{"schemaVersion":"jobsearcher.job.v1","id":"aca727273fe8f67f33562550","url":"https://jobsearcher.com/jobs/aca727273fe8f67f33562550","canonicalUrl":"https://jobsearcher.com/jobs/aca727273fe8f67f33562550","title":"Sr. Full-Stack Developer - AI-forward","description":"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.\nThis 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.\nOur 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.\nCentral 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.\nThis 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.\nEssential Functions\nAI-SDLC & Engineering Tooling\nApply 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.\nBuild and maintain Claude plugins and related tooling that extend AI capabilities into the team’s engineering workflows.\nBuild, integrate, and support MCP (Model Context Protocol) servers that connect AI tooling to the team’s systems and data.\nStay 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.\nEstablish patterns and guardrails for safe, effective, and consistent AI-assisted development across the team.\nPlatform Engineering & Reusable Capabilities\nDeliver 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.\nDesign 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.\nWrite 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.\nDevelop and maintain integration systems and tooling outside of Salesforce, including REST and SOAP APIs, MuleSoft, and ETL tools.\nBuild services and automation in Python or another object-oriented language where it is the right tool for the job.\nArchitecture, Code Quality & Delivery\nConduct architecture reviews, solution design sessions, and code reviews for complex implementations across Apex, LWC, Flow, and CPQ, identifying opportunities for shared patterns and platform libraries.\nApply general software engineering and cloud development best practices, designing, building, and operating solutions on AWS and other cloud services.\nBuild and maintain CI/CD pipelines using Salesforce DX, Gearset, GitHub, and other industry-standard tools, implementing automated testing strategies, schema validation, and deployment automation that reduce friction and enable safe, frequent releases.\nConduct and participate in code reviews in GitHub, providing and receiving constructive feedback to continuously raise the quality bar.\nManage and support sandbox and production environments across the enterprise to ensure successful development, testing, and deployment of new features and functionality.\nMaintain version control and branch hygiene, and ensure code coverage through unit testing.\nInvestigate and resolve bugs and production issues autonomously.\nKeep abreast of Salesforce releases and effectively leverage relevant updates; support all releases and maintain system uptime in accordance with SLAs.\nLog and track work in a structured ticketing system (Jira).\nLeadership, Mentorship & Collaboration\nMentor and coach engineers across teams on Salesforce development, CPQ configuration, architectural patterns, and engineering best practices, raising the technical bar organization-wide.\nCollaborate cross-functionally with teams across the entire organization to translate business requirements into scalable platform capabilities.\nInfluence the technology roadmap by identifying strategic technical investments, managing technical debt, and aligning platform capabilities with business growth objectives.\nEstablish yourself as a primary point of contact for your area of expertise, actively seeking clarification when necessary.\nEducation and Experience\n10+ years of professional software engineering experience, with at least 5 years focused on the Salesforce platform in complex, multi-cloud enterprise environments.\nAdvanced programming skills in Apex and SOQL/SOSL.\nCompetence in Lightning Web Components, HTML, JavaScript, and CSS.\nProficiency in Python or another object-oriented programming language.\nExperience with the MuleSoft Integration Platform and DataWeave.\nExperience with AWS and cloud development.\nDemonstrated fluency with AI chat and coding tools (e.g., Claude, ChatGPT, and open-source alternatives) as part of an AI-first development workflow.\nExperience building and maintaining Claude plugins (or comparable AI tooling/extensions).\nExperience utilizing and supporting MCP servers.\nA 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.\nExperience working on a traditional engineering team in close partnership with Product.\nProficiency in REST and SOAP APIs.\nProficiency in modern software design and architecture.\nSalesforce Administrator and Salesforce Developer / Platform Developer certifications.\nExperience with DevOps and CI/CD pipelines — GitHub and Gearset.\nStrong analytical, design, and problem-solving skills.\nAbility to gather and document business requirements effectively.\nOutstanding verbal and written communication skills, with the ability to collaborate effectively within cross-functional teams.\nAdditional Eligibility Qualifications\nExperience with distributed systems and enterprise-level integrations.\nExperience with container-based and serverless architectures, including Docker, Kubernetes, and related orchestration tools.\nExperience with general-purpose languages and frameworks beyond the Salesforce ecosystem (Go, Ruby, JavaScript/Vue.js, Node.js) and cloud-native development on AWS (Lambda, ECS, Fargate, CodePipeline).\nSalesforce Platform Developer II certification.\nExperience with Salesforce CPQ and Billing.\nExperience implementing Salesforce Experience Cloud.\nWorking knowledge of additional high-level programming languages (C#, Java, Go, Ruby, etc.).\nBachelor’s degree in Computer Science, Business, or Information Systems.\nThe above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.\nThe salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.\nLocal cost of living assessments are done for each new hire at the time of offer.","company":"Smarsh","rawCompany":"smarsh","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-03T18:12:21.444Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Full-Stack Developer - AI-forward","description":"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.\nThis 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.\nOur 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.\nCentral 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.\nThis 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.\nEssential Functions\nAI-SDLC & Engineering Tooling\nApply 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.\nBuild and maintain Claude plugins and related tooling that extend AI capabilities into the team’s engineering workflows.\nBuild, integrate, and support MCP (Model Context Protocol) servers that connect AI tooling to the team’s systems and data.\nStay 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.\nEstablish patterns and guardrails for safe, effective, and consistent AI-assisted development across the team.\nPlatform Engineering & Reusable Capabilities\nDeliver 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.\nDesign 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.\nWrite 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.\nDevelop and maintain integration systems and tooling outside of Salesforce, including REST and SOAP APIs, MuleSoft, and ETL tools.\nBuild services and automation in Python or another object-oriented language where it is the right tool for the job.\nArchitecture, Code Quality & Delivery\nConduct architecture reviews, solution design sessions, and code reviews for complex implementations across Apex, LWC, Flow, and CPQ, identifying opportunities for shared patterns and platform libraries.\nApply general software engineering and cloud development best practices, designing, building, and operating solutions on AWS and other cloud services.\nBuild and maintain CI/CD pipelines using Salesforce DX, Gearset, GitHub, and other industry-standard tools, implementing automated testing strategies, schema validation, and deployment automation that reduce friction and enable safe, frequent releases.\nConduct and participate in code reviews in GitHub, providing and receiving constructive feedback to continuously raise the quality bar.\nManage and support sandbox and production environments across the enterprise to ensure successful development, testing, and deployment of new features and functionality.\nMaintain version control and branch hygiene, and ensure code coverage through unit testing.\nInvestigate and resolve bugs and production issues autonomously.\nKeep abreast of Salesforce releases and effectively leverage relevant updates; support all releases and maintain system uptime in accordance with SLAs.\nLog and track work in a structured ticketing system (Jira).\nLeadership, Mentorship & Collaboration\nMentor and coach engineers across teams on Salesforce development, CPQ configuration, architectural patterns, and engineering best practices, raising the technical bar organization-wide.\nCollaborate cross-functionally with teams across the entire organization to translate business requirements into scalable platform capabilities.\nInfluence the technology roadmap by identifying strategic technical investments, managing technical debt, and aligning platform capabilities with business growth objectives.\nEstablish yourself as a primary point of contact for your area of expertise, actively seeking clarification when necessary.\nEducation and Experience\n10+ years of professional software engineering experience, with at least 5 years focused on the Salesforce platform in complex, multi-cloud enterprise environments.\nAdvanced programming skills in Apex and SOQL/SOSL.\nCompetence in Lightning Web Components, HTML, JavaScript, and CSS.\nProficiency in Python or another object-oriented programming language.\nExperience with the MuleSoft Integration Platform and DataWeave.\nExperience with AWS and cloud development.\nDemonstrated fluency with AI chat and coding tools (e.g., Claude, ChatGPT, and open-source alternatives) as part of an AI-first development workflow.\nExperience building and maintaining Claude plugins (or comparable AI tooling/extensions).\nExperience utilizing and supporting MCP servers.\nA 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.\nExperience working on a traditional engineering team in close partnership with Product.\nProficiency in REST and SOAP APIs.\nProficiency in modern software design and architecture.\nSalesforce Administrator and Salesforce Developer / Platform Developer certifications.\nExperience with DevOps and CI/CD pipelines — GitHub and Gearset.\nStrong analytical, design, and problem-solving skills.\nAbility to gather and document business requirements effectively.\nOutstanding verbal and written communication skills, with the ability to collaborate effectively within cross-functional teams.\nAdditional Eligibility Qualifications\nExperience with distributed systems and enterprise-level integrations.\nExperience with container-based and serverless architectures, including Docker, Kubernetes, and related orchestration tools.\nExperience with general-purpose languages and frameworks beyond the Salesforce ecosystem (Go, Ruby, JavaScript/Vue.js, Node.js) and cloud-native development on AWS (Lambda, ECS, Fargate, CodePipeline).\nSalesforce Platform Developer II certification.\nExperience with Salesforce CPQ and Billing.\nExperience implementing Salesforce Experience Cloud.\nWorking knowledge of additional high-level programming languages (C#, Java, Go, Ruby, etc.).\nBachelor’s degree in Computer Science, Business, or Information Systems.\nThe above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.\nThe salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.\nLocal cost of living assessments are done for each new hire at the time of offer.","datePosted":"2026-08-03T18:12:21.444Z","dateModified":"2026-08-03T18:12:21.444Z","hiringOrganization":{"@type":"Organization","name":"Smarsh","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aca727273fe8f67f33562550"},"url":"https://jobsearcher.com/jobs/aca727273fe8f67f33562550"}}