Site Reliability Engineer

CGI•Phoenix, AZ

5d•Onsite

About The Position

CGI is looking to hire a Site Reliability Engineer to ensure the stability, scalability, and resilience of our critical platforms—spanning mainframe, ETL pipelines, databases, and distributed systems. This role will be key to minimizing downtime, improving performance, and enabling reliable delivery of business-critical services. This role will be filled from the client site 5 days a week in Phoenix, AZ only. For this role on this particular client engagement, employer sponsorship of immigration related visa and/or green card status as part of the PERM process will NOT be available.

Requirements

Bachelor's degree or higher in Computer Science or equivalent preferred but not required.
5+ years experience in Application Support with strong understanding of monitoring, alerting, and observability
Strong understanding of Site Reliability Engineering principles (SLIs, SLOs, SLAs)
5+ years experience in Incident management and root cause analysis (RCA)
Basic to intermediate understanding of Mainframe environments (z/OS, JCL, batch processing)
Ability to work with mainframe teams and understand batch job dependencies and failures
Working knowledge of relational databases (Oracle, SQL Server, DB2, Teradata, Hive, etc)
Experience with performance monitoring tools like Dynatrace, Splunk/ELK

Nice To Haves

Experience with Medallion Architecture a plus
Experience in Containerization (Kubernetes / Docker) a plus
Experience with Marketing applications (Pega, Salesforce, Adobe, Zafin, Naehas) is a plus
Experience with Visual Basic (.NET) a plus
Experience with SaaS based solutions a plus
Financial Services industry knowledge.

Responsibilities

Support and maintain mission-critical applications developed in COBOL, DB2, Pega, VB .Net, and Java, including diagnosing and resolving application and database performance issues.
Monitor and maintain the health, performance, and reliability of large-scale Hadoop clusters and big data environments, ensuring optimal resource utilization and uptime.
Develop, automate, and optimize data pipelines using SQL, Python, and PySpark for efficient data ingestion, transformation, and processing.
Troubleshoot and resolve complex issues related to Informatica ETL processes, ensuring data quality, consistency, and timely delivery.
Implement and enforce best practices for site reliability, including automated monitoring, alerting, and incident response for both big data platforms and legacy systems.
Collaborate with development, QA, and infrastructure teams to support application deployments, upgrades, and integration across diverse technologies.
Document operational procedures, incident reports, and system configurations to support knowledge sharing and business continuity.
Continuously evaluate and recommend improvements for system scalability, security, and reliability in both big data and legacy application environments.
Ensure data security, governance, and compliance standards are met within all data engineering processes.