Sr. Software Engineer- Backend

United States Digital Space LLC; New York (NY); On-site; USD 165,000 - 220,000; Full time

Job summary

The company is seeking an experienced backend/infrastructure engineer to join our AI Platform team. You will help build the substrate that powers data apps, model training, and vector search, collaborating with platform, infra, and ML teams to deliver end-to-end experiences.

Bring 5+ years in backend engineering, strong skills in Scala/Go/Python, and a product-minded approach to solving hard problems in distributed systems and cloud-native environments.

Qualifications

• 5+ years of experience in backend or infrastructure engineering.
• Strong programming skills in Scala, Go, or Python.
• Experience with distributed systems, scalable APIs, or cloud-native infrastructure.
• Familiarity with service-oriented architecture, deployment pipelines, and system observability.
• Strong product and ownership mindset — you care about building the right solution, not just any solution.

Responsibilities

• Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, the company Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.
• Improve reliability, latency, and efficiency of distributed AI workloads
• Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences
• Shape how developers and data scientists build and interact with AI on the company

Skills

Scala

Go

Python

Distributed systems

APIs

Cloud-native infrastructure

SOA

Deployment pipelines

Observability

Ownership mindset

Tools

SageMaker

Vertex AI

Azure ML

Job description

P-1591

At the company, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You’ll be joining ahigh-agency, high-visibility teamoperating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. the company Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI. We’re hiring across multiple teams in our AI Engineering org including:

The impact you will have:

• Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, the company Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.
• Improve reliability, latency, and efficiency of distributed AI workloads
• Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences
• Shape how developers and data scientists build and interact with AI on the company

What we look for:

5+ years of experience in backend or infrastructure engineering

• Strong programming skills inScala, Go, or Python
• Experience with distributed systems, scalable APIs, or cloud-native infrastructure
• Familiarity with service-oriented architecture, deployment pipelines, and system observability
• Strong product and ownership mindset — you care about building the right solution, not just any solution

Bonus points for:

• Experience with real-time serving, ML infrastructure, or GPU orchestration
• Exposure to platforms like SageMaker, Vertex AI, or Azure ML
• Contributions to OSS projects like MLflow, PyTorch, or Ray
• Built developer platforms or internal tools supporting AI workflows

Pay Range Transparency

the company is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, the company anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$165,300—$219,675 USD

About the company

the company is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

Benefits

At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.