Jobs at Lifted, an Upwork Company

Build and maintain Node.js backend services, APIs, integrations, and React/Next.js web experiences for a headless CMS platform. Responsibilities include Contentstack schema management, reusable UI components, dynamic forms, personalization, A/B testing, automated testing, performance optimization, CI/CD, and platform reliability. The role requires strong JavaScript, TypeScript, backend, React, SSR, API, CMS, and testing experience, with AI-assisted development used in daily engineering workflows.

Record short video and audio clips for an AI research initiative focused on understanding human tone, intent, and emotion. Tasks may include acting scripted lines in varied emotional styles and transcribing spoken content. Candidates must be fluent in Indonesian, expressive, comfortable speaking on camera, and able to provide a quiet recording environment with suitable video equipment. The opportunity is fully remote with a flexible schedule.

Develop AI-assisted software development capabilities that automate workflows and improve developer productivity. Apply coding assistants, large language models, prompt engineering, Model Context Protocol, and agentic development environments to build product features, tooling, and infrastructure. Troubleshoot coding and AI-related issues, take technical ownership, and communicate solutions effectively. The contract requires full US Central Time coverage for candidates based in LATAM.

Provide professional personal-finance expertise to help design and train autonomous AI agents. Experts must serve individual clients in areas such as personal tax, investments and retirement, comprehensive financial planning, estate planning, debt and life events, or equity compensation. Work includes producing real deliverables such as financial plans, Excel models, and completed tax filings. The schedule is flexible, but task volume is not guaranteed.

Build and operate production MCP-based services that provide enterprise context to AI agents. Responsibilities include developing read-only integrations across collaboration, productivity, and developer systems; understanding and reviewing production code; troubleshooting; and owning implementation through delivery. The role requires hands-on AI and agentic development, Java or Go experience, Git proficiency, end-to-end product development, and strong technical ownership. MCP experience, enterprise experience, and agent adoption experience are preferred.

Support a large-scale JavaScript modernization initiative by migrating applications to newer JavaScript versions, transitioning package management from npm to pnpm, troubleshooting dependency and migration issues, and collaborating with application teams. The role also focuses on improving migration consistency, reliability, automation, build optimization, and dependency management across an enterprise application ecosystem.

Hands-on Java Software Engineer supporting modernization of over 4,000 enterprise applications. Responsibilities include migrating applications to Spring Boot 3 and 4, upgrading Gradle 8 to 9 and Java 17 to 25, troubleshooting framework, dependency, build, and runtime issues, collaborating with engineering teams, and communicating migration findings and resolutions. Large-scale modernization, migration automation, build optimization, dependency management, AI tools, and enterprise Java experience are preferred.

Design, build, and optimize Salesforce Data Cloud solutions, including data ingestion, identity resolution, unified profiles, segmentation, calculated insights, activation, and enterprise integrations. Develop APIs, middleware, and ETL integrations; troubleshoot data and platform issues; support data quality, governance, security, and compliance; and document technical designs and operational processes. Collaborate with stakeholders to deliver scalable customer data and activation solutions.

Develop and optimize Salesforce Data Cloud and Marketing Cloud solutions for customer data ingestion, profile unification, segmentation, audience activation, journeys, automations, triggered sends, and omnichannel campaigns. Build integrations, troubleshoot platform issues, support testing and deployments, optimize performance, and ensure security, compliance, and data governance. Collaborate cross-functionally, document technical solutions, and contribute to Salesforce development best practices.

Develop and configure Salesforce Data Cloud and Marketing Cloud solutions for customer data unification, segmentation, audience activation, journeys, automations, triggered communications, and omnichannel engagement. Build integrations, support testing and deployments, troubleshoot production issues, optimize performance, and ensure security, compliance, governance, and technical documentation standards. Collaborate with cross-functional teams on scalable campaign data models and activation strategies.

Maintain and modernize internal candidate and employee lifecycle applications. Develop Python/Django back-end services, Java/Spring Boot services, and TypeScript/React front ends. Build REST API integrations, integrate LLMs and generative AI capabilities, and implement secure authentication, authorization, data controls, auditability, and AI governance. Troubleshoot defects, improve scalability and maintainability, document technical work, use JIRA effectively, and independently own applications and integrations.

Develop and maintain Java backend services and data-processing components. Build scalable data ingestion, transformation, APIs, integrations, and distributed services. Contribute to system design, testing, production operations, troubleshooting, performance improvements, code reviews, and technical documentation while collaborating in Agile engineering teams.

Design and maintain scalable Spark and cloud-based data processing systems, including batch and distributed pipelines, data transformation, feature preparation, and AI/ML workflow integration. Optimize performance, cost, scalability, data quality, governance, and reliability across development and production environments. Collaborate with engineering, AI, and product teams while troubleshooting issues and contributing to architecture, documentation, and engineering standards.

Designs and scales AI-powered applications, backend services, AI agents, agentic workflows, and MCP integrations with external tools and platforms. Responsibilities include prompt orchestration, context management, tool calling, memory, evaluation, production support, observability, reliability, cost and safety optimization, incident resolution, documentation, and collaboration with engineering and product teams.

Lead end-to-end technical delivery across Salesforce, AI agents, enterprise integrations, and workflow automation. Responsibilities include solution architecture, stakeholder collaboration, technical design reviews, project planning, risk and dependency management, AI workflow development, governance, and mentoring engineering teams. The role requires hands-on Salesforce and AI agent experience, strong integration and enterprise application design knowledge, and coordination across business, product, data, and engineering teams.

Analyze business data with SQL, build stakeholder dashboards and recurring reports, document JIRA requirements and acceptance criteria, define semantic metrics and glossary content, validate data quality, and present actionable findings. The role bridges technical and business teams, translating questions into structured analysis and improving reporting clarity. This is a remote LATAM contract requiring U.S. Central Time coverage and 100% allocation.

Develop and optimize Salesforce Data Cloud and Marketing Cloud solutions for customer data ingestion, profile unification, segmentation, audience activation, journeys, automations, and omnichannel campaigns. Build integrations, support testing and deployments, troubleshoot production issues, optimize performance, and ensure security, compliance, governance, and technical documentation standards.

Build and maintain Salesforce CI/CD pipelines using Copado, manage deployments across development through production, and support version control, branching, release orchestration, environment strategy, rollback, testing, governance, and troubleshooting. The role partners with developers, administrators, QA, and business stakeholders to automate deployment tasks, document procedures, and improve release reliability across enterprise Salesforce environments.

Develop and support scalable Salesforce CRM solutions using Apex, SOQL, Lightning Web Components, Flows, triggers, asynchronous processing, and REST integrations. Implement Agentforce and AI-enabled workflows, optimize performance and security, troubleshoot production issues, and collaborate with stakeholders on technical solutions. Participate in testing, code reviews, deployments, release planning, and documentation.

Develop and implement Salesforce Marketing Cloud and Data Cloud solutions for audience creation, customer journeys, data activation, campaign orchestration, automation, personalization, and integrations. Build data pipelines, segmentation, identity resolution, and activation workflows; troubleshoot platform and campaign issues; monitor data quality and performance; and document technical solutions. Collaborate with marketing, CRM, product, analytics, and technical stakeholders. This is a remote APAC contract requiring U.S. Central Time coverage through approximately March 2027.