This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description - Design and build integrations across system boundaries, including backend services (TypeScript/Python), Salesforce (Apex, Flows), and data platforms such as Snowflake. - Implement reliable interfaces and data access primitives used by agentic workflows, including well-bounded tool interfaces, filtering constraints, and normalized data contracts. - Design APIs, event flows, and service contracts that enable agents and human workflows to interact safely with operational systems. - Improve reliability and observability across integration boundaries through testing, monitoring, and clear error classification and remediation patterns. - Reason about logic placement across system layers (Salesforce, backend services, data pipelines, agent layers) and implement solutions in the appropriate system. - Collaborate with engineering leadership, product managers, and domain experts to shape architecture decisions and drive improvements in system design. - Work directly with real-world operational data across systems (Salesforce, Postgres, Snowflake) and design access patterns usable by both product workflows and agent systems. - Contribute to the development of AI-enabled workflows and agent infrastructure, ensuring systems remain predictable, auditable, and production-ready. Qualifications - Strong software engineering fundamentals, including API design, data modeling, and building reliable production services. - Experience designing and implementing integrations between enterprise platforms and custom backend systems. - Systems thinker who naturally reasons about service boundaries, coupling, and long-term maintainability. - Comfortable working across heterogeneous stacks and selecting the right tool for the job. - Proven ability to take ownership of ambiguous problems and drive solutions end-to-end. - Experience working with real-world operational data and designing reliable integration patterns across systems. - Strong communication skills and the ability to clearly articulate architectural tradeoffs. - Comfortable collaborating across engineering, product, and domain stakeholders to align technical decisions with business needs. Requirements - Experience with Salesforce development (Apex, Flows, platform events, data modeling constraints). - Experience working with Snowflake or building data synchronization / reverse ETL workflows. - Familiarity with agent frameworks or tool-calling patterns used in LLM systems. - Experience with event-driven architectures and workflow orchestration tools. - Experience in regulated domains such as insurance, fintech, or healthcare. - Familiarity with AWS services and distributed backend infrastructure. Benefits - 💰 Competitive compensation and equity packages - ⚕️ Health, dental, and vision insurance - 🍼 Parental leave - 🌴 Flexible vacation time - 🪷 Wellness allowance - 🛜 Technology allowance - 📚 Company-sponsored personal and professional development - 🏫 L&D: Partnerships with Ethena and monthly Lunch & Learns - 🧘 Wellbeing: access to many wellbeing perks, including Peloton, Fetch, OneMedical, Headspace care+, etc. - 🤗 Caregiver Support: company seed into the dependent care FSA and company sponsored Care.com membership. - 📊 Regular performance reviews: Vouch conducts regular performance discussions with all team members, offering goal setting and check-ins, development discussions, and promotion opportunities.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The MuleSoft Developer designs, develops, and deploys secure integration and API solutions using the MuleSoft Anypoint Platform within complex Federal government environments. This role works closely with Solution Architects, BAs, and PMs to implement customized, scalable, and compliant integration flows aligned to mission needs. - Develop, configure, and manage high-performance APIs and integration flows using MuleSoft’s product suite (Anypoint Studio, Anypoint Platform, Anypoint Monitoring, CloudHub logging, and integration with tools like Splunk or AppDynamics). - Implement data transformation, routing, and filtering logic within Mule flows using DataWeave. - Collaborate with the Solution Architect to ensure development adheres to established API strategy, governance frameworks, and Federal security standards and compliance policies (e.g., proper handling of PII/PHI, secure credential management, TLS/SSL, PKI, OAuth, and SAML integration). - Ensure all system architectures and deployments maintain strict adherence to FISMA and FedRAMP requirements to facilitate a streamlined ATO process. - Participate in testing, debugging, and performance tuning of integration solutions to ensure high availability and scalability. - Contribute to CI/CD pipelines and automated testing, ensuring DevSecOps practices align with specific agency standards and federal documented adherence mandates. - Actively participate in all Agile/Scrum ceremonies, including daily stand-ups, sprint planning, and retrospectives, to ensure consistent delivery within the federal project lifecycle. - Maintain rigorous documentation of system changes and security controls to meet the continuous monitoring requirements of federal oversight. - Collaborate effectively within a multi-vendor environment, coordinating with diverse contractors, government leads, and systems integrators to ensure seamless interoperability and project success. Qualifications - Must be a U.S. Citizen (required). - 3-5+ years of professional development experience, with at least 2 years dedicated to MuleSoft Anypoint Platform development within Federal or Public Sector programs. - Hands-on experience with MuleSoft deployment topologies (CloudHub, Runtime Fabric, hybrid, on-prem). - Familiarity with Salesforce integration patterns. - Experience working in Agile/Scrum delivery models within Federal programs. - Proficient in Mule Runtime (Mule 4), DataWeave, Anypoint Exchange, API Manager, and developing connectors or custom components. - Familiarity with Federal interoperability standards (REST/SOAP, XML, JSON, HL7, NIEM, X12). - Experience with modern DevSecOps tools (e.g., Git, Jenkins, Azure DevOps), secure coding practices, and unit testing frameworks. - Willingness to attain a U.S. Security Clearance (e.g., Public Trust, Secret) as required by specific projects. Current clearance is not required to apply. - Bachelor’s degree in Computer Science, Engineering, or a related technical field is required. Requirements - MuleSoft Certified Developer – Level 1 (Mule 4) (Strongly Preferred). - MuleSoft Certified Developer – Level 2 (preferred). Benefits - Comprehensive Benefits with Sequoia – Medical, Dental, Vision, and Employer-Paid Life/Disability Insurance to keep you and your loved ones covered. - Ownership & Impact – Stock options in a fast-moving, high-growth company. Every employee plays a part in what we’re building. - Level Up Your Career – Real opportunities to grow your Salesforce and Amazon expertise through mentorship, certifications, and hands-on experience with cutting-edge technology. - Work from anywhere (well, almost 😉) - Enjoy the freedom of remote work, flexible PTO (with a 2-week minimum!), and generous leave policies - because the best work happens where you’re happiest. - People-First Flexibility – We’re always listening, evolving, and adapting. Your feedback helps shape our policies, ensuring you can thrive - professionally and personally.

• Define, control, and communicate global standards for manufacturing assets • Develop and deploy equipment reliability improvement strategies using industry best practices • Lead investigations into equipment failures and chronic issues • Drive continuous improvement initiatives focused on reducing equipment downtime and improving quality outcomes • Collaborate with cross-functional teams to validate design specifications and implement preventive and predictive maintenance programs • Provide technical leadership for asset management and support the design, installation, commissioning, and qualification of new equipment

• Lead and scale the AI, ML, and LLM engineering teams, fostering innovation, technical excellence, and high performance • Define and execute the AI and advanced analytics roadmap, from ideation through production deployment • Drive the implementation of state-of-the-art technologies, including generative AI, automation, and intelligent systems • Partner with engineering, IT, and business leaders to embed AI-driven solutions into core engineering and operational processes • Lead organizational efficiency initiatives, including process optimization, automation, and productivity improvement programs • Identify opportunities to improve engineering efficiency, quality, and speed through technology and data-driven insights • Establish best practices for AI governance, scalability, security, and ethical use • Manage budgets, vendors, and technology partners related to AI and digital transformation • Mentor and develop technical leaders and teams, building a strong innovation culture