Lead Software Engineer – Enterprise Observability
About The Position
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. 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. 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.
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.
- Expertise in: Programming (eg. Python, .Net, Java, Go, Node.js)
- Expertise in: System architecture and AI Ops
- Expertise in: CI/CD (eg. GitHub Actions, Azure DevOps)
- Expertise in: Infrastructure as Code (eg. Terraform, Ansible)
- Expertise in: Cloud-native development (eg. Azure, AWS, GCP)
- Expertise in: API design (eg. REST, gRPC)
- Proven leadership and mentoring experience.
- Agile delivery experience and strategic thinking around observability maturity.
Nice To Haves
- 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
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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
