Attentive
Staff Software Engineer, Developer Experience
United States · Staff+ · Full-time
Sponsorship not specified$180k-$240kDetected 1 day ago
TypeScriptPythonJavaSpringGitSnowflakeAWSCI/CDGitHub ActionsCircleCIPlatform EngineeringLeadershipCommunicationCollaboration
About the role
- The team's charter spans CI/CD, local development tooling, service scaffolding and conventions, CLI tooling, test infrastructure, and the AI integration layer that powers modern software development workflows.
- As a Staff Software Engineer on the Developer Experience team, you'll serve as the technical leader for Attentive's AI-assisted developer platform and foundational engineering productivity systems.
- This is a highly cross-functional role with significant organizational visibility.
Responsibilities
- Attentive's Developer Experience team owns the infrastructure and tooling that 200+ engineers use every day to build and ship software across our Java/Spring Boot Gradle monorepo running on AWS.
- This role sits at the intersection of developer infrastructure, platform engineering, and AI tooling, with responsibility for shaping how engineers across the company build, test, and ship software.
- You'll partner closely with engineers across the organization to identify friction points, drive adoption of new workflows, and define the future of developer productivity at Attentive.
- Define and drive the technical strategy for Attentive's AI-assisted developer experience platform, including context systems, orchestration layers, and developer tooling integrations
- Build and evolve systems that improve developer productivity, code quality, and engineering velocity across a large-scale monorepo environment
- 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
- We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation.
Requirements
- 4+ years of experience working with build systems and continuous integration platforms such as Gradle, CircleCI, GitHub Actions, Bazel, Buildkite, or similar technologies
- Success requires strong technical judgment, architectural leadership, and the ability to influence engineering practices at scale through both technology and collaboration.
- 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
- Demonstrated ability to operate in ambiguous problem spaces and independently define technical roadmaps and investment priorities
- Strong communication and collaboration skills, with the ability to influence engineers and stakeholders across varying technical domains
Skills
- Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect.
Compensation
- The US base salary range for this full-time position is $180,000 - $240,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
Benefits
- The US base salary range for this full-time position is $180,000 - $240,000 annually + equity + benefits
Company info
- Attentive Company Values
- Champion the Customer - Our success is defined by our customers' success
- At Attentive, we know that our Company's strength lies in the diversity of our employees.
Equal opportunity
- Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds.
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This listing is sourced directly from Attentive's careers page and normalized into a canonical job model.