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Salary
≈ $89k – $236k per year (Estimated)
Location
In office (Tel Aviv)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 17, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Control & Connect (C&C) team builds the core infrastructure powering Google Cloud's DMS and Datastream. We own the mission-critical Control Plane and Data Movement Infrastructure that allows enterprise customers to seamlessly migrate and replicate their databases at massive scale.

As a Senior Software Engineer, you will design and build the core infrastructure that enables enterprise customers to replicate and migrate their databases. You will address distributed systems issues involving stateful microservices, intricate multi-region architectures, and high-throughput data pipelines. Operating in a collaborative environment, you will guide the technical design of new features, improve system reliability, and mentor fellow engineers. Our team is also pioneering AI-assisted engineering operations, giving you the opportunity to shape how we use generative AI to accelerate development, improve testing, and reduce operational toil.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Design and implement resilient, multi-step long-running operations and manage orchestration workflows on Google's cluster management systems.
  • Drive architectural improvements to decouple systems, manage service overload, and integrate seamlessly with various Google Cloud services like AlloyDB, Cloud SQL, and BigQuery.
  • Take end-to-end ownership of ambiguous technical challenges, translating complex requirements into concrete architectures and maintaining high engineering standards through design and code reviews.
  • Identify and eliminate operational toil, including contributing to the team's custom AI agents to automate release pipelines and streamline on-call workflows.

Qualifications

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with large-scale infrastructure software development coding in one or more general purpose programming languages.
  • 3 years of experience in designing, investigating, and troubleshooting distributed systems.
  • 2 years of experience in a technical leadership role.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 5 years of experience in data structures and algorithms.
  • Experience with databases and data processing pipelines
  • Knowledge of enterprise networking and AI systems and tools.
  • Strong track record of solving complex problems, thriving in ambiguity and change and achieving significant impact.
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