Job Details

Senior Data Infrastructure Engineer

San Francisco, California, United States

Help architect, build, and scale our data infrastructure, with an eye on security, privacy and performance
Help design and implement a comprehensive monitoring and infrastructure analytics strategy for data
Architect, design and develop distributed, high-throughput, and low-latency data infrastructure systems with a strong focus on availability, resilience, and durability
Drive technology decisions for the data infrastructure technology stack and develop long-term systems roadmaps throughout Looms engineering team
Build relationships to influence stakeholders, partners, and key internal customers
What Were Looking For
You have a solid understanding of systems and application design, and database architectures. including the operational trade-offs of different data architectures
Experience operating production databases (Postgres, Redis) at scale, including relevant performance tuning, monitoring, other optimizations
Adept at root cause analysis in a distributed GNU/Linux systems environment and are comfortable tracing problems through applications, databases, systems, and networks
You like to build tools that automate your job, and have deep knowledge of at least one programming language, eg Go, Python, Ruby, Javascript, etc
You have experience working with technologies like AWS services, service mesh (istio), container orchestration technologies like Kubernetes, Docker, monitoring (Datadog, Prometheus)
Minimum 5+ years of handling services in a high traffic production environment and determining solutions to increase stability, scalability, and performance limits of databases
You have worked in cross-functional engineering teams and know how to enable others' success. You eagerly take ownership and strive to work with others to tackle large problems
Strong track record of successful practical problem solving, excellent written and social communication, and documentation skills

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