Real-Time ML Platform Lead & Architect

DataVisor; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Stock Options

Commuter Passes

Paid Time Off

Catered Lunch and Dinner

Team and Company Outings

Job summary

DataVisor is seeking an experienced Platform Engineering leader to design and scale the real-time detection platform. You will own streaming, storage, and training pipelines, and translate roadmaps into concrete technical plans.

The role demands hands-on leadership, architecture reviews, and mentorship to deliver high-impact fraud detection at scale. You will work across Product, TAM, and customer teams, ensuring robust operational health, risk assessment, and safe AI tool integration in

Qualifications

• Strong knowledge of computer systems, relational databases, and SQL.
• Experience designing, building, shipping, and operating distributed real-time systems at scale.
• Proven ability to lead technical outcomes across a team.
• Strong verification discipline, validating model outputs against source code, logs, documentation, and production behavior.
• Bachelor’s degree in Computer Science or a related field.
• Experience with Java, Python, and Shell scripting.
• 8+ years of software development experience.
• 2+ years of technical leadership experience as a tech lead or similar role.
• Experience with Kubernetes.
• Experience building with LLM APIs, agent frameworks, tool calling, RAG, or MCP.
• Experience owning ML platforms or large-scale training pipelines.
• Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka.
• Experience with Spring Framework.
• Experience in fraud, risk, payments, or related domains.
• Deep production experience with distributed real-time systems at scale.
• Test-driven development.

Responsibilities

• Own the technical direction of the real-time detection platform, including streaming, storage, and training pipelines.
• Translate product and engineering roadmaps into clear technical plans, milestones, and execution priorities.
• Proactively identify technical risks, dependencies, and trade-offs before they impact delivery.
• Lead design and architecture reviews, make trade-off decisions, and document reasoning behind key decisions.
• Stay hands-on by coding, reviewing code, debugging issues, and supporting the team during production incidents.
• Mentor engineers and raise the bar for system design, code quality, and operational excellence.
• Own the operational health of the platform, including alert quality, on-call load, incident follow-through, and root-cause prevention.
• Partner with Product, TAM, and customer-facing teams on customer-impacting issues with clear impact assessment and next steps.
• Define how the team uses AI agents and AI-assisted tools in engineering workflows, including verification standards and safe usage practices.
• Build, evaluate, and improve LLM- and agent-assisted tools for engineering and operations use cases.

Skills

Relational databases

SQL

Java

Python

Shell scripting

Kubernetes

Cassandra

Yugabyte

Flink

Spark

Kafka

Distributed real-time systems

AI tooling

GitHub Copilot

Spring Framework

LLM APIs

Education

Bachelor’s degree in Computer Science or related field

Tools

Claude Code

Cursor

GitHub Copilot

LLM tools

MCP

Job description

DataVisor is seeking an experienced Platform Engineering leader to design and scale the real-time detection platform. You will own streaming, storage, and training pipelines, and translate roadmaps into concrete technical plans.

The role demands hands-on leadership, architecture reviews, and mentorship to deliver high-impact fraud detection at scale. You will work across Product, TAM, and customer teams, ensuring robust operational health, risk assessment, and safe AI tool integration in