Senior Software Engineer, Platform
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Job Description
Full-Stack Engineer at OpusClip crafting internal infrastructure tools and service governance frameworks. Enhancing developer experience and automating service deployment across platform and infrastructure.
Responsibilities:
- 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.
- 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.
- Define and evangelize coding standards, API design patterns, and tooling conventions across engineering teams.
- Explore AI/ML applications to enhance tooling capabilities (e.g., anomaly detection, automated root cause analysis, LLM-powered ChatOps).
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.
Benefits:
- Offers Bonus
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