Staff II Software Engineer AI/ML Ops in Pleasanton, California

Blackline

Hybrid

Quick summary

Work type
Hybrid
Location
Pleasanton, CA
Posted
75 days ago
Closes
Apr 13, 2027
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $194k
$136k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $165,000–$222,000.

Based on 240 similar postings.

Employer

About Blackline

BlackLine is a cloud-based financial operations management platform that automates and controls the financial close process for enterprises, including account reconciliation, journal entries, and financial reporting. Industry: Financial Technology & Accounting Software

Blackline currently has 20 open roles on FindRole.

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At a glance

TL;DR · Staff II Software Engineer AI/ML Ops in Pleasanton, California

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Join our dynamic team as a Lead Data Engineer and spearhead the development of robust data pipelines that power AI-driven accounting agents. You will lead the creation of scalable PySpark ETL processes, manage integrations with external APIs like Plaid and FiveTran, and ensure high performance through continuous monitoring and optimization. Collaborate closely with data science and product teams to integrate cutting-edge AI technologies, set governance standards, and mentor senior engineers. Utilize Python, TensorFlow, and Kubeflow while working in cloud ecosystems such as GCP and AWS, ensuring seamless deployment and observability across large-scale datasets. This role demands expertise in CI/CD pipelines, containerization, and DevSecOps practices to deliver reliable and efficient machine learning solutions at scale.

Skills

Python TensorFlow PyTorch scikit-learn Airflow Kubeflow MLflow GCP AWS Azure LangChain CI/CD IaC DevSecOps Prometheus Grafana Docker Kubernetes Bash Apache Airflow

What you'll do

  • Lead the design and optimization of data pipelines using PySpark for high performance.
  • Manage robust integrations with client data sources via APIs and tools like FiveTran.
  • Ensure reliability by monitoring pipeline performance and automating testing processes.
  • Optimize large-scale datasets through CDC mechanisms and indexing strategies implementation.
  • Collaborate on AI system deployment, integrating solutions into existing workflows seamlessly.

What we're looking for

  • Extensive experience with PySpark ETL pipelines and data integration tools.
  • Expertise in ML frameworks (TensorFlow, PyTorch) and orchestration tools (Airflow, Kubeflow).
  • Proven track record of operating production pipelines for ML systems across cloud ecosystems.
  • Strong proficiency in CI/CD, IaC, DevSecOps pipelines with testing and deployment automation.
  • Hands-on experience with observability stacks like Prometheus and Grafana for performance tracking.
  • Deep understanding of governance frameworks for Responsible AI and cost metering.
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field.

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