Infrastructure Software Engineer (Enterprise GenAI)

Scale AI; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Dental & vision

Learning stipend

Parental leave

Job summary

Scale AI is hiring an engineer to help build and scale our core infrastructure across multiple cloud providers (GCP, Azure, AWS) for customers in regulated industries. You’ll architect multi-cloud abstractions for the SGP platform and implement integrations with customer data environments, collaborating with platform, product teams, and customers to deliver scalable infrastructure.

You will deliver experiments at high velocity and contribute across the full product lifecycle, learning new

Qualifications

• 4+ years of full-time software engineering experience.
• Experience with Kubernetes.
• Proficiency in Python or JavaScript/TypeScript.
• Experience with cloud providers (AWS, Azure, GCP).

Responsibilities

• Build and scale core infrastructure.
• Architect multi-cloud systems and abstractions for Scale AI platform.
• Implement integrations between Scale AI platform and customer data environments.
• Collaborate with platform, product teams and customers to deliver scalable infrastructure.
• Deliver experiments rapidly with high quality for customers.
• Work across the full product lifecycle from concept to production.

Skills

Kubernetes

Python

JavaScript/TypeScript

Distributed systems

Cloud platforms (AWS, Azure, GCP)

Tools

Vector databases

LLMs

Job description

• We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment
• You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail
• Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
• Implement custom integrations between Scale AI’s platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly

Benefits

• Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
• Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
• Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
• Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systemsExperience scaling products at hyper growth startupsExperience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies4+ years of full-time engineering experience, post-graduationExperience with KubernetesProficient in Python or Javascript/Typescript, and SQLExperience with major cloud providers (AWS, Azure, GCP)Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences