Cribl DevOps Engineer Lead

Progressive is dedicated to helping employees move forward and live fully in their careers. The Cribl DevOps Engineer Lead will advance development and automation capabilities for enterprise-scale monitoring data platforms, leading CI/CD, Infrastructure as Code, ingestion and migration initiatives, and platform adoption while mentoring engineers and improving operational maturity.

Responsibilities:

• Help advance the team’s development and automation capabilities through modern engineering practices
• Contribute to initiatives across CI/CD pipelines, Infrastructure as Code, and emerging technologies, including AI, while working with teammates and stakeholders to improve platforms and reduce operational overhead
• Help accelerate platform adoption, lead large-scale ingestion and migration efforts, improve operational maturity, and mentor engineers in observability, data ingestion, and platform engineering best practices
• Utilize your expertise in architecting, operating, and supporting production-scale telemetry and data pipeline environments while solving complex engineering challenges

Requirements:

• Bachelor's Degree or higher in an Information Technology discipline or related field of study (e.g., Computer Science, Software Engineering, Telecommunication, Math) and minimum of six years working with operating system hardware and/or software components in designing and scripting infrastructure solutions
• In lieu of degree, minimum of eight years related experience working with operating system hardware and/or software components in designing and scripting infrastructure solutions
• This is a remote position for US based work only
• Schedule: 1st shift ET, CT, or MT, Mon – Fri
• Applicants must be authorized to work for any employer in the U.S. without the need or potential need, of current or future sponsorship for employment
• Significant hands-on experience designing, implementing, and supporting Cribl pipelines in production environments
• Experience integrating Cribl Stream with Splunk and other observability, analytics, or storage platforms
• Experience leading large-scale data ingestion, migration, or observability platform initiatives
• Experience with observability, telemetry, OpenTelemetry, or modern monitoring architectures
• Experience providing technical leadership, mentoring engineers, and establishing platform engineering best practices