Tech Lead – Real-Time ML Platform & Streaming

DataVisor Inc.; Mountain View (CA); Hybrid; USD 170,000 - 220,000; Full time

Benefits offered by this job

Health insurance

401(k)

PTO

Equity

Job summary

DataVisor Inc. is seeking a senior Platform Engineer to lead the real-time detection platform, focusing on streaming, storage, and training pipelines. You will translate roadmaps into concrete plans, drive architectural decisions, and mentor a team of engineers to deliver high-scale systems.

You will stay hands-on, review code, and collaborate with product teams to manage risk and ensure reliability. Candidates should have strong Java, Python, SQL, and distributed systems experience.

Qualifications

• 8+ years of software development experience.
• 2+ years of technical leadership experience as a tech lead or equivalent.
• Proven ability to lead technical outcomes across a team, including work you did not personally implement.
• Deep production experience with Java, along with working proficiency in Python and Shell scripting.
• Experience designing, building, shipping, and operating distributed real-time systems at scale.
• Strong knowledge of computer systems, relational databases, and SQL.
• Experience building and optimizing multithreaded and concurrent applications.
• Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka.
• Experience with the Spring Framework.
• Demonstrated use of AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in real production work.
• Ability to set team-level standards for AI-assisted engineering, including how tools are used, how outputs are verified, and when AI-generated suggestions should be rejected.
• Strong verification discipline, with the ability to validate model outputs against source code, logs, documentation, and production behavior.
• Bachelor’s degree in Computer Science or a related field is required.

Responsibilities

• Own the technical direction of the real-time detection platform, including streaming, storage, and the training pipelines that support it.
• 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 technical trade-off decisions, and document the 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, operational excellence, and technical execution.
• Own the operational health of the platform, including alert quality, on-call load, incident follow-through, and root-cause prevention.
• Partner directly with Product, TAM, and customer-facing teams on customer-impacting issues, ensuring clear impact assessment, prioritization, ownership, 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, such as triage, root-cause analysis, alert summarization, and evaluation harnesses.

Skills

Java

Python

Shell scripting

Distributed systems

SQL

Cassandra

Yugabyte

Flink

Spark

Kafka

Spring

AI coding tools

Kubernetes

LLM APIs / agent frameworks

MLOps / ML platforms

Education

Bachelor's degree in Computer Science or related field

Job description

DataVisor Inc. is seeking a senior Platform Engineer to lead the real-time detection platform, focusing on streaming, storage, and training pipelines. You will translate roadmaps into concrete plans, drive architectural decisions, and mentor a team of engineers to deliver high-scale systems.

You will stay hands-on, review code, and collaborate with product teams to manage risk and ensure reliability. Candidates should have strong Java, Python, SQL, and distributed systems experience.