Software Engineer II

Iterable is the leading AI-powered customer engagement platform that helps brands create dynamic, individualized experiences at scale. As a Software Engineer II on the Developer Platform Team, you will improve the foundations that Iterable engineers use to build, test, and ship services, focusing on enhancing the developer workflow and contributing to shared engineering foundations.

Responsibilities:

• Improve the core developer workflow: Build and refine the systems engineers use to compile, test, package, and validate their changes with confidence
• Contribute to shared engineering foundations: Work on common libraries, frameworks, build patterns, and service development practices that many teams rely on
• Make CI faster and more reliable: Help improve the feedback loops that keep development moving while preserving quality and release confidence
• Create leverage for product engineers: Turn recurring developer pain points into durable tools, documentation, automation, and platform improvements
• Apply AI to real engineering problems: Use tools like Cursor, Claude, and agent-based workflows to accelerate complex platform work, automate repetitive tasks, and create safer developer experiences
• Partner across engineering: Collaborate with service teams to understand their needs, support adoption, and make the paved path easier to use over time

Requirements:

• Strong software engineering fundamentals in Scala, Java, Kotlin, or another production language; able to read, modify, test, and review service code in a large shared codebase
• Experience with build systems, dependency management, CI, or test infrastructure; familiarity with Bazel, SBT, Maven, Gradle, GitHub Actions, or similar systems is valuable
• Ability to debug complex build, test, and developer workflow failures and turn repeated issues into clear fixes, tooling, documentation, or automation
• Product-minded approach to developer experience; you care about usability, feedback loops, adoption, and whether platform changes actually make engineers faster and more confident
• Comfortable using AI tools such as Cursor, Claude, or similar systems for real engineering work, including codebase exploration, migration support, test generation, CI triage, and agent orchestration
• Good judgment about AI-assisted automation: able to break complex tasks into plans, prompts, verification steps, and review loops with appropriate human oversight and safety guardrails
• Clear communicator who can work with service teams, explain trade-offs, keep stakeholders informed, and make progress in ambiguous technical areas