GCP Performance Engineer - Optimize Cloud Apps & BigQuery

Cognizant; Parsippany-Troy Hills (NJ); Hybrid; USD 114,000 - 130,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a GCP Performance Engineer in Parsippany, NJ to monitor, analyze, and optimize performance across Google Cloud Platform environments. You will support performance testing, identify bottlenecks, and improve scalability and efficiency of cloud-native workloads.

Join a collaborative Cloud Infrastructure and Security team, with hybrid work and a focus on observability, tuning, and cost optimization. 5+ years of experience and strong Python skills are desirable.

Qualifications

• 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.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Monitor application, database, and infrastructure performance across GCP environments.
• Analyze latency, throughput, resource utilization, and performance trends to identify optimization opportunities.
• Support performance testing, workload validation, and capacity planning activities.
• Optimize and tune BigQuery queries to improve execution efficiency and reduce processing costs.
• Monitor and improve AlloyDB database performance, including query tuning and resource optimization.
• Configure, maintain, and enhance Cloud Monitoring dashboards, alerts, and observability solutions.
• Investigate and resolve CPU, memory, disk, network, and application bottlenecks.
• Collaborate with development teams to optimize Python-based applications and cloud-native workloads.
• Monitor and optimize Pub/Sub messaging performance and throughput.
• Develop performance baselines, recommendations, and documentation to support continuous improvement.

Skills

Python programming

Performance analysis

Monitoring & observability

Communication skills

Tools

BigQuery

AlloyDB

Compute Engine

Pub/Sub

Google Cloud Operations Suite

Job description

Cognizant is seeking a GCP Performance Engineer in Parsippany, NJ to monitor, analyze, and optimize performance across Google Cloud Platform environments. You will support performance testing, identify bottlenecks, and improve scalability and efficiency of cloud-native workloads.

Join a collaborative Cloud Infrastructure and Security team, with hybrid work and a focus on observability, tuning, and cost optimization. 5+ years of experience and strong Python skills are desirable.