Site Reliability Engineer

Posted by Q1 Technologies, Inc

Pittsburgh, PA

Permanent

Posted 5 days ago

Job Title: Site Reliability Engineer
Duration- Fulltime Permanent
Location: Pittsburgh, PA/Strongsville, OH (Onsite From Day 1)
Job Description:
Skill: Site Reliability Engineer (Full Stack Developer)

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 Log Scale.
Familiarity with tools like Jira, Confluence, Alation.