Observability & Operations Engineer

The Observability & Operations Engineer will design and implement a comprehensive observability strategy across all AWS environments, leveraging AI-powered tools to detect anomalies and surface insights automatically. They will build and manage monitoring platforms, use AI coding assistants to accelerate development, and own the incident management lifecycle.

Requirements

• Minimum 7-10 years of experience in Software Engineering, Cloud Operations, or Site Reliability Engineering
• 5+ years of hands-on experience with AWS infrastructure and AWS PaaS services; certifications are a plus
• Demonstrated experience building repeatable, code-first pipelines and treating operational configuration as first-class software
• Experience working with polyglot environments including Java, Kotlin, and Node.js
• Demonstrated experience using AI tools in a professional setting
• Deep experience with enterprise observability platforms
• Proficiency with distributed tracing frameworks and log management platforms
• Strong understanding of SRE principles including SLOs, SLAs, error budgets, and chaos engineering
• Hands-on FinOps experience
• Strong working knowledge of AWS PaaS services
• Experience instrumenting polyglot applications and cloud-native microservices for observability
• Proven ability to build repeatable, code-first pipelines
• Experience with CI/CD tooling, specifically Harness
• Solid understanding of Infrastructure as Code using Terraform
• Fluency with AI tools in day-to-day work
• Ability to lead incident response, facilitate blameless post-mortems, and drive long-term reliability improvements
• Strong collaboration skills for working across platform and product engineering teams
• Knowledge of containerization technologies and microservices architecture

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Health Insurance