Staff Backend Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish the technical direction for Conversica's backend platform, taking ownership of architectural decisions that encompass integrations, data, messaging, and orchestration throughout the entire system.

• Lead cross-functional initiatives that involve multiple engineering teams, collaborating with AI Engineering, Product, and Integrations leadership to define platform strategy and roadmap.

• Define and advance organization-wide engineering standards for backend service design, data modeling, integration patterns, observability, and operational excellence.

• Identify systemic reliability, scalability, and performance risks across the platform, spearheading the engineering response.

• Mentor senior and mid-level engineers within the backend organization, enhancing the technical standards through design reviews, written technical guidance, and collaborative problem-solving.

• Represent the backend platform in technical strategy discussions with executive leadership and contribute to multi-quarter roadmap planning.

• Actively build and deploy production code; this role requires hands-on individual contribution rather than solely focusing on architectural responsibilities.

⛳️ Requirements

• A minimum of 8 years of professional software engineering experience with a significant emphasis on backend platforms, integrations, or data infrastructure, including hands-on responsibility for systems operating in production at scale.

• Proven history of leading cross-team or organization-wide technical initiatives from inception to production, including the interpersonal skills necessary for building consensus and removing barriers for other engineers.

• Demonstrated experience in deploying and managing production backend systems at scale.

• Strong expertise in Python, including practical experience with FastAPI, Celery, and similar asynchronous/queue-based frameworks.

• Extensive knowledge of Postgres, including schema design, query optimization, and managing Postgres in production environments.

• Experience in handling large datasets and addressing real-world data quality challenges across diverse source systems.

• Proven track record in establishing engineering standards (service design, data architecture, operational practices) that have been adopted and further developed by other engineers.

• Experience in designing and managing integrations with third-party SaaS systems, including handling rate limits, schema drift, and partial failures.

• Strong foundation in modern cloud-based architectures, particularly AWS.

• Regular use of contemporary AI coding tools (Claude Code, OpenAI Codex, Cursor, or similar) as part of your development workflow.

🏝️ Benefits

• Health, dental, and vision benefits.

• Paid time off (PTO).

• Holiday pay.

• 401(k) plan.

• Equity opportunities.