Staff Backend Engineer

Staff Backend Engineer (Argentina) Join to apply for the Staff Backend Engineer (Argentina) role at Winston Artory Group 2 days ago Be among the first 25 applicants About Winston Artory Group WAG is transforming how art and collectibles are valued, managed, and traded. Born from the merger of Winston Art Group (the largest independent appraisal and advisory firm in the U.S.) and Artory (a pioneer in art tokenization), we combine deep industry expertise with technologies like AI and blockchain to modernize a $2.9 trillion global asset class. We're already generating significant revenue and recently raised our Series A from top‑tier VCs. Now, we're building the next‑generation platform to unlock liquidity, trust, and intelligence in the art market—and we're looking for exceptional engineers to help us do it. Why Join Us Meaningful equity and competitive compensation High‑impact role at a growing company with revenue, funding, and a compelling vision Build at the intersection of art, fintech, AI, and blockchain A collaborative, pragmatic team that values speed, clarity, and technical quality Remote‑flexible culture with an HQ in NYC Backed by top VCs and trusted by leading collectors, advisors, and institutions Location Argentina (Remote) About The Role We're hiring a Staff Backend Engineer to be the technical leader and architect of our backend systems. As one of the first engineering hires, you'll own the entire backend architecture—from foundational infrastructure and API design to AI‑driven data pipelines and system scalability. This is a tech lead role: you'll set technical direction, mentor future backend hires, and establish the engineering culture and standards that will scale with the company. Reporting & Collaboration Directly report to the Head of Engineering and partner closely on architecture decisions and technical strategy. Co‑own the backend vision with the Head of Engineering, balancing product needs with long‑term scalability. Work closely with the CPO and company leadership to translate product vision into robust, scalable systems. Actively engage with data and frontend engineers, product team, and leadership on technical roadmap, hiring, and strategy. Communicate technical decisions clearly to non‑technical stakeholders. What You’ll Do Technical Leadership & Architecture : Own the backend architecture from day one—frameworks, databases, infrastructure, patterns. Define technical standards and best practices for code quality, testing, documentation, and deployment. Lead system design for complex problems involving data ingestion, LLM orchestration, and real‑time analytics. Mentor future backend engineers; likely hire and lead 2‑3 backend engineers in the first year. Evaluate and adopt new technologies that improve velocity, reliability, or capabilities. Hands‑On Development : Build and scale core backend systems to ingest, clean, and serve structured data at scale. Design clean, performant APIs for the client portal, data tools, and internal services. Integrate and orchestrate LLM APIs (e.g., OpenAI, Claude, open‑source models). Architect event‑driven systems and asynchronous pipelines (queues, pub/sub) for reliability and scale. Own infrastructure including CI/CD, observability, monitoring, and IaC (Terraform, AWS). Cross‑Functional Collaboration : Collaborate daily with Head of Engineering on roadmap, standards, and technical strategy. Work with product, data, and frontend engineers on APIs, contracts, and integration patterns. Engage with leadership (Head of Engineering, CPO, President) on hiring and long‑term platform vision. Communicate technical decisions clearly to non‑technical stakeholders. You Might Be a Fit If You Required Education: B.S. in Computer Science or equivalent. Language: Fluency in English (written and spoken). Experience: 7+ years of backend engineering with at least 2+ years in a technical lead, staff, or principal role at a high‑growth startup or product company. Leadership: Proven track record of mentoring engineers, leading technical initiatives, and making architectural decisions that scale. Technical Skills: Expert in Python with deep understanding of performance, concurrency, and design patterns. Strong database expertise (PostgreSQL or similar) including query optimization, schema design, and data modeling. Hands‑on experience with LLM/AI integration in production systems (OpenAI, Anthropic, open‑source). Deep knowledge of distributed systems, event‑driven architectures, message queues, and async patterns. Production experience with AWS (or GCP/Azure) including compute, storage, networking, and managed services. Strong DevOps fundamentals: Docker, Kubernetes/ECS, Terraform, CI/CD, monitoring, observability. Data engineering fluency: ETL/ELT, data lakes vs warehouses, pipeline orchestration. Mindset: Balance pragmatism with technical excellence; knows when to move fast and when to invest in infrastructure. Bias toward simplicity and can articulate trade‑offs clearly. Enthusiastic about AI tooling and actively uses tools like Cursor, Claude, or Copilot to increase velocity. Thrives in ambiguity and can chart technical direction with incomplete information. Preferred Experience building 0→1 products at early‑stage startups (seed through Series B). Prior tech lead or staff engineer experience at a Series A+ company. Experience with ML/AI model deployment and managing inference costs/latency. Familiarity with data warehousing (Snowflake, BigQuery, Redshift) and analytics tools. Domain knowledge in art, collectibles, fintech, or fragmented asset classes. Experience hiring and building teams. We Offer Great Benefits, Including A Welcoming Team A friendly, international team working with modern, cutting‑edge technologies. Collaborative, inclusive, and supportive company culture. Transparent communication and regular feedback. Team‑building activities and virtual social events. Employee recognition and appreciation programs. Compensation Salary aligned with experience, skills, and local market benchmarking. Discretionary performance‑based bonuses. Equity option grants of company shares, offering alignment with company success. Health & Flexibility Flexible remote work environment. Paid time off, including vacation, sick leave, and local holiday. Additional leave for bereavement or family emergencies. Growth & Development Opportunities for continuous learning and skill development. Access to training, courses, and knowledge‑sharing sessions. Mentorship and leadership development initiatives. Please note: English fluency is required. Interviews will be conducted in English. ¿Te suena interesante? Esperamos recibir tu candidatura #J-18808-Ljbffr