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Open nowFirst seen 9 hours ago

Staff Software Engineer, Infrastructure, Google Cloud

Google3,604 open roles

Where
Bengaluru, Karnataka, India
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Your applicationOpen nowStaff Software Engineer, Infrastructure, Google CloudGoogle · Bengaluru, Karnataka, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 9 hours ago

Google median: 27 days open

The posting

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++, Python, C, C++, Java and JavaScript.
  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 5 years of experience testing, and launching software products.

Preferred qualifications:

  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Experience with a backend server infrastructure.
  • Understanding of algorithms and data structures, and their time and space performance.

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.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 develop systems or enhancements to existing telemetry, monitoring, and logging infrastructure to improve observability and debugging for Dataproc and Managed Service for Apache Spark.
  • Architect and optimize observability pipelines for Spark Streaming and Structured Streaming workloads, providing insights into micro-batch latencies, checkpointing bottlenecks, and input message lag.
  • Apply Apache Spark core internals knowledge to build tools that detect performance regressions, data skew, and resource inefficiencies in customer workloads.
  • Collaborate with cross-functional partners (e.g., Product, UX) to design and deliver intuitive monitoring dashboards, cost-attribution features, and developer tools.
  • Collaborate with Dataproc and Cloud Platform teams to integrate and release telemetry features, OpenTelemetry (OTel) pipelines, and diagnostic frameworks safely at scale. Build robust monitoring systems providing visibility, execution history, and real-time performance insights into distributed big data workloads.
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