Senior Software Engineer, X's Moonshot...

Google LLC
Mountain View, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 261K

Job location

Mountain View, United States of America

Tech stack

Amazon Web Services (AWS)
Cloud Computing
Software Design Documents
Data Flow Control
Hadoop
Python
Machine Learning
NoSQL
SQL Databases
Toolchain
Data Storage Management
Google Cloud Platform
Data Storage Technologies
Large Language Models
Spark
Apache Flume
Information Technology
Apache Flink
Machine Learning Operations
Terraform
Data Pipelines
Apache Beam
Service Stack

Job description

As a generalist software engineer, you will own end-to-end development of breakthrough technologies that rely heavily on large language models. Your work will mostly focus on large scale data pipelines, efficient data storage and batch ML processing working on Google Cloud Platform. You will work closely with domain experts to refine and iterate on our technology stack, and we will rely on you to apply your knowledge and expertise to come up with and implement novel and impactful ideas.

Requirements

  • Bachelors/Masters in Computer Science is preferred, but at least 6+ years professional experience building products is required.

  • Significant on-the-job experience designing, developing, maintaining and releasing software, along with ownership in making product tradeoffs and design decisions

  • Strong proficiency in Python development, with experience in the latest Python toolchains and frameworks, e.g. uv, ruff, fastapi, Pydantic

  • Significant on the job experience with building and managing complex data pipelines, e.g. one or more of Apache Beam, Dataflow, Flume, Flink, Hadoop, Spark

  • Experience interacting with diverse data storage solutions, e.g. NoSQL, SQL, blob storage, vector databases, and understanding the pros and cons of each

  • Experience with managing software in production, including configuration, deployment and monitoring

  • Experience with Cloud providers such as Google Cloud Platform or AWS.

  • Experience owning and building end-to-end production systems that span multiple quarters of work, from design to implementation to production delivery and realized impact.

  • Excellent written and verbal communication skills, e.g. design docs, PR descriptions

  • Ability to work in the Mountain View office at least 3 days per week

It'd be great if you had these:

  • Experience in infrastructure-as-code, e.g. Terraform

  • Exposure to productions systems that rely heavily on ML models, and/or experience with model deployment

  • Experience working in start-up like environments where things can change on a dime

  • Consistent track record of delivering high quality solutions to large, complex software problems

  • Experience in finding the exact right meme or gif for any situation

  • Joy in learning new technologies, learning from your teammates and teaching them as well!

  • Passion for delighting users, but also extracting energy from both good and difficult feedback

  • Experience in agonizing over a technical decision for about ten minutes before understanding what the product and the team needs most and doing that (but then still wondering if you did the right thing)

Benefits & conditions

The US base salary range for this full-time position is $174,000 - $261,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

An Equal Opportunity Workplace

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