Lead Software Engineer - Enterprise Observability

Humana; United States; Remoto; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

Humana is seeking a Lead Software Engineer to architect and evolve our observability and logging platforms across distributed systems. You will drive design decisions, mentor engineers, and collaborate with SRE, Security, Networking, Platform Engineering, and Data Science teams.

You’ll apply AI/ML and cloud-native approaches to improve reliability, scalability, and performance while aligning observability with business goals and cost optimization.

Competenze

• Associate degree or higher in CS/Engineering or related field.
• 7+ years in software/infrastructure engineering with observability/logging focus.
• 3+ years in hands-on observability design and engineering.
• 2+ years hands-on AI development for observability.
• 2+ years hands-on experience developing data logging solutions.

Mansioni

• 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 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.
• 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.

Conoscenze

Observability design

Logging systems

Distributed systems

AI in observability

Cloud-native

SRE collaboration

Automation

CI/CD

Infrastructure as code

Formazione

Associate degree in CS/Engineering or related field

Strumenti

Splunk Cloud Enterprise

Splunk ES

Data onboarding (HEC/UF/TA)

SNOW/SOAR/ITSM/SecOps tools

Descrizione del lavoro

Become a part of our caring community

The Enterprise Observability Engineering team is a high-impact, high-autonomy group focused on building intelligent, scalable, and resilient observability solutions. We foster a culture of innovation, agility, and ownership-empowering engineers to solve complex problems, drive strategic initiatives, and shape the future of how we monitor and operate distributed systems.

If you're passionate about building tools engineers love, solving unscoped challenges, and leading with technical excellence-this is the team for you.

About the Role

We're looking for an expert Lead Software Engineer with deep expertise/hands on experience in building, designing and engineering solutions for logging and observability engineering. You should be fluent in the principles of open telemetry, log ingestion, and event correlation across distributed systems. While familiarity with platforms like Splunk or Dynatrace is a plus, we value Observability platform-agnostic thinking and the ability to design resilient, scalable logging solutions using the best-fit tools for the environment.

As a Lead Software Engineer, you will create and drive the design, implementation, and evolution of our observability and logging platforms. You'll lead enterprise-scale initiatives, mentor engineers, and collaborate across disciplines to ensure our systems are reliable, scalable, and performant. Applying deep technical expertise to solve real-world challenges. You'll work closely with SRE, Security, Networking, Platform Engineering, and Data Science teams to evolve our observability strategy using AI/ML and cloud-native technologies.

Key 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.

Required Qualifications

• Associate degree in Computer Science, Engineering, or related field.
• 7+ years in software/infrastructure engineering with observability/logging focus.
• 3+years in hands on observability design and engineering solution
• 2+years hands on experience with AI Development (not an end user of AI, contributor to building AI solutions preferably AI Observability)
• 2+years hands on experience developing data logging solutions
• 2+years Automation experience
• 2+ years Maturing/Scaling Observability
• Strong foundation in operating systems, networking, algorithms, and distributed systems.
• Proven leadership and mentoring experience.
• Agile delivery experience and strategic thinking around observability maturity.
• Expertise with Splunk Cloud Enterprise & ES (SPL, dashboards, correlation searches, data models)
• o Scaled and complex Data onboarding (HEC, UF, TA development)
• o Integration with SNOW, SOAR, ITSM/SecOps tools
• Observability, Monitoring and alerting strategy design
• Engineer solutions for cost optimization
• Automation and continuous delivery practices
• Leading cross-functional programs across technologies

Additional Information

This position follows a remote work style however the candidate must live a commutable distance to one of our designated IT locations: Louisville, KY; Tampa, FL; Fort Laurderdale FL; Dallas, TX; Washington, D.C;

Work at Home Requirements: To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lowe