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 1200 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. Weve also earned TrustRadius Top Rated honors in 2024 and 2025 were named a TrustRadius Buyers Choice for 2026 and were featured in Snowflakes 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. Lets 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 explain trade-offs lead migrations and make the paved path easier to use over time.

We prioritize strong software engineering fundamentals systems thinking and the ability to own ambiguous cross-cutting platform problems from diagnosis through rollout. You do not need to have used our exact stack but you should be comfortable learning deeply operating in shared production systems and building tools and infrastructure that other engineers depend on every day.

• 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 owning a developer platform or infrastructure systems such as build platforms CI/CD deployment tooling internal developer portals Kubernetes platforms or cloud runtime infrastructure.
• Strong working knowledge of build systems and delivery workflows; familiarity with Kubernetes GitHub Actions ArgoCD Backstage Bazel EngFlow
• Ability to debug complex failures that cross boundaries between application code build tooling CI runners deployment systems Kubernetes and cloud infrastructure.
• Experience leading migrations or foundational platform changes with a meaningful blast radius including rollout planning risk management communication and follow-through on adoption.
• Product-minded approach to internal platform engineering; you care about usability feedback loops self-service operational clarity and whether platform investments make engineers faster and more confident.
• Comfort 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 across product engineering infrastructure and security teams explain trade-offs keep stakeholders informed and make steady progress in ambiguous technical areas.

• Competitive salaries & meaningful equity
• Private Medical Insurance
• Life/Risk Assurance
• Meal Allowance: 8.55 per day
• Community Days (days for us to give back to the community)
• Paid Annual Leave (22 days)
• Global Lifestyle Reimbursement Account
• Paid Sabbatical
• Complete laptop workstation

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