot, ChatGPT) to improve development efficiency and code quality.

• Experience building or integrating AI-powered systems (e.g., LLM-based automation, ChatOps, anomaly detection) is strongly preferred.

• Hands-on experience with at least one major cloud provider (GCP preferred), including infrastructure design and cost optimization.

• Good sense of productivity.

Nice to Have:

• Experience integrating AI/ML models into operational tools (e.g., NLP for log analysis, reinforcement learning for resource tuning).

• Contributions to open-source infrastructure projects or developer toolchains.

• Familiarity with service mesh (Istio, Linkerd) or observability stacks (Prometheus, Grafana, OpenTelemetry).

Location：

• Taiwan，Remote work

EEO

OpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.