Application Production Support Engineer (Java and GCP)

Cognizant Technology Solutions•Irving, TX

7d•Onsite

About The Position

As an Application Production Support Engineer (Java and GCP) , you will make an impact by ensuring the stability, reliability, and performance of critical cloud-native applications and systems. You will be a valued member of our Technology & Engineering team and work collaboratively with development, operations, and business stakeholders to resolve complex incidents and maintain seamless service delivery. Please note, this role is not able to offer visa transfer or sponsorship now or in the future In this role, you will: Provide expert-level (L3) support for high-priority production incidents, ensuring timely resolution and root cause analysis. Participate in a 24/7 on-call rotation using PagerDuty to respond to critical alerts and system issues. Troubleshoot and debug Java-based microservices built with Spring Boot and exposed via REST APIs. Manage and support applications deployed on Google Cloud Platform (GCP), including GKE and serverless environments. Maintain and support ETL workflows orchestrated by Apache Airflow and secure file transfers via IBM Sterling MFT. Implement proactive monitoring and observability using ELK stack or similar tools, and automate operational tasks using scripting and cloud-native tooling. Adhere to Change Management processes and participate in Disaster Recovery planning and testing. Work model This is an onsite position based in Irving, TX , requiring presence in the client or Cognizant office. We strive to provide flexibility wherever possible and support a healthy work-life balance through our wellbeing programs.

Requirements

5+ years of experience in Production Support, SRE, or L3 Application Support roles in cloud-native environments.
Hands-on experience with Java and Spring Boot for microservices troubleshooting.
Proven expertise in Google Cloud Platform (GCP), especially GKE (Kubernetes).
Strong knowledge of Linux and shell scripting.
Experience with Apache Airflow for workflow orchestration.
Proficiency with monitoring and observability tools (ELK, Prometheus, Grafana, Datadog).
Solid understanding of RESTful services and API testing using Postman.
Familiarity with IBM Sterling MFT or similar secure file transfer solutions.
Experience with incident management tools like JIRA and on-call platforms like PagerDuty.

Nice To Haves

Experience automating operational processes using cloud-native tools.
Knowledge of synthetic monitoring tools like UpTrends.
Strong collaboration skills using Slack and other communication platforms.
Familiarity with Disaster Recovery best practices and Change Management compliance.

Responsibilities

Provide expert-level (L3) support for high-priority production incidents, ensuring timely resolution and root cause analysis.
Participate in a 24/7 on-call rotation using PagerDuty to respond to critical alerts and system issues.
Troubleshoot and debug Java-based microservices built with Spring Boot and exposed via REST APIs.
Manage and support applications deployed on Google Cloud Platform (GCP), including GKE and serverless environments.
Maintain and support ETL workflows orchestrated by Apache Airflow and secure file transfers via IBM Sterling MFT.
Implement proactive monitoring and observability using ELK stack or similar tools, and automate operational tasks using scripting and cloud-native tooling.
Adhere to Change Management processes and participate in Disaster Recovery planning and testing.