Sr. Site Reliability Engineer - Core Platform & Embedded Reliability (Hybrid)

What you'll do

• Set reliability roadmaps with engineering leadership and deliver architectural improvements across services, libraries, and platforms.
• Establish observability, SLOs and error budgets; lead performance, resilience, and cost optimization work.
• Provide technical leadership during incidents, build automation and infrastructure-as-code, and mentor engineers.

What they ask for

• 10+ years building and operating distributed systems and service-oriented backends at scale.
• 5+ years developing SaaS microservices in a modern backend language; expert proficiency in at least one language, with expert Go proficiency or willingness and ability to reach it.
• Deep knowledge of distributed systems, scaling, concurrency, and engineering best practices; demonstrated organizational-scope architectural impact.
• Degree in Computer Science, or commensurate experience in data structures, algorithms, and distributed systems; proven experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.

Nice to have

• Experience with large-scale orchestration systems such as Kubernetes and distributed technologies such as AWS, Cassandra, Kafka, Elasticsearch/OpenSearch, or similar.
• Experience with multi-cloud systems, internal platforms, cost or performance optimization, chaos engineering, SLO/SLI frameworks, open source, or cybersecurity.

Pay

$140,000 - $215,000 per year (base salary)

Tools

Go, Java, Scala, Kotlin, Python, Node.js, Kubernetes, AWS

AI focus

Use AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes; the team’s codebase includes AI-based Detection & Response.