GCP Performance Engineer

Cognizant

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Parsippany, NJ
Salary
$114,000–$130,000 / yr
Posted
12 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k
This role $122k
$100k $249k
below market most similar roles pay here above market

This role pays less than 98% of similar roles. Most pay $171,187–$231,150 — the blue band above. At the midpoint, this role pays about $122k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 341 open roles on FindRole.

Listed pay typically runs $100,000–$133,500 across 219 roles with salary data.

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View all roles at Cognizant

At a glance

TL;DR · GCP Performance Engineer

As a GCP Performance Engineer, you will join the Cloud Infrastructure and Security team to monitor, analyze, and optimize application and infrastructure performance across Google Cloud Platform environments. Your daily responsibilities include identifying system bottlenecks, supporting performance testing, and conducting capacity planning to improve scalability and reliability. You will specifically optimize BigQuery queries, tune AlloyDB database performance, and manage Pub/Sub messaging throughput. You will also configure Cloud Monitoring dashboards and observability solutions while collaborating with development teams to optimize Python-based applications and cloud-native workloads. The role requires proficiency in Python, Google Cloud Platform services, and performance optimization techniques. You will solve technical problems related to latency, throughput, and resource utilization to ensure efficient execution and reduced processing costs across distributed cloud applications.

What you'll do

  • Monitor application, database, and infrastructure performance across GCP environments.
  • Analyze latency, throughput, and resource utilization to identify optimization opportunities.
  • Support performance testing, workload validation, and capacity planning activities.
  • Optimize and tune BigQuery queries and AlloyDB database performance.
  • Configure and maintain Cloud Monitoring dashboards, alerts, and observability solutions.
  • Investigate and resolve CPU, memory, disk, network, and application bottlenecks.
  • Optimize Python-based applications and Pub/Sub messaging performance.
  • Develop performance baselines, recommendations, and documentation for continuous improvement.

What we're looking for

  • 5+ years of experience in application and infrastructure performance engineering.
  • Hands-on experience with Google Cloud Platform (GCP) services.
  • Strong knowledge of BigQuery, AlloyDB, Compute Engine, and Pub/Sub.
  • Experience analyzing performance metrics, resource utilization, and system bottlenecks.
  • Proficiency in Python programming and performance optimization techniques.
  • Experience with cloud monitoring, observability, and alerting tools.
  • Understanding of performance testing methodologies, workload validation, and capacity planning.
  • Experience troubleshooting distributed cloud applications and services.

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