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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