Senior Software Engineer, Full Stack

As a Senior Software Engineer at Postscript, you'll be a high-ownership contributor to one of our core product or platform teams — owning meaningful systems end-to-end, driving technical quality, and helping shape how we build across the organization. Our engineering teams operate at the intersection of scale and product velocity, which means you'll be working on distributed systems that matter to the business while also influencing the technical standards that allow Postscript to grow sustainably.

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 Postscript, 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.

• Take deep ownership of systems and product areas on your team — becoming 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 — improving 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 Postscript engineers work
• Contribute to how we think about integrating AI into our systems and workflows — 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 — 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

• 6+ years of experience building large-scale backend systems and APIs
• You are an active, daily user of AI coding tools and are using them to maximize your output — Claude Code, Cursor, Copilot, or equivalent — and can speak concretely to how they've changed your output and your workflow
• Tech stack: Python, Go, React, and TypeScript; experience with Kubernetes, AWS, Datadog, and relational/NoSQL databases. You run agentic workflows autonomously and concurrently.
• 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 — they're things you're tracking in real time
• You think critically about AI output — you know where it accelerates you, where it introduces risk, and how to verify what it produces
• You are able to context switch extremely 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
• Strong command of relational and NoSQL databases, SQL, and thoughtful database modeling
• Familiarity building and observing applications on AWS, and ideally with Datadog 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

• 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)
• Fun — we're passionate and enjoy what we do
• Competitive compensation and opportunity for equity
• Flexible paid time off
• Health, dental, vision insurance