Staff PlatformOps Engineer (Emerging AI)

DAT, Seattle, Washington +1

The role

As a Staff AI Platform Engineer, you'll build and own the platform that every AI and machine learning workload at DAT runs on. Freight is an uncertain business, and the models we ship reduce that uncertainty: rate forecasts, load-to-truck matching, document extraction, fraud signals, and the agentic workflows our brokers and carriers use to move freight faster. None of that reaches a customer without a platform that makes training, serving, evaluating, and monitoring models routine instead of heroic.

All jobs

Staff PlatformOps Engineer (Emerging AI)

DAT, Seattle, Washington +1

Posted pay

$198K–$246K

a year

Compared with similar jobs

This base pay is near the median for staff software engineering jobs in other US places.

Median: $221K a year
Other jobs in the group: 484

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: Seattle, Washington +1
Work type: Not given
Level: Staff
Experience: 10+ years
Skills in the job text: AWS
TypeScript
Kubernetes
Java
Go
Terraform
Node.js
Kafka
Posted: Sep 14, 2026
Last check: 8 h ago
Job type: Software engineering, Inference & ML systems, ML / AI engineering

Apply on the DAT site Sign in to save

The DAT site opens in a new tab.

DAT

Open tech jobs: 20
With posted pay: 95%
Median posted base: $173K–$216K

About DAT: funding, hiring and pay

DAT

About DAT: funding, hiring and pay

Check my fit

Compare your résumé with this job. See where you match, what is missing and which lines to change.

The role

What you need

10+ years of experience in software engineering, including significant time as a senior or staff engineer owning production infrastructure that other engineering teams depend on.
4+ years building and operating machine learning or AI platforms, with models you've taken from notebook to production traffic and then kept healthy.
Strong development language skills ideally using TypeScript/Node.js, Java, or Go, with the software engineering discipline to build libraries other teams adopt willingly.
Extensive AWS experience with production systems, ideally including EKS/Kubernetes, Lambda, Redpanda, MSK/Kafka, S3, and Secrets Manager, plus infrastructure-as-code with Pulumi, Terraform or similar.
Hands-on experience serving models at scale: containerized inference, GPU scheduling, autoscaling, batching, and the tradeoffs between real-time, streaming, and batch scoring.
Practical experience with LLM systems in production, including retrieval-augmented generation, vector databases, prompt and context management, tool-calling or agent frameworks, and managed model APIs such as Amazon Bedrock.
Proven experience building evaluation and monitoring for models, not just services: offline eval sets, online metrics, drift and data quality checks, and a clear definition of what "regression" means for a model.
Strong background in event-driven and distributed systems using Redpanda, AWS MSK or Kafka
Fluency with observability and on-call health, designing dashboards, APM traces, logs, and alerts, defining SLOs, and using these tools to drive down incident frequency and MTTR.
Experience establishing and raising engineering standards for a team: PR and testing guidelines, deployment validation checklists, model release criteria, and post-incident review practices.
Demonstrated technical leadership: leading cross-team designs in ambiguous problem spaces, writing clear system design documents and operations runbooks, and driving alignment across Engineering, Product, and Operations.
Proven mentoring track record, especially helping engineers and data scientists grow in system design, observability, and operational excellence.
Excellent communication skills, with the ability to explain trade-offs and system behavior clearly to engineers, product managers, and non-technical stakeholders.

Staff PlatformOps Engineer (Emerging AI)

The role

Staff PlatformOps Engineer (Emerging AI)

The role

What you will do

What you need

We'd be Extra Excited if You Have

About DAT

Similar jobs at other companies

Member of Technical Staff - Platform Engineering

Software Engineer, Infrastructure

Forward Deployed AI Engineer (Post-Sales)

Manager I, Applied Science - Frontier Agentic Models

Software Engineer, Data Infrastructure

Senior AI Infrastructure Engineer

DAT

Compared with similar jobs