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Staff Software Engineer, Infrastructure, Google Cloud

Google · Posted Oct 22

Search engine, cloud computing, software, hardware, and artificial intelligence services

Hyderabad, Telangana, IndiaFull-timeOnsiteLead/Staff8+ years₹1.0Cr–₹1.8Cr yearly61 applicants
InternetCloud ComputingSoftwareHardwareArtificial IntelligenceAdvertisingPublic Company
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About the role

Google Cloud delivers enterprise-grade solutions and tools that help organizations digitally transform, serving customers in more than 200 countries and territories. This role sits with the Dataproc and Managed Service for Apache Spark teams, working on telemetry, monitoring, and logging infrastructure for distributed big data workloads. The Staff Software Engineer will design observability pipelines for Spark Streaming workloads, build tooling to detect performance regressions and data skew, and release OpenTelemetry pipelines and diagnostic frameworks at scale.

What you will do

  • 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.

Skills used in this role

Apache SparkSpark StreamingStructured StreamingOpenTelemetryGoogle CloudDataprocManaged Service for Apache SparkDistributed SystemsData StructuresAlgorithmsObservabilityTechnical LeadershipCross-Functional Collaboration

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.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Google

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Google

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Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.

Industry
Internet
Company size
180000+ employees
Founded
1998-09-04
Location
Mountain View, California, USA
Funding stage
Public Company

Funding

Public Company · $25M raised

Kleiner PerkinsSequoia Capital
  • 1999-06-07Series A$25M

Leadership

SP
Sundar Pichai

Chief Executive Officer

AA
Anat Ashkenazi

Senior Vice President and Chief Financial Officer

PS
Philipp Schindler

Senior Vice President and Chief Business Officer

TK
Thomas Kurian

Chief Executive Officer, Google Cloud

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