Senior Infrastructure Software Engineer, Enterprise AI at Scale AI

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Telecom, Finance, RetailIndustries

Requirements

Proven experience in a senior role, with 5+ years of full-time software engineering experience
Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes), and observability platforms (e.g., Datadog, Prometheus, Grafana)
Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)
Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups
Proficiency in Python or JavaScript/TypeScript, and SQL
Bonus: Hands-on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies

Responsibilities

Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers
Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies
Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response
Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization
Solve the toughest engineering problems related to multi-tenancy, data isolation, and high-performance inference at a massive scale, taking end-to-end ownership across the full product lifecycle

Skills

Key technologies and capabilities for this role

GCPAzureAWSIaCObservabilityLoggingMetricsTracingMulti-tenancyData IsolationSecurityCompliance

Questions & Answers

Common questions about this position

What is the compensation for this role?

Compensation packages include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries, determined by work location and additional factors including job-related skills and experience.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills are required for this Senior Infrastructure Software Engineer role?

Required skills include 5+ years of software engineering experience, deep knowledge of CI/CD, IaC (Terraform, Helm), Kubernetes, observability (Datadog, Prometheus, Grafana), experience with at least one major cloud provider (AWS, Azure, GCP), security/compliance expertise, and proficiency in Python or JavaScript/TypeScript plus SQL.

What is the company culture or team environment like?

This information is not specified in the job description.

What makes a strong candidate for this position?

A strong candidate has proven senior-level experience with 5+ years in software engineering, expertise in modern infrastructure like IaC, Kubernetes, cloud providers, security/compliance, and programming in Python/JS/SQL. Bonus for hands-on experience with AI technologies like Agents, LLMs, and vector databases.

Scale AI

AI platform for data and models

About Scale AI

Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.

San Francisco, CaliforniaHeadquarters

2016Year Founded

$1,558.9MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.

Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.

Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.

Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.

Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.

Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.

Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.

Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.

Parental Leave - 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.

Risks

Legal issues over labor practices could harm Scale AI's reputation and financial standing.

Controversial stance on DEI may deter potential talent and partnerships, affecting growth.

Expansion in San Francisco could increase operational costs amid uncertain economic conditions.

Differentiation

Scale AI offers comprehensive data annotation for AI, unlike competitors focusing on single modalities.

The platform supports diverse clients, from tech giants to government agencies, enhancing its versatility.

Scale AI's commitment to AI safety initiatives sets it apart in responsible AI development.

Upsides

Growing demand for AI data annotation boosts Scale AI's market potential and client base.

Expansion into defense applications opens new revenue streams and strategic partnerships.

Partnerships with AI safety organizations enhance Scale AI's reputation as a responsible AI leader.

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