Sr. Full-Stack Developer - AI-forward

We are seeking a Senior Full-stack Engineer to join our Engineering & Integration (E&I) team. The ideal candidate blends deep full-stack development expertise with strong general software engineering skills, experience developing in Salesforce environments, and a commitment to harnessing AI-augmented development and other cutting-edge technologies to address complex business challenges.

This is an engineering role first. You will write production-quality code, design scalable platform capabilities, and set the technical standard for how the team builds. Our primary tools and languages span Salesforce, MuleSoft, AWS and other cloud services, Python, and front-end development.

Our team operates at the bleeding edge of IT. We function as a combined Product and Engineering team under the IT umbrella, rewriting the build-vs-buy ratio that IT organizations have lived under for decades — building custom, in-house solutions to problems that are normally reserved for purchased SaaS. We hold ourselves to a high standard of excellence in every product we build and maintain.

Central to this role is our AI-SDLC methodology — an AI-native software development lifecycle in which we utilize a variety of AI models in conjunction with AI coding tools as a core part of how we design, build, test, and ship software. We expect you to be fluent with these tools, to stay invested in the rapidly evolving AI landscape, and to actively bring the best of it into the team’s day-to-day work.

This role is an integral part of the E&I Engineering Team, collaborating closely with Operations, Finance, Accounting, Sales, Support, Implementation, Product, Engineering, and key stakeholders from other functional units to develop and sustain the processes and data that support Smarsh’s diverse business needs. The team is entrusted with conceiving, implementing, testing, maintaining, and optimizing software solutions that align with the organization’s objectives.

Essential Functions

AI-SDLC & Engineering Tooling

• Apply and advance our AI-SDLC methodology, using AI chat and coding tools as a core part of the development lifecycle — including Claude, ChatGPT, and open-source alternatives.
• Build and maintain Claude plugins and related tooling that extend AI capabilities into the team’s engineering workflows.
• Build, integrate, and support MCP (Model Context Protocol) servers that connect AI tooling to the team’s systems and data.
• Stay invested in and current with the AI market landscape, continuously evaluating new and best-in-class tools and identifying practical ways to implement them in the team’s day-to-day work.
• Establish patterns and guardrails for safe, effective, and consistent AI-assisted development across the team.

Platform Engineering & Reusable Capabilities

• Deliver reusable platform capabilities such as unlocked packages, shared Apex and LWC libraries, custom metadata frameworks, and CPQ configuration patterns that reduce duplication, enforce consistency, and accelerate team velocity.
• Design scalable solutions using Salesforce DX, platform events, custom metadata types, and cloud-specific best practices, creating the “paved path” that domain teams follow to build reliable, governed features.
• Write production-quality Apex, Lightning Web Components, and integration code. You are expected to contribute directly to the most complex and high-stakes engineering work, not just review it.
• Develop and maintain integration systems and tooling outside of Salesforce, including REST and SOAP APIs, MuleSoft, and ETL tools.
• Build services and automation in Python or another object-oriented language where it is the right tool for the job.

Architecture…