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Lead Software Development Engineer

Lead Software Development Engineer

CompanyAmperity
LocationSeattle, WA, USA
Salary$190000 – $260000
TypeFull-Time
Degrees
Experience LevelExpert or higher

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.