Senior Fullstack Engineer

Description

Squatch. 

With a mission to make SMS your number one revenue driving channel, we built the best-in-class SMS marketing platform and launched revenue-driving AI features not available on any other platform. And we're just getting started. 

We are looking for a polyglot Senior Fullstack Engineer to join the Customer Context  team. You’ll help build and scale the foundational services, APIs, and pipelines that power the the company product. This role blends strong backend engineering skills with a deep appreciation for data intensive systems, performance, and reliability. You’ll collaborate closely with other software engineers, data engineers, and product to help e-commerce marketers maximize their revenue with best-in-class targeting and context-driven AI.

This is a high-autonomy role for engineers who are energized by ambiguity, take genuine ownership of their work, and bring a strong point of view on how to build things well, without sacrificing speed or pragmatism. AI isn't a nice-to-have here — it's central to how we work. We expect our engineers to be active practitioners of AI-first development: fluent with the latest agentic coding tools, curious about what's emerging, and constantly pushing the boundary of what's possible with AI in their day-to-day craft. If you're the kind of engineer who's already experimenting with new models and tooling before anyone asks you to, you'll feel at home here.

As a senior engineer at the company, you’ll no longer be only writing code but orchestrating it. 

This position is fully remote and can be based in the US or Canada.

Responsibilities

• Take deep ownership of systems and product areas on your team, and become the go-to technical expert for what you own
• Independently investigate, design, and execute solutions across distributed systems with a high degree of ambiguity
• Architect, build, and maintain highly available, scalable REST APIs and backend services for internal and external use
• Drive system decoupling, modularization, and technical debt reduction.. Improve long-term maintainability without blocking near-term delivery
• Build agentically as your default: leveraging concurrent autonomous agent workflows, owning the output, and keeping a steady queue of aligned work moving
• Stay at the forefront of emerging AI tooling and practices, bringing new techniques back to the team and helping raise the floor for how the company engineers work
• Contribute to how we think about integrating AI into our systems and workflows. That means not just using AI tools, but helping shape where and how AI creates leverage across the engineering org
• Collaborate cross-functionally with product, data, and go-to-market teams by communicating clearly and proactively in an async-first environment
• Identify and eliminate single points of failure, improving system resilience and knowledge redundancy across your team
• Improve how engineering gets done: bring better tools, fix workflow friction, build internal utilities when the leverage compounds

Requirements

• 6+ years of experience building large-scale data-intensive backend systems and APIs
• You are an active, daily user of AI coding tools and are using them to maximize your output — Claude Code, Codex, Cursor, Copilot, or equivalent — and can speak concretely to how they've changed your output and your workflow
• Some or all of these languages: Python, Go, Rust, React, and TypeScript
• You follow the AI tooling landscape closely: new model releases, emerging agentic workflows, and evolving best practices aren't things you catch up on eventually.
• You think critically about AI output and you know where it accelerates you, where it introduces risk, and how to verify what it produces
• You are able to context switch quickly across concurrent workstreams
• Experience working on both 0-to-1 initiatives and complex existing systems, and knowing how to balance building new things with improving what's there
• You have working knowledge of event-driven distributed systems, Kafka, and familiarity with distributed data processing technologies (Flink/Spark/etc)
• Experience growing systems under production customer load, ideally from early days to the multi-terabyte stage
• Experience building and designing high-scale systems AWS with a broad variety of database technologies (RDBMS, OLAP, NoSQL, etc.)
• You know how to intelligently model relational data and design index strategies. You write performant SQL for transactional and analytical workloads
• Experience with infrastructure as code (eg, Terraform). You are comfortable evaluating and applying your infra changes.
• Familiarity building and observing applications on AWS & Kubernetes, ideally with Datadog, Signoz, or comparable observability tooling
• Clear, direct communication. Cross-functional partners and async teams can count on you to surface information proactively
• Strong instincts for technical tradeoffs informed by both engineering best practices and business priorities
• What You'll Love About Us
• Salary range of USD $175,000–$205,000 base plus significant equity (we do not have geo-based salaries)
• High growth startup — plenty of room for you to directly impact the company and grow your career
• Work from home (or wherever in US / Canada)
• Fun — we're passionate and enjoy what we do
• Competitive compensation and opportunity for equity
• Flexible paid time off
• Health, dental, vision insurance
• You are welcome here. The company is an ever-evolving place of equal employment for talented individuals.
• Experience: 5+ years
• Visa: US citizen/visa only