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AttentiveAttentiveUnited States

Staff Software Engineer, Developer Experience

Staff-level engineer leading AI-assisted developer platform and productivity tooling for 200+ engineers. Owns CI/CD, monorepo infrastructure, CLI tooling, and AI integrations across a Java/Spring Boot Gradle environment on AWS.

180k – 240k
Remote8+ YOEDevOps / SRE

About the role

What You’ll Accomplish

  • Define and drive the technical strategy for Attentive’s AI-assisted developer experience platform, including context systems, orchestration layers, and developer tooling integrations
  • Lead architecture decisions and author RFCs/ADRs that shape developer infrastructure and platform standards across the engineering organization
  • Build and evolve systems that improve developer productivity, code quality, and engineering velocity across a large-scale monorepo environment
  • Improve the reliability, scalability, and usability of local development environments, CI/CD systems, and internal developer tooling
  • Partner directly with engineers and teams across the organization to identify bottlenecks, gather feedback, and drive adoption of new tooling and platform capabilities
  • Own and evolve internal CLI tooling and service scaffolding systems that standardize engineering workflows and improve service discoverability
  • Mentor engineers on technical design, architecture, documentation, and platform engineering best practices
  • Lead cross-functional collaboration around engineering standards, developer workflows, and AI-assisted development practices

Your Expertise

  • 8+ years of software engineering experience, with significant experience building and operating large-scale developer platforms, CI/CD systems, or internal engineering productivity tooling
  • 4+ years of experience working with build systems and continuous integration platforms such as Gradle, CircleCI, GitHub Actions, Bazel, Buildkite, or similar technologies
  • 4+ years of experience designing and scaling developer infrastructure within large monorepo or distributed service environments
  • Proficiency in TypeScript and hands-on experience building systems in Java and/or Python
  • 1+ years of hands-on experience with AI-assisted development tooling, coding agents, context systems, MCP integrations, or related developer AI workflows
  • Strong architectural and systems design skills, including experience authoring RFCs, ADRs, and cross-team technical proposals
  • Demonstrated ability to operate in ambiguous problem spaces and independently define technical roadmaps and investment priorities
  • Experience driving adoption of platform initiatives across multiple teams and engineering organizations
  • Strong communication and collaboration skills, with the ability to influence engineers and stakeholders across varying technical domains
  • Passion for developer productivity, platform ergonomics, and building systems that scale both technically and organizationally

What We Use

  • Our engineering organization primarily builds in a Java / Spring Boot Gradle monorepo running on AWS
  • Our CI/CD infrastructure is powered by CircleCI and GitHub Actions, alongside internal orchestration layers for parallel test execution and distributed build workflows
  • Our developer tooling ecosystem is primarily built in TypeScript and includes internal CLI tooling, service scaffolding, deployment tooling, troubleshooting utilities, and local development infrastructure
  • Our AI-assisted developer platform includes coding agents, context systems, MCP integrations, orchestration tooling, AI-powered PR review workflows, and guardrails designed to make AI-assisted development reliable at scale
  • Our data and test infrastructure leverages Python-based tooling alongside technologies and patterns such as Snowflake, Meltano/Singer pipelines, deterministic ID transformation, PII scrubbing, and referential integrity preservation
  • Our local development and testing systems are designed to shift testing left, enabling engineers to work against production-like environments and datasets directly from their local workflows

Skills

TypeScriptJavaPythonGradleCircleCIGitHub ActionsAWSCI/CDMonorepoAi-Assisted Development Tooling

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