Senior Software Engineer

What you'll do

• Design, build, and evolve observability platforms and services that provide reliable, self-service visibility into production systems for engineering teams
• Define and drive standards for instrumentation and telemetry across services, including conventions, libraries, and best practices that improve signal quality and reduce noise
• Partner with SRE and product engineering to define and implement SLOs, error budgets, and health indicators, and ensure they are wired into our observability stack
• Improve reliability, performance, scalability, and cost-efficiency of observability pipelines and storage, including capacity planning and resilience to failures
• Participate in on-call for observability services, lead or assist in incident response when telemetry is degraded or missing, and drive follow-up work that improves long-term system health
• Collaborate with internal customers to understand their debugging and monitoring needs and translate them into features and improvements on observability tools and platforms
• Coach and mentor other team members on new technologies and observability best practices

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

What you bring

• Basic 8+ years of related industry experience with a Bachelor's degree or equivalent experience
• Experience in at least one modern backend language and ecosystem (for example: C#, Java, Go, or similar)
• Experience building and operating distributed systems
• Experience working with cloud systems (for example: AWS, Azure, or GCP)
• Experience participating in on-call, incident response, and root cause analysis for production systems
• Experience collaborating with cross-functional partners and influencing technical decisions beyond a single service

Preferred Experience

• Experience with observability systems such as Prometheus and Grafana
• Experience working with ClickHouse or similar high-volume analytical / columnar databases (for example: BigQuery, Snowflake, Redshift, Druid, or time-series/observability stores)
• Experience with high-scale data pipelines and storage, including performance and cost optimization
• Experience defining and driving SLO-based practices with engineering teams, including error budgets and health dashboards
• Experience working with large language models (LLMs) and AI agents, especially for automating debugging, incident analysis, or developer workflows

Pay

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations:

• California: $164,700.00 - $266,000.00 base salary
• Washington, Maryland, New Jersey and New York (including NYC metro area): $158,300.00 - $232,575.00 base salary

Benefits

• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retailer and Pension Programs: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events