Addepar - Software Engineer - Workflow Platform
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Requirements
• Technical Practitioner: Highly proficient in Python and Java. You are comfortable diving deep to solve technical hurdles alongside your team, with some assistance from more experienced engineering staff • Technical Practitioner: • Python and Java • Experienced in Cloud & Web: Practical experience (2-5 years) building robust, service-oriented architectures (ideally on AWS). You possess a thorough understanding of web application design patterns, modern deployment methodologies, and scalability • Modern & Balanced AI User: You embrace AI-first development practices. You aren't afraid to use LLMs to help navigate new tech stacks, generate test cases, or optimize performance, ensuring you spend less time on rote tasks and more time on core architecture • Modern & Balanced AI User: • Bridge Builder: Exceptional at translating technical constraints into clear business outcomes for stakeholders across different domains. You will work in close alignment with senior engineering in the team, to ensure your technical recommendations are balanced with long-term business goals • Bridge Builder: • Workflow Experience: Familiarity with Temporal, n8n, Pipedream, or equivalent stateful orchestration systems is a significant plus. You understand the challenges of long-running, distributed workflows at scale • Temporal, n8n, Pipedream • Our Values • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. • Act Like an Owner - • Build Together - Collaborate to unlock the best solutions. Deliver lasting value. • Build Together - • Champion Our Clients - Exceed client expectations. Our clients’ success is our success. • Champion Our Clients - • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. • Drive Innovation - • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. • Embrace Learning -
Responsibilities
• Execution & Delivery: Translate product vision into production-ready code. You’ll work closely with global Product Managers to turn broad business goals into actionable plans, owning the end-to-end execution and navigating technical roadblocks to ensure consistent, high-quality delivery • Execution & Delivery: • Scale the Platform: Help drive the transition to a self-service model and assist with geographic expansion, ensuring our infrastructure remains performant across new global regions, as our team and technology scales • Scale the Platform: • AI Integration: Work at the intersection of workflow orchestration and Agentic AI, helping to aid in the execution of complex, natural-language-driven tasks within a workflow-oriented context • AI Integration: • System Ownership & Reliability: Take end-to-end ownership of service health. This includes participating in design docs, implementing robust monitoring/alerting, and ensuring our distributed systems can handle high-concurrency, long-running, fault tolerant tasks without issue • System Ownership & Reliability: • Collaborative Growth: Engage in deep technical reviews and pair programming sessions to maintain high engineering standards. While you will receive direct mentorship from Staff Engineers to sharpen your architectural skills, you will also help guide more junior contributors as the team scales, fostering a culture of continuous learning and rigorous development • Collaborative Growth:
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