Lead Observability Engineer — AI-Driven, Scalable Logging (Remote)

Humana

Dallas (TX)

On-site

USD 129,000 - 178,000

Full time

4 days ago
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Benefits offered by this job

Medical, Dental, Vision
401(k) plan
Paid time off
Parental leave

Job summary

Humana is seeking a Lead Software Engineer in the Enterprise Observability Engineering team to design and evolve logging platforms across distributed systems. You will mentor engineers, drive enterprise-scale initiatives, and collaborate with SRE, Security, Networking, Platform Engineering, and Data Science teams to advance AI-powered observability strategies.

Ideal candidates have deep expertise in logging, open telemetry, and cloud-native tooling, with experience shaping resilient, scalable

Qualifications

  • 7+ years in software/infrastructure with observability focus.
  • Strong knowledge of logging, open telemetry, and distributed systems.
  • Experience with CI/CD, IaC, cloud-native platforms, and API design.

Responsibilities

  • Architect and optimize observability environments.
  • Build automation scripts and tools for instrumentation and deployment.
  • Integrate observability into CI/CD pipelines with IaC.
  • Mentor engineers and lead enterprise-scale initiatives.
  • Collaborate with SRE, Security, Networking, and Data Science teams.
  • Lead design of distributed systems for reliability and performance.
  • Communicate insights to leadership.

Skills

7+ yrs exp
Programming (Python/Java/Go)
System architecture
AI Ops
CI/CD
IaC (Terraform/Ansible)
Cloud-native
API design
Leadership

Education

Associate degree in CS/Engineering

Tools

Splunk Enterprise
Dynatrace
Cribl
Grafana
SNOW/ITSM tools

Job description

Humana is seeking a Lead Software Engineer in the Enterprise Observability Engineering team to design and evolve logging platforms across distributed systems. You will mentor engineers, drive enterprise-scale initiatives, and collaborate with SRE, Security, Networking, Platform Engineering, and Data Science teams to advance AI-powered observability strategies.

Ideal candidates have deep expertise in logging, open telemetry, and cloud-native tooling, with experience shaping resilient, scalable

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