We are looking for an exceptional engineering technical leader to join our growing team at Nightfall. As a senior, hands-on, technical engineer in the Engineering organization, you will drive execution, provide solid technical expertise, raise the engineering bar of the team, contribute towards shaping the long-term architecture of the platform and have opportunity for technical leadership.
Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.
This is a hybrid role based out of our San Francisco office.
Responsibilities
- Drive great execution, work with the team to set clear goals, and deliver against them
- Hands-on, technical design and coding
- Help shape the long-term architecture of the platform keeping scalability and reliability into account
- Help to recruit, inspire a high performing and creative engineering team
- Implement best of practices in a fast-paced engineering environment
- Champion engineering excellence and culture, establish metrics for regular improvement
- Participating in the team's oncall rotation and help drive operational excellence
Requirements
- Minimum 5+ years of hands-on technical development experience
- Minimum 3+ years of experience mentoring and leading engineering teams
- Experience programming in Python, Go, Java, C++ or related language
- Experience designing and building low latency and high throughput systems based on highly scalable microservices-based architectures
- A foundational understanding of multi-threaded programming, concurrency primitives, and data structures using Python, Go or other frameworks
- Expertise in deploying machine models for inferencing in real-time production environments using a variety of Deep Learning frameworks such as PyTorch, TorchScript or Tensorflow, and the ability to solve complex, cross-language, performance and scalability issues associated with them.
- BS / MS in Computer Science or a related technical field
Bonus Points
- Experience working in high growth venture-backed startups
- Blog, teach, mentor, or help others learn outside of your day to day responsibilities
- Experience training and deploying NLP based machine models or LLMs is a big plus.
- Familiarity with AWS and managed infrastructure
- Familiarity with Docker, Kubernetes, Kafka, gRPC, Redis, KV-stores
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