Senior Software Engineer II — AI-Driven Ops & Observability

United States Digital Space LLC

United States

Remote

USD 140,000 - 190,000

Full time

14 days+

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Job summary

the company is seeking a Senior Software Engineer II to join the OPX team within the Developer Experience org. You will design automated reliability and self-healing systems, own incident tooling, and evolve observability for real-time visibility into systems and latency.

You will collaborate with product engineering, mentor engineers, and drive best practices to run services reliably, with a focus on AI-driven automation and reducing on-call toil across a globally distributed environment.

Qualifications

  • 8+ years of experience designing and building products in a software engineering team.
  • Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
  • 3+ years on infrastructure and/or platform engineering focused teams.
  • Expertise in Observability, reliability, and operational data analysis.
  • Experience with monitoring frameworks and automated response workflows.
  • Experience with AI-driven automation across the SDLC and IaC tooling.

Responsibilities

  • Design and build automated reliability and self-healing systems for production at scale.
  • Own and improve incident management tooling and on-call health.
  • Develop and evolve observability infrastructure including SLOs and performance monitoring.
  • Contribute to AI-driven operational tooling and autonomous remediation efforts.
  • Drive incident prevention by removing operational toil and improving on-call experiences.
  • Partner with product engineering teams to diagnose reliability gaps and reduce burden.

Skills

Observability
Reliability
AI automation
Go/Python
DevEx experience
Cloud platforms

Education

Bachelor's Degree in Computer Science/Engineering

Tools

Datadog
New Relic
Grafana
Terraform

Job description

the company is seeking a Senior Software Engineer II to join the OPX team within the Developer Experience org. You will design automated reliability and self-healing systems, own incident tooling, and evolve observability for real-time visibility into systems and latency.

You will collaborate with product engineering, mentor engineers, and drive best practices to run services reliably, with a focus on AI-driven automation and reducing on-call toil across a globally distributed environment.

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