Full-Time

Senior Software Engineer

ML Infrastructure

Posted on 9/18/2025

Google

Google

10,001+ employees

Tech giant offering search, ads, cloud

No salary listed

Bengaluru, Karnataka, India

In Person

Category
Software Engineering
Required Skills
Python
Airflow
Apache Spark
Java
Hadoop
C/C++
Data Analysis
Google Cloud Platform
Requirements
  • Bachelor's degree or equivalent practical experience.
  • 5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with Cloud Security and Compliance.
  • Experience building distributed systems.
  • Experience in building Machine Learning Operations platforms.
Responsibilities
  • Make Cloud Dataproc the leading product for data science, ML and AI workloads.
  • Design and build software stack to leverage Google technologies for cluster setup, excellent AI/ML operations, monitoring and observability.
  • Engage with Google Cloud Platform (GCP) infrastructure teams to deliver the GCP features to Dataproc customers.
  • Build customer-facing features which make Cloud Dataproc the leading platform to run Hadoop, Spark, Flink, AI/ML and newer technologies in the cloud.
  • Work across boundaries in a distributed team.
Desired Qualifications
  • Master's or PhD in Computer Science or related technical field.
  • Experience working with Graphics Processing Unit, Tensor Processing Unit, or High Performance Computing (HPC) clusters.
  • Experience in ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn.
  • Experience with ML operation principles and tools for model versioning, monitoring, and deployment.
  • Knowledge of open source data analytics tools such as Apache YARN, Spark, Hive, Flink etc.
  • Bachelor's degree or equivalent practical experience.
  • 5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with Cloud Security and Compliance.
  • Experience building distributed systems.
  • Experience in building Machine Learning Operations platforms.

Google provides internet services and products, including a widely used search engine and a large ecosystem of tools for individuals and businesses. It works by processing user queries and ranking results with relevance and personalized data, while its advertising platforms show targeted ads to users. Its products span cloud computing (Google Cloud), productivity software (Google Workspace), and hardware like Pixel phones and Nest devices, all connected through data and machine learning. Its goal is to organize the world’s information so it is universally accessible and useful, while supporting a sustainable business model built on ads and a growing software, cloud, and hardware portfolio.

Company Size

10,001+

Company Stage

IPO

Headquarters

Mountain View, California

Founded

1998

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Simplify's Take

What believers are saying

  • Paid $2.4B for Windsurf AI coders, hiring CEO Varun Mohan.
  • Acquired Galileo AI, launching Stitch UI tool.
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What critics are saying

  • Figma's 80% design market share blocks Stitch adoption.
  • Gemini hallucinations violate WCAG accessibility standards.
  • Privacy settings train Gemini on user designs, rejecting enterprises.

What makes Google unique

  • Google dominates with 80%+ global web search traffic.
  • Gemini powers Stitch for text-to-UI generation.
  • Google.org grants €1M to electricityMap for carbon data.

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Benefits

Hybrid Work Options

Remote Work Options

Performance Bonus

Company Equity

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