Staff Software Engineer – Infrastructure

Posted Yesterday
Hiring Remotely in United States
Remote
250K-300K Annually
Expert/Leader
Artificial Intelligence • Information Technology • Software
The Role
The Staff Software Engineer will lead the development and maintenance of infrastructure systems supporting AI models, ensure performance monitoring, and collaborate with stakeholders to optimize technical strategies.
Summary Generated by Built In
About Us

Sequen AI is leading the charge for building frontier ranking models for search and recommendations. Sequen AI's technology specializes in designing end-user behavior for large consumer enterprises.

About the Role

We are currently looking for talented and experienced Infrastructure Engineers to join our team and support the development, scaling, and maintenance of our cutting-edge AI systems.

  • Core Infrastructure: The systems team is responsible for supporting clusters used to train, research, and ultimately serve AI models. Your work will be crucial in ensuring Sequen is able to continue to reliably train and serve frontier ranking models.

  • Observability: We build and maintain the infrastructure that monitors the health, performance, and efficiency of our AI systems. You'll work across teams to implement monitoring solutions using tools like Prometheus,, and Datadog, while developing automated approaches for dashboards and alerts. Your work will create reliable, low-maintenance systems that enable proactive monitoring and operational excellence.

Responsibilities

  • Consult with different stakeholders to deeply understand infrastructure, data and compute needs, identifying potential solutions to support frontier research and product development

  • Set technical strategy and oversee development of high scale, reliable infrastructure systems.

  • Design processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice

About You

  • Have 10+ years of relevant industry experience, 3+ years leading large scale, complex projects or teams as an engineer or tech lead

  • Possess deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP

  • Are obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement

  • Strong proficiency in at least one programming language (e.g., Python, Go, Java)

  • Strong problem-solving skills and ability to work independently

  • Have a passion for supporting internal partners like research to understand their needs

  • Have excellent communication skills to build consensus with stakeholders, both internally and externally

Strong Candidates May Have

  • Security and privacy best practice expertise

  • Hands-on experience with data pipelines and processing large-scale datasets

  • Experience with machine learning infrastructure like GPUs,

  • Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems

What We Offer
  • An senior role with massive impact on infrastructure and engineering velocity

  • Ownership of mission-critical systems that power ML and data workflows

  • Annual Salary : $250,000—$300,000 USD + Equity

  • Health insurance, unlimited time off, awesome team

Top Skills

AWS
Datadog
GCP
Go
Java
Kubernetes
Prometheus
Python
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The Company
HQ: New York, New York
8 Employees

What We Do

The first Behavior Design Engine for the enterprise.

Sequen isn’t retrofitted AI search or recommendations. It rethinks relevance from first principles.

Sequen introduces the first foundational Large Event Model (LEM), trained on billions of user event sequences and built natively on a reinforcement learning infrastructure.

LEMs are specialized neural networks that predict the next user event—just as LLMs predict the next word. Sequen’s LEMs are pre-trained on billions of user-site interactions and fine-tuned to optimize for the outcomes you care about.

No more fixed pipelines with fragmented infrastructure. Sequen replaces them with a single endpoint that adaptively handles all phases of personalization via LEMs and memory models—all through a sub-25ms API.

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