Engineer Jobs

About The Position

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.
• 10+ years of experience in Site Reliability Engineering, Cloud Engineering, Platform Engineering, DevOps, or related technical disciplines.
• Demonstrated success designing and operating observability platforms in large-scale enterprise environments.
• Deep expertise with Kubernetes platforms, including AKS and GKE.
• Strong experience with Azure and Google Cloud Platform services and architectures.
• Hands-on experience with enterprise observability tools such as Grafana, Datadog, Prometheus, OpenTelemetry, Dynatrace, New Relic, or similar platforms.
• Advanced knowledge of monitoring, logging, telemetry collection, distributed tracing, and observability engineering principles.
• Experience defining and operationalizing SLIs, SLOs, error budgets, reliability metrics, and service health frameworks.
• Strong automation and Infrastructure as Code expertise using Terraform and related tools.
• Proficiency developing automation solutions using Python, Go, PowerShell, or similar languages.
• Experience integrating observability solutions into CI/CD pipelines and modern DevOps workflows.
• Proven ability to influence technical direction and collaborate effectively with stakeholders across Engineering, Product, Infrastructure, Security, and Operations organizations.
• Strong communication, leadership, and stakeholder management skills with the ability to translate technical concepts for both technical and business audiences.

Nice To Haves

• Experience leading enterprise observability transformations or platform modernization initiatives.
• Experience with AI Ops, event correlation, operational analytics, and predictive monitoring capabilities.
• Knowledge of ServiceNow integrations and ITSM/ITOM processes.
• Experience supporting highly available, customer-facing SaaS platforms at scale.
• One or more cloud certifications (Azure, Google Cloud, Kubernetes, or related technologies).
• Previous experience serving as a technical lead, mentor, or architect within a reliability engineering organization.

Responsibilities

• Lead the architecture, design, implementation, and continuous improvement of enterprise observability solutions across Azure, Google Cloud Platform (GCP), Kubernetes, and hybrid environments.
• Establish and drive enterprise observability standards for monitoring, logging, distributed tracing, telemetry, and operational analytics.
• Develop and maintain executive, operational, and engineering dashboards that provide real-time visibility into infrastructure, applications, platform health, customer experience, and business transactions.
• Define, evangelize, and implement reliability frameworks including SLIs, SLOs, error budgets, operational KPIs, and service health metrics.
• Partner cross-functionally with Engineering, Infrastructure, Security, Product, and Operations teams to identify reliability risks and drive operational excellence initiatives.
• Lead efforts to improve incident prevention, detection, response, and recovery through intelligent alerting, automation, event correlation, and observability best practices.
• Integrate observability capabilities with ServiceNow, CI/CD pipelines, automation frameworks, and enterprise operational workflows.
• Influence technical strategy and roadmap decisions related to reliability engineering, platform observability, and operational readiness.
• Support and drive enterprise initiatives involving AI-driven observability, predictive analytics, anomaly detection, and event intelligence.
• Mentor engineers and serve as a subject matter expert for observability, reliability engineering, and cloud-native operations.
• Establish governance, adoption, and best practices across multiple product and engineering teams to ensure consistent observability standards enterprise-wide.

Benefits

• Offers of employment are conditional upon passage of screening criteria applicable to the job