
Software Engineer, Data Infrastructure
You will design and integrate systems that power processing of our large and diverse datasets to allow our partners to focus on their strengths: data applications, data modeling, data analysis, search or machine learning. You’ll own technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. You’ll participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs. This will include assessment of build vs buy decisions at every stage, backed by proof of concepts, benchmarking, etc. Provide visibility into the health of our data infrastructure (comprehensive view of data flow, resources usage, data lineage, etc). Automate and handle the life-cycle of the systems and platforms that process our data. Evolve maturity of our monitoring systems and processes to improve visibility and failures detection in our infrastructure.
7+ years of relevant technical experience, including significant experience with site reliability, developer productivity or DevOps
Experience working with data technologies that power analytics
Strong dedication to code quality, automation and operational excellence: unit/integration tests, scripts, workflows.
In-depth knowledge on a few of the production technologies we use including AWS
Time Management
Chef
Hadoop
Docker
Kubernetes
Spark
Terraform
Flink
Pinot
Process Improvement
Verbal communication
Prioritizing skills
written communication
Detail Oriented and Organized
Multi-tasker
According to JobzMall, the average salary range for a Software Engineer, Data Infrastructure in 500 Howard St, San Francisco, CA 94105, USA is $100,000 to $180,000. This range is based on salaries reported by employers to JobzMall and is an indication of the market rate for the position.
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