Senior Back-End Software Engineer (Remote) in London

Software is eating the world, but AI is eating software.

We live in unprecedented times – AI has the potential to exponentially augment human intelligence.

Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life.

To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations.

This is the main innovation that's enabled Chat GPT to get such a large headstart among competition.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.

The data we are producing is some of the most important work for how humanity will interact with AI.

At the foundation of these products is the Identity Engineering team.

In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication.

You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems.

Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, Open ID Connect).

Build software for authorization mechanisms such as Relation-based access control (Re BAC), Attribute-based access control (ABAC), Role-based access control (RBAC).

Build software-defined identity governance policies to ensure compliance with security policies, industry regulations (e. g., Ideally you'd have:5+ years of full-time engineering experience, post-graduation with specialities in infrastructure and identity systems.

Infrastructure expertise – IAM controls, Infrastructure as Code (Terraform, Pulumi), microservice deployment best practices.

Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).

Show a track record of independent ownership of successful engineering projects.

Multi-cloud infrastructure experience – AWS, Azure, GCP, and more.

Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node. js, or .

NET.

Mentorship/leadership experience supporting junior engineers PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions.

Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

We are expanding our team to accelerate the development of AI applications.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.

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