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About the Role

The Enterprise Observability Engineering team is seeking a Lead Software Engineer with deep expertise in logging and observability engineering to drive the design, implementation, and evolution of our observability and logging platforms. You will lead enterprise-scale initiatives, mentor engineers, and collaborate across disciplines to ensure our systems are reliable, scalable, and performant, using AI/ML and cloud-native technologies.

Responsibilities

Architect and optimize observability environments through software engineering best practices.
Build automation scripts and tools to streamline observability instrumentation and deployment.
Integrate observability into CI/CD pipelines using infrastructure-as-code (IaC) and configuration management tools.
Conduct observability code reviews and implement automated validation checks.
Build AI-native tools for autonomous issue detection and resolution.
Lead the design of distributed systems focused on reliability, scalability, and performance.
Manage data routing, transformation, and endpoint monitoring integrations.
Mentor junior engineers and foster a culture of continuous improvement.
Collaborate across teams to align observability strategies with business goals.
Communicate technical insights and recommendations to leadership.

Requirements

Associate degree in Computer Science, Engineering, or related field.
7+ years in software/infrastructure engineering with observability/logging focus.
Strong foundation in operating systems, networking, algorithms, and distributed systems.
Proven leadership and mentoring experience.
Agile delivery experience and strategic thinking around observability maturity.

Skills

Programming (eg. Python, .Net, Java, Go, Node.js)
System architecture and AI Ops
CI/CD (eg. GitHub Actions, Azure DevOps)
Infrastructure as Code (eg. Terraform, Ansible)
Cloud-native development (eg. Azure, AWS, GCP)
API design (eg. REST, gRPC)
Open telemetry
Splunk Enterprise & ES (SPL, dashboards, correlation searches, data models)
Scaled and complex Data onboarding (HEC, UF, TA development)
Integration with SNOW, SOAR, ITSM/SecOps tools
Dynatrace, Cribl, Grafana
Monitoring and alerting strategy design
Budget management and cost optimization
Automation and continuous delivery practices
Leading cross-functional programs across technologies
Certified Splunk Admin and Advanced Power User

Location

Remote (commutable distance to Louisville, KY; Tampa, FL; Fort Laurderdale FL; Dallas, TX; Boston, MA; New York City; Washington, D.C; Atlanta, GA; Nashville, TN; Chicago, IL or Charlotte, NC)

Work Type

Remote
Full-time

Experience Level

Lead
7+ years

Education Level

Associate degree in Computer Science, Engineering, or related field.
Technical bachelor’s degree (preferred)

Salary/Compensations

$129,300 - $177,800 per year

Benefits

Medical, dental and vision benefits
401(k) retirement savings plan
Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
Short-term and long-term disability
Life insurance
Bonus incentive plan

About the Company

Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.