Senior Software Engineer (Dev Platform)
Iterable is the AI customer engagement platform, built for enterprise scale, loved by teams, and trusted by global brands like Redfin, SeatGeek, Priceline, Calm, and Box. Our platform empowers organizations to activate customer data from any source, design seamless cross-channel experiences, and optimize engagement with Nova Intelligence, the AI layer of our platform, all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.
Our success is powered by extraordinary people who bring our core values to life every day: Be an Owner, Growth Mindset, Run as One, and Transparency. And the market has noticed: G2 recognizes Iterable as a Leader globally, spanning the Americas, EMEA, APAC, ANZ, and Latin America, with category leadership in Personalization, Marketing Automation, Push Notifications, and Mobile Marketing, and a 4.5/5-star rating from hundreds of users. Gartner named Iterable a Challenger in the Gartner Magic Quadrant for Multichannel Marketing in both 2024 and 2025. We’ve also earned TrustRadius Top Rated honors in 2024 and 2025, were named a TrustRadius Buyer’s Choice for 2026, and were featured in Snowflake’s Modern Marketing Data Stack 2026.
With a global presence that includes offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide, we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!
As a Senior Software Engineer on the Developer Platform Team, you will improve the platform foundations that Iterable engineers rely on to build, test, deploy, and operate services safely at scale. Your work will span the developer workflow end-to-end: from Scala, Bazel, and CI systems, through deployment workflows and self-service platforms, down to the Kubernetes and cloud infrastructure that make those experiences reliable in practice.
This is a hands-on senior engineering role for someone who is equally comfortable improving the inner loop for developers and owning the production platform systems behind it. You will lead high-leverage projects across build, test, deployment, and runtime infrastructure; drive work that reduces developer friction while improving reliability and cost efficiency; and partner closely with product engineering, infrastructure, security, and SRE to turn platform pain points into durable solutions.
- Own the developer delivery path end to end: Improve the systems engineers' use to build, test, package, deploy, and validate changes with confidence across local development, CI, and production rollout workflows.
- Lead shared engineering foundations: Evolve common libraries, build patterns, service templates, internal platform capabilities, and paved-path workflows that many teams depend on.
- Improve CI performance, capacity, and reliability: Drive improvements to build and test feedback loops, runner health, workload placement, and failure isolation so engineers get faster, more predictable results.
- Strengthen deployment and release infrastructure: Own and improve the control-plane systems that underpin delivery, including GitOps workflows, rollout orchestration, self-service deployment tooling, and the operational paths used to debug and recover production changes.
- Take ownership of platform runtime infrastructure: Help operate and improve the Kubernetes and cloud infrastructure that underpins the engineering workflow, including cluster behavior, node-pool strategy, workload scheduling, access patterns, and reliability guardrails.
- Turn recurring friction into durable leverage: Diagnose repeated failure modes across build, CI, deploy, and runtime systems, then solve them through automation, better defaults, observability, documentation, and platform product improvements.
- Use AI to accelerate platform engineering safely: Apply tools like Cursor, Claude, and agentic workflows to codebase migrations, CI triage, platform automation, and internal tooling development with strong verification and guardrails.
- Partner across engineering with senior ownership: Work closely with service teams and technical leaders to guide adoption