Site Reliability Engineer

Role: Site Reliability Engineer (Full Stack Developer)

Location: Pittsburgh, PA

Salary Range: $115,000-$120,000 per annum

Desired Skills: NET | Core JAVA | Mainframe

Job Description:

Must skills:

• Part of a full stack agile team supporting Pega, Java, ETL, Data Engineers, VB (.NET), and Mainframe development.
• Actively participate in all Agile ceremonies, including daily stand-ups, sprint planning, and retrospectives. 

Flex/Nice-to-Have Skills:

• 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.

Roles & 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.
• Familiarity with Dynatrace and LogScale. 
• Familiarity with tools like Jira, Confluence, Alation.

Qualifications : BACHELOR OF COMPUTER SCIENCE