Principal Observability Automation Engineer

11 days ago

Responsibilities

Translate ambiguous business needs into architected, detectable, and automatable systems from prototype through production.
Extend the proprietary cloud-hosted agentic AI platform, including locally hosted models, for observability and automated issue detection.
Design and implement enterprise-scale, 24/7, cross-region-resilient observability and automation frameworks across AWS, Azure, GCP, VMware, and on-premises environments.
Develop full-stack applications and APIs for automated data collection, correlation, and visualization.
Modernize high-risk access and operations pathways into secure, controlled, self-service tooling with appropriate guardrails.
Define and enforce best practices for system design, code quality, security, performance, availability, confidentiality, and privacy.
Improve monitoring, alerting, and incident-response systems and identify automation opportunities with cross-functional teams.
Own the lifecycle of observability tools and platforms, including CI/CD pipelines, configuration management, and infrastructure as code.
Mentor senior, mid-level, and junior engineers while decomposing complex problems and maintaining a high quality bar.
Lead complex technical projects, participate in strategic planning and roadmap development, and make technical decisions.
Provide light event-driven on-call support for owned systems, typically a handful of times per year.

Bachelor’s degree in Computer Science or a related field with 15 years of experience in software engineering, systems automation, or observability tooling; or an advanced degree with 12+ years of experience; or equivalent related work experience.
Expertise in C#, Go, and scripting languages including Python, Bash, and PowerShell.
Deep understanding of RESTful APIs, microservices architecture, and distributed systems.
Proficiency with SQL and NoSQL databases, including MS SQL Server and Postgres.
Strong experience with monitoring and analytics platforms such as Grafana and Splunk.
Hands-on experience with CI/CD tools and practices, configuration management, and infrastructure as code.
Advanced knowledge of Linux, including Red Hat/CentOS, and Windows Server administration.
Experience with Docker, orchestration, and Terraform-based infrastructure automation.
Proven ability to lead complex technical projects and influence cross-functional teams.
Excellent communication and leadership skills, including the ability to present architecture to engineers and executive leaders.
Experience with NGINX, IIS, and public cloud datacenter operations is preferred.
Fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the United States.

Hybrid work opportunities.
Flexible time off.
Health insurance offerings and paid parental leave for eligible new parents.
Career development and mentoring programs.
Community volunteering, company philanthropy programs, and employee peer recognition programs.
Supportive, inclusive culture prioritizing career growth, collaboration, and physical, mental, and professional wellness.