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Lead Software Development Engineer
Company | Amperity |
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Location | Seattle, WA, USA |
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Salary | $190000 – $260000 |
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Type | Full-Time |
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Degrees | |
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Experience Level | Expert or higher |
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Requirements
- 9+ years of experience building and evolving complex, high-scale software systems.
- Technical leadership experience driving major features or platform evolution across multiple teams.
- Expertise in designing distributed systems, data-intensive applications, or cloud-native architectures.
- Elegant coding skills with well thought out system design capabilities.
- Comfortable working in functional languages like Clojure.
- Experience aligning technical strategy with our priorities and customer needs.
Responsibilities
- Contribute across teams that move quickly, embracing rapid, iterative development to solve meaningful customer problems and improve the platform.
- Shape what we build and how we build it, working with Product, Support, Customer Success, and Go-to-Market teams to create high-impact features and seamless customer experiences.
- Process and understand large volumes of structured and unstructured customer, product, and event data.
- Build full-stack experiences and intuitive toolsets that help users visualize their data, understand their customers, and surface impactful insights.
- Apply the latest data science and AI advancements to accelerate time-to-value for data developers and marketers.
- Integrate our platform into the operating core of the businesses we serve.
- Rethink how marketers and customer teams activate and use data to accomplish measurable outcomes.
Preferred Qualifications
- Experience with large-scale data engines like Apache Spark, Presto, and Kafka.
- Familiarity with functional programming languages including Clojure, ClojureScript, and the React ecosystem.
- Experience with cloud-native infrastructure built with Kubernetes and Terraform, deployed across multiple cloud providers.
- Knowledge of machine learning models and systems including random forests, logistic regression, and probabilistic databases.