Software Engineer II
Major search and advertising technology company · Mountain View, CA
- Location
- Mountain View, CA · Hybrid
- Salary band
- $100 – $100/hr
- Type
- Contract
- Level
- Mid
- Work authorization
- Not stated
Stack
Python · C++ · Java · Machine Learning · Large Language Models (LLMs) · Distributed Systems · Backend Engineering · Software Testing · Code Review · Production Deployment · Process Automation
About the role
Role: Software Engineer (II) Location: Mountain View, CA - Hybrid Job ID: GOG1JP00005539 Duration: 3 Months Pay Rate: $100/hr. on W2 This is with Ads Safety Eng Role Overview & Responsibilities Core Function: Strictly a backend software engineering role. "Gen suite" (General Software Engineer), not a policy role. Day-to-Day Tasks: - Developing models to better understand advertisers. - Applying measurement properties to enforcement. - Building distributed systems pipelines. Candidate Profile & Qualifications Required Experience: - General software engineering background (Standard L4 level). - A few years of practical coding experience following a Bachelor's degree. Preferred Skills (Nice-to-Haves): - Machine Learning (ML) and Large Language Models (LLMs). - Distributed systems experience. - Programming Languages: Python, C++, and Java preferred (though entirely flexible). Not Required: - Prior Ads experience is not mandatory. - Neural networks experience is not strictly required. Evaluation Focus: Candidates will be heavily evaluated on completed projects, hands-on industry experience, and strong open-source contributions. As a Software Engineer, you make larger, mostly independent, technical contributions. You deliver on end-to-end tasks towards a larger goal with minimal assistance from more senior team members. You independently plan, prioritize, and execute your work. You may participate in design, though often with guidance. You identify technical problems with the requirements, and fix them. Responsibilities include: - Contribute to qualification, end-user documentation, production deployment/monitoring, process automation, and customer support. Set up or improve test/monitoring/survey infrastructure or processes. Consider code health and system maintainability/and scalability over time. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. - Write product or system development code for tasks with minimal assistance. Conduct testing on code beyond unit testing (e.g. integration, performance, stress, security, load, fuzz), design code to allow for easy testing, and write test case descriptions. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Identify and pay off tech debt to improve long-term maintainability, modifiability, etc.
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