Senior Full-Stack Developer – AI-forward

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $147k - $167k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Smarsh

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2001

💸 Finance

🏢 Enterprise

☁️ SaaS

💰 Private Equity Round on 2016-01

Finance • Enterprise • SaaS

Smarsh is the global leader in communications data and intelligence, focusing on digital communications compliance and risk management in regulated industries. With over two decades of experience, Smarsh delivers AI-enabled solutions to unlock business insights from communications data at scale. Trusted by 95% of top financial firms and managing billions of messages monthly, Smarsh offers services like chat capture, email archiving, and digital risk surveillance. Their platforms are designed to meet the diverse and evolving needs of financial services, government, healthcare, and other industries, enhancing productivity and ensuring compliance with digital communication governance challenges.

📋 Description

• Write production-quality code, design scalable platform capabilities, and set the technical standard for how the team builds. • 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. • 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. • Conduct architecture reviews, solution design sessions, and code reviews for complex implementations across Apex, LWC, Flow, and CPQ. • Build and maintain CI/CD pipelines using Salesforce DX, Gearset, GitHub, and other industry-standard tools. • Mentor and coach engineers across teams on Salesforce development and engineering best practices.

🎯 Requirements

• 10+ years of professional software engineering experience, with at least 5 years focused on the Salesforce platform in complex, multi-cloud enterprise environments. • Advanced programming skills in Apex and SOQL/SOSL. • Competence in Lightning Web Components, HTML, JavaScript, and CSS. • Proficiency in Python or another object-oriented programming language. • Experience with the MuleSoft Integration Platform and DataWeave. • Experience with AWS and cloud development. • Demonstrated fluency with AI chat and coding tools (e.g., Claude, ChatGPT, and open-source alternatives) as part of an AI-first development workflow. • Experience building and maintaining Claude plugins (or comparable AI tooling/extensions). • Experience utilizing and supporting MCP servers. • A genuine, ongoing investment in the AI market landscape — staying current on new and best-in-class tools and a track record of bringing them into team workflows. • Experience working on a traditional engineering team in close partnership with Product. • Proficiency in REST and SOAP APIs. • Proficiency in modern software design and architecture. • Salesforce Administrator and Salesforce Developer / Platform Developer certifications. • Experience with DevOps and CI/CD pipelines — GitHub and Gearset. • Strong analytical, design, and problem-solving skills. • Ability to gather and document business requirements effectively. • Outstanding verbal and written communication skills, with the ability to collaborate effectively within cross-functional teams.