Software Engineer II
Chicago, IllinoisAll locationsChicago, IllinoisAtlanta, GeorgiaAustin, TexasBoston, MassachusettsDenver, ColoradoNew YorkREMOTE - US Remote
$114,500–$188,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
As a Software Engineer II on the Developer Platform Team, you will help improve the Scala, Bazel, and CI foundations that Iterable engineers use every day to build, test, and ship services. This is a hands-on engineering role for someone with a solid programming background who enjoys working close to the codebase, build system, and developer workflow. You will independently own moderate-complexity projects, contribute directly to the Bazel build platform, core Scala libraries shared by services, and partner with product engineering teams to turn recurring developer pain into durable platform improvements. You will also help shape how Iterable uses AI-assisted and agentic engineering practices to make complex development work faster, safer, and more repeatable.
What you'll bring
- We prioritize strong engineering fundamentals, practical systems thinking, and the ability to use modern AI tooling thoughtfully.
- You do not need to have used our exact stack, but you should be comfortable learning deeply, working in shared codebases, and building tools other engineers depend on.
- 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.