Lead Software Engineer – Enterprise Observability

Become a part of our caring community   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 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. 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. • 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