Jobs at Perficient

Manage Salesforce implementation projects from planning through delivery, including Scrum ceremonies, Agile adaptation, timelines, budgets, risks, resources, vendors, and client communications. Collaborate with account, creative, product, technology, and development teams to resolve issues, clarify requirements, and deliver high-quality solutions on schedule. The role also requires consulting experience, Salesforce implementation leadership, strong communication and problem-solving skills, and the ability to leverage AI responsibly.

Leads growth, go-to-market execution, strategic sales support, alliance engagement, solution commercialization, and client advisory efforts for a Process Automation consulting practice. The role develops automation offerings using ServiceNow, Appian, Pega, AI-enabled automation, workflow orchestration, and low-code platforms while supporting pipeline growth, revenue expansion, market development, and business transformation initiatives.

Support and optimize Salesforce by gathering requirements, documenting user stories and processes, collaborating with stakeholders and technical teams, testing releases, preparing release notes, and resolving ServiceNow support tickets. The role supports UAT, post-release validation, sprint planning, and process improvements. It requires onsite work in Irvine, California, Monday through Friday, with occasional evening release support.

Own the architecture and delivery of Salesforce and Marketo implementations, managed services, integrations, and optimization engagements. Lead client discovery sessions, advise on technical direction, scope new work, support proposals, mentor marketing teams, and resolve complex Marketo configuration and data issues. The role requires strong Marketo expertise, client-facing consulting skills, adaptability, communication, and enthusiasm for using AI tools.

Manage Salesforce implementation projects and organizational change initiatives from planning through delivery. Responsibilities include creating timelines, facilitating Scrum ceremonies, coordinating technical and change workstreams, managing resources and vendors, assessing change impacts, developing stakeholder communications and training, addressing resistance, tracking adoption metrics, and reporting project status, risks, budgets, and readiness. The role requires close collaboration with clients, product leads, account teams, developers, and Scrum Masters in an Agile consulting environment.

Designs and leads enterprise application architecture across .NET, React, and Azure. Responsibilities include defining technical strategies and roadmaps, guiding engineering teams, designing cloud-native systems and APIs, supporting production applications, and improving reliability, observability, performance, security, and scalability. The role also involves stakeholder engagement, technical leadership, mentoring, consulting, distributed-team collaboration, and adoption of AI-assisted development tools such as GitHub Copilot and Claude.

Leads architecture and hands-on development of Java and AWS cloud solutions, including microservices, distributed systems, APIs, and AI-enabled applications. Defines technical strategies, engineering standards, and roadmaps; contributes to coding, reviews, troubleshooting, and deployment. Partners with clients and delivery teams, mentors engineers, supports consulting proposals, and drives scalable, secure, resilient solutions using modern DevOps and agile practices.

Design, develop, and support scalable full-stack, cloud-native applications using Next.js, TypeScript, .NET, Python, AWS, and Kubernetes. Build AI-enabled solutions involving generative AI, LLMs, intelligent assistants, RAG, and workflow automation. Collaborate with architects, product teams, and clients, contribute to architecture and Agile delivery, troubleshoot production systems, establish observability practices, review code, and mentor junior engineers.

Leads enterprise production support strategy and technical architecture for complex application ecosystems. Designs L1-L3 support models, ITIL processes, monitoring and observability frameworks, incident management practices, automation, and AI-enabled operational capabilities. Provides solution architecture, client advisory, governance, modernization, and executive communication while supporting applications built with .NET, Python, Databricks, and Azure. The role also drives reliability, performance, service readiness, operational resilience, and continuous improvement across client environments.

Design, develop, test, document, deploy, and support scalable full-stack applications using React, C#/.NET, and Hack. Build backend services, APIs, integrations, and AI-enabled capabilities including LLM workflows. Participate in Agile planning, code reviews, troubleshooting, client communication, and software delivery while applying modern architecture, DevOps, CI/CD, and automated testing practices.

Designs, operates, and scales AWS cloud infrastructure, networking, and Databricks platforms across multi-account environments. Manages Terraform-based infrastructure, CI/CD pipelines, EKS/Kubernetes clusters, enterprise data integrations, observability, incident response, and governance. Optimizes networking, compute performance, costs, reliability, and production data workloads while partnering with engineering teams on continuous delivery and platform operations.

Designs and implements secure, scalable GCP solutions; leads cloud migration and modernization initiatives; builds GKE Kubernetes platforms; develops Terraform infrastructure; and implements CI/CD, automation, and SRE practices. Collaborates with enterprise clients, translates business needs into technical architectures, mentors team members, supports pre-sales, and helps adopt Google AI services including Vertex AI, BigQuery, and Dataflow.

Leads enterprise marketing automation consulting across discovery, pre-sales, architecture, delivery, and ongoing advisory. Designs AI-first Adobe Marketo Engage solutions, integrations, migrations, campaign architectures, lead management systems, and CRM-connected ecosystems. Develops proposals, business cases, proofs of concept, and implementation plans; mentors practitioners; supports practice growth and thought leadership; and manages strategic client relationships and complex engagements.

Design and lead Salesforce solutions spanning Sales Cloud and Marketing Cloud Account Engagement (Pardot). Scope projects, architect prospect-to-lead/contact sync, drive connector and data governance best practices, mentor consultants, and manage campaign automation, segmentation, and deliverability considerations.

Develop and support InterSystems IRIS and Caché applications for laboratory and healthcare interoperability. Responsibilities include designing ObjectScript classes and productions, building HL7 interfaces, developing APIs and data workflows, optimizing SQL and IRIS data structures, migrating Caché to IRIS, troubleshooting integrations, supporting deployments, and ensuring FDA and HIPAA compliance. The role also involves solution design, root-cause analysis, collaboration with stakeholders, mentoring, and limited onsite sessions.

Leads the strategy, architecture, and implementation of AI-enabled QA capabilities across internal practices and client engagements. Responsibilities include researching AI QA technologies, designing reference architectures, supporting sales and delivery, developing reusable accelerators, managing technology partnerships, creating marketing collateral, and mentoring QA teams. The role requires extensive QA and automation experience, hands-on AI/ML or GenAI expertise, consulting ability, executive communication, and experience with proposals, proofs of concept, demos, and technical solutioning.

Lead the design, configuration, deployment, and optimization of Oracle FCCS solutions. Translate finance requirements into scalable configurations, manage metadata and consolidation logic, support financial close processes, develop reports and dashboards, ensure GAAP/IFRS compliance, troubleshoot performance issues, and provide user training and ongoing support. The role also requires staying current with Oracle Cloud updates and using AI tools responsibly to improve productivity and workflows.

Lead Salesforce architecture for client implementations, specializing in CPQ or Revenue Cloud and multiple Salesforce Clouds. Responsibilities include defining architecture, writing user stories, estimating projects, leading Agile teams, supporting presales, developing proofs of concept, overseeing testing and releases, resolving technical dependencies, engaging stakeholders, and mentoring delivery teams. The role requires strategic leadership, client communication, and hands-on consulting across multiple projects.

Design and lead enterprise Salesforce architectures across multiple clouds, integrations, Data Cloud, Agentforce, AI capabilities, data migration, custom development, security, and DevOps. Partner with clients and stakeholders through workshops, discovery, solutioning, deployment, and technical reviews. Advise executive and technical audiences, support presales activities, mentor delivery teams, and ensure scalable, secure, high-performing implementations.

Lead enterprise Salesforce architecture across multiple client engagements, designing solutions with Salesforce Core, Agentforce, and Data Cloud. Advise executive stakeholders, facilitate discovery and design workshops, develop roadmaps and proofs of concept, estimate projects, guide Agile delivery teams, resolve risks, and mentor technical teams. Drive implementations from strategy through optimization while aligning technology capabilities with business objectives.