Sr. Software Engineer

Primary Duties & Responsibilities

• Design, build, and maintain observability infrastructure including distributed tracing, structured log aggregation, metrics pipelines, and alerting systems across Fullbay Next microservices using CloudWatch, OpenTelemetry, and AWS-native services
• Build and operate AI-assisted anomaly detection capabilities that help engineering teams identify and resolve production issues faster, reducing mean time to detection and resolution across the platform
• Develop internal developer tooling and self-service operational dashboards that surface real-time system health, cost visibility, and reliability signals, empowering engineers to own their services in production
• Establish and govern Terraform standards for provisioning observability infrastructure, writing reusable modules and reviewing infrastructure-as-code contributions across engineering teams
• Define and enforce instrumentation standards so that every service on Fullbay Next emits consistent, high-quality telemetry from day one, making log aggregation, tracing, and alerting reliable and low-maintenance across the platform
• Drive FinOps visibility by building cost and usage dashboards that give engineering and leadership clear, actionable insight into AWS spend at the service level
• Define and enforce SLI, SLO, and error budget frameworks and build the systems that measure and report on them, enabling teams to make data-driven reliability tradeoffs
• Collaborate with Sherpa platform team members to integrate observability tooling into the internal developer platform, making provisioning, deployment, and operational monitoring seamless for every engineering team
• Investigate and evaluate emerging observability technologies and AI tooling, making informed build-vs-buy recommendations that align with Fullbay's AWS-first, serverless-preferred architecture
• Adhere to all confidentiality and compliance regulations

Minimum Education & Work Experience

• This job requires at least 7-10 years of experience in Software Design and Development, with significant depth in observability engineering, platform engineering, or developer support operations in a cloud-native environment.

Key Skills And Qualifications

• Hands-on experience with CloudWatch and OpenTelemetry for distributed tracing, structured logging, metrics collection, and alerting across microservices architectures
• Strong proficiency in Java, TypeScript/Node.js, and Python; experience building production services on AWS Lambda, ECS, and DynamoDB in a 100% AWS environment
• Terraform expertise: writing, maintaining, and governing infrastructure-as-code for observability systems and developer platform components
• Experience building AI-assisted operational tooling, including anomaly detection, log analysis, or intelligent alerting systems that reduce manual triage burden
• Deep familiarity with FinOps principles and AWS cost visibility tooling, with the ability to build service-level cost dashboards that drive accountability across engineering teams
• Awareness of SRE best practices including SLI/SLO definition, error budgets, and reliability-first service design within a microservices platform
• Strong ability to define and communicate instrumentation standards, developer platform conventions, and operational readiness requirements across engineering teams of varying experience levels