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Louisville, Kentucky-based Humana is a leading healthcare company that offers a variety of health, wellness, and insurance products and services designed to offer an integrated app
Senior Software Engineer – Observability
Location
California + 3 moreAll locations: California | Illinois | Montana | South Dakota
Posted
79 days ago
Salary
$106.9K - $147K / year
Seniority
Senior
Job Description
Senior Software Engineer – Observability
Humana
• Configure and manage Splunk data inputs (Syslog, Universal forwarders, Application Programming Interface, Hybrid Electronic Cluster, cloud connectors etc.) • Work with stakeholders to gather requirements for new sources and translate them into onboarding plans, with our key partners in Enterprise Security • Develop and maintain technical add-ons for field extractions, data parsing and normalization • Integrate AI/ML models into observability pipelines to enable predictive analytics, anomaly detection, and intelligent alerting • Troubleshoot ingestion issues across forwarders, indexers and parsing capabilities • Automate onboarding workflows with scripts, dashboards, automation tools (Python, Ansible, Terraform etc.) • Design and implement observability solutions using modern engineering practices and observability technologies • Develop and maintain integrations across observability platforms (e.g., Splunk, Dynatrace, OpenTelemetry) • Build and optimize dashboards, alerts, and analytics to support proactive monitoring and incident response • Collaborate with platform teams to ensure observability is embedded across CI/CD pipelines and production workloads • Participate in Agile ceremonies and enterprise change management processes • Mentor junior engineers and contribute to knowledge sharing across the organization
Job Requirements
- Associate’s degree and 7+ years of software engineering experience (or 10+ years in lieu of a degree)
- 4+ years of experience designing and implementing observability solutions, metrics, events, logs and traces
- 1+ years’ experience integrating AI/ML models into operational or observability workflows
- Experienced in Splunk developing, onboarding and SIEM engineering along with Splunk universal forwarders, heavy forwarders and indexers
- Proficiency in data parsing and field extractions using props.conf, transforms.conf and Regex
- Strong proficiency in one or more programming languages (e.g., Python, Go, Java)
- Deep understanding of distributed systems, microservices, and telemetry pipelines
- Excellent communication and stakeholder engagement skills
- Proven ability to work independently and lead technical initiatives
Benefits
- Medical, dental and vision benefits
- 401(k) retirement savings plan
- Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
- Short-term and long-term disability
- Life insurance and many other opportunities
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