Observability & Operations Engineer

🕒 March 10

🌵 Arizona – Remote

🌵 Arizona – Remote

💵 $131.7k - $161.3k / year

⏰ Full Time

🟠 Senior

🔴 Lead

⚙️ Operations

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Fullbay

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

🚗 Transport

💰 Venture Round on 2019-05

SaaS • Enterprise • Transport

Fullbay is a comprehensive software solution designed specifically for diesel repair shops and other heavy-duty repair operations. The company offers a range of tools to streamline various aspects of shop management, including estimates and invoices, service order workflow, inventory management, and customer communication. Fullbay integrates with accounting systems for seamless bookkeeping and supports two-way texting between customers and shops. It also provides specialized repair software for fleet maintenance, mobile operations, and specific industries such as agricultural and emergency vehicles. With features like reporting, MOTOR integration for repairs, and secure cloud-based data, Fullbay aims to maximize shop efficiency and enhance profitability while contributing to safer roads.

📋 Description

• Design and implement a comprehensive observability strategy (logging, metrics, tracing, alerting) across all AWS environments, leveraging AI-powered tools to detect anomalies and surface insights automatically • Build and manage monitoring platforms such as Datadog, Grafana, Prometheus, and AWS CloudWatch — actively exploring AI-native features within these tools to reduce alert fatigue and improve signal quality • Use AI coding assistants (e.g. GitHub Copilot, Claude) to accelerate development of dashboards, runbooks, and automation scripts • Own the incident management lifecycle — on-call rotations, post-mortems, root cause analysis — and apply AI-assisted log analysis to speed up diagnosis and resolution • Instrument Java, Kotlin, and Node.js-based cloud-native applications to emit structured logs, distributed traces, and metrics; identify opportunities to use ML-based anomaly detection in place of static thresholds • Build repeatable, code-first observability pipelines that treat dashboards, alerts, and runbooks as first-class software — versioned, tested, and deployed through Harness • Leverage AWS PaaS services (Lambda, API Gateway, ECS, RDS, SQS, SNS, and others) to build scalable, automated operational tooling • Collaborate with development teams to embed observability and AI-assisted quality checks into CI/CD pipelines via Harness • Own the FinOps function for our AWS environment — tracking cloud spend, building cost dashboards, identifying waste, and using AI-powered cost analysis tools to surface optimization opportunities and drive accountability across engineering teams • Monitor AWS infrastructure for performance, availability, and cost — partnering with finance and engineering to enforce spend governance • Develop and maintain Infrastructure as Code using Terraform, using AI pair programming to improve quality and consistency • Contribute to architectural decisions with a focus on resilience, automation, and reducing toil through intelligent systems • Adheres to all confidentiality and compliance regulations • Performs other duties as assigned

🎯 Requirements

• 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 (coding assistants, AI-powered observability platforms, or similar) in a professional setting — we’re an AI-first company and expect this to be part of how you work, not something you’re just exploring