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Why Join Enterprise Observability Engineering?

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 a Lead Software Engineer with deep expertise in 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 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 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.

Use your skills to make an impact
 

Required Qualifications

• 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.
• Expertise in:

o Programming (eg. Python, .Net, Java, Go, Node.js)

o System architecture and AI Ops

o CI/CD (eg. GitHub Actions, Azure DevOps)

o Infrastructure as Code (eg. Terraform, Ansible)

o Cloud-native development (eg. Azure, AWS, GCP)

o API design (eg. REST, gRPC)

• Proven leadership and mentoring experience.
• Agile delivery experience and strategic thinking around observability maturity.

Preferred Qualifications

• 5+ years with a technical bachelor’s degree
• Open telemetry
• Experience with 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
• Experience with 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

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; Boston, MA; New York City; Washington, D.C; Atlanta, GA; Nashville, TN; Chicago, IL or Charlotte, NC.

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 rec