Full-Time

Senior Software Engineer

AI/ML

Posted on 4/8/2025

Striim

Striim

201-500 employees

Real-time data integration and streaming platform

Compensation Overview

$160k - $180k/yr

+ Stock Options

Palo Alto, CA, USA

Hybrid

Hybrid: minimum 3 on-site days per week in Palo Alto, CA.

Category
Software Engineering (2)
,
Required Skills
LLM
Tensorflow
Pytorch
Machine Learning
Requirements
  • 4+ years' professional experience integrating AI/ML models into software applications, preferably in real-time data processing environments
  • Proven experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, LLM APIs), including experience with model deployment and management
  • A Bachelor's degree or higher in Computer Science or a similar field
  • Excellent communication skills and the ability to collaborate effectively with globally distributed teams
  • Ability to lead projects and mentor junior engineers
  • A driven, self-motivated attitude, with a desire to experiment, learn, and dive into challenges
  • Strong problem-solving abilities and a collaborative, team-oriented mindset
  • Hybrid position: all applicants must be able to work in our office in Palo Alto, Ca., minimum 3 days/week
Responsibilities
  • Design, develop, test, deploy, and maintain scalable data streaming solutions while integrating AI components
  • Collaborate with cross-functional teams to ensure seamless integration of AI-driven features into the streaming engine
  • Integrate AI models and algorithms to enhance data processing capabilities, such as real-time analytics, anomaly detection, and predictive modeling
  • Work closely with data scientists to develop and deploy AI-driven solutions that improve the efficiency and accuracy of data streaming processes
  • Lead complex projects from inception to delivery, ensuring timely and high-quality results
  • Mentor junior engineers and contribute to the growth of the team
  • Collaborate with product stakeholders to identify and prioritize technical requirements
  • Communicate technical plans and results effectively to both technical and non-technical audiences
  • Analyze system performance issues and implement optimizations to improve efficiency and reliability
  • Develop tools and processes to automate monitoring and troubleshooting of the streaming platform

Striim provides a fully managed SaaS platform for real-time data integration and streaming intelligence. It connects to data sources across GCP, AWS, and Azure to capture and move data as it changes, breaking silos and speeding analytics, operations, and AI. The platform runs on a distributed streaming SQL engine that performs real-time transformations, joins with historical data, and scales to billions of events per minute, with a dashboard for pipeline health and data latency and built-in ML features for intelligent actions and AI-powered customer experiences. Striim differentiates itself by offering end-to-end, fully managed real-time data pipelines with schema evolution and strong visibility across the data flow, all as a cloud-based service; its goal is to help businesses migrate data, move it to data warehouses or message queues, and enable fast, data-driven decision making through real-time insights.

Company Size

201-500

Company Stage

Series C

Total Funding

$138.5M

Headquarters

Palo Alto, California

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • Striim 5.0 released November 2024 integrates AI agents for data discovery and security.
  • Jake Bengtson joined as VP AI Solutions on July 29, 2025, boosting AI infrastructure.
  • SQL2Fabric-X launched 2025 speeds SQL Server replication into Microsoft Fabric.

What critics are saying

  • Confluent Platform 8.0 erodes market share with Kafka-native AI by October 2026.
  • Fivetran's HVR acquisition on March 10, 2026, captures Oracle customers by August 2026.
  • Databricks' Arcion buy on January 22, 2026, lures analytics clients by November 2027.

What makes Striim unique

  • Striim Copilot AI chatbot accelerates pipeline creation using natural language queries.
  • Validata Cloud delivers real-time vector validation between Oracle and BigQuery.
  • Sentinel AI and Sherlock AI enable continuous data governance on Google Cloud Vertex AI.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Vacation

Paid Sick Leave

Stock Options

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

-1%
GlobeNewswire
Jul 29th, 2025
Jake Bengtson Joins Striim as VP of AI Solutions to Lead the Next Phase of AI-Ready Data Infrastructure

PALO ALTO, Calif., July 29, 2025 (GLOBE NEWSWIRE) - Striim, a recognized leader in real-time data integration and intelligence, today announced the appointment of Jake Bengtson as Vice President of AI Solutions.

Striim
Jun 3rd, 2025
AI Meets Data Infrastructure: Cost, Performance, and What's Coming Next - with Barzan Mozafari

Barzan Mozafari, CEO of Keebo and former computer science professor, joins Striim, Inc. to explore how AI is changing the way data teams work.

Striim
Apr 29th, 2025
Modernizing Healthcare Regulation: Inside the GMC's Cloud Analytics Transformation with Striim and Azure

GMC's team worked with Striim to deploy a streaming solution that connected their Siebel source data to the cloud - while simultaneously scaling up their Azure environment.

LifeCare News
Apr 9th, 2025
Striim Unveils Groundbreaking AI-Powered Data Governance with Real-Time Compliance on Google Cloud

At Google Cloud Next 2025, Striim is showcasing how Sentinel AI and Sherlock AI - two governance AI agents powered by Google Cloud's Vertex AI platform - help organizations detect, tag, and safeguard sensitive data in motion, reducing exposure risks, avoiding penalties and reputational damage, and supporting compliance in a continuous, ongoing manner.

Striim
Mar 31st, 2025
Accelerating SQL Server Data Replication with SQL2Fabric-X

That's why Striim, Inc. is excited to announce the general availability of SQL2Fabric-X, a purpose-built managed service designed to simplify and accelerate SQL Server data replication into the Microsoft ecosystem for delivering AI and BI solutions.

INACTIVE