Staff Backend Platform Engineer

Conversica

Senior Backend Platform Engineer designing and operating production backend systems powering Conversica's next-gen AI platform, focusing on integrations, data ingestion, and messaging infrastructure.

Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AWSCloudPostgresPython

About the role

Key responsibilities & impact

Set the technical direction for Conversica's backend platform, owning architecture decisions that span integrations, data, messaging, and orchestration across the entire system
Drive cross-functional initiatives that touch multiple engineering teams, partnering with AI Engineering, Product, and Integrations leadership to shape platform strategy and roadmap
Define and evolve org-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 and lead the engineering response
Mentor senior and mid-level engineers across the backend organization, raising the technical bar through design reviews, written technical guidance, and pairing on hard problems
Represent the backend platform in technical strategy discussions with executive leadership and contribute to multi-quarter roadmap planning
Build and ship production code yourself; this is a hands-on individual contributor role, not a pure architect role

Requirements

What you’ll need

Equivalent of 8+ years of professional software engineering experience with significant focus on backend platform, integrations, or data infrastructure - including hands-on responsibility for systems running in production at scale.
Track record of leading cross-team or org-wide technical initiatives from conception through production, including the soft work of building consensus and unblocking other engineers
Proven experience deploying and operating production backend systems at scale
Strong proficiency in Python, including production experience with FastAPI, Celery, and similar async/queue-based frameworks
Deep experience with Postgres including schema design, query optimization, and operating Postgres in production
Experience working with large datasets and navigating real-world data quality challenges across heterogeneous source systems
Experience setting engineering standards (service design, data architecture, operational practices) that other engineers adopted and built on
Experience designing and operating integrations with third-party SaaS systems including handling rate limits, schema drift, and partial failures
Strong background in modern cloud-based architectures, particularly AWS
Active use of modern AI coding tools (Claude Code, OpenAI Codex, Cursor, or similar) as part of your development workflow

Benefits

Comp & perks

Health, dental, and vision benefits
PTO
Holiday pay
401(k)
Equity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonFastAPICeleryPostgresdata modelingintegration patternsobservabilityoperational excellencecloud-based architecturesAI coding tools

Soft Skills

mentoringcross-functional collaborationbuilding consensusunblocking engineerstechnical leadershipdesign reviewswritten technical guidanceproblem-solvingcommunicationstrategic planning