
201 - 500 employees
Founded 2012
🏠 Real Estate
☁️ SaaS
🏪 Marketplace
Real Estate • SaaS • Marketplace
Plentific is a cloud-native property operations platform that streamlines end-to-end maintenance and contractor management for housing providers, landlords and contractors. The platform combines field service management, a vetted contractor marketplace, supply-chain and invoicing tools, resident experience features, reporting/analytics and managed services to help clients manage work orders, inspections, planned maintenance, compliance and payments at scale. Plentific emphasizes integrations (open APIs), AI-powered workflows, and has live deployments across 1. 7M+ properties and thousands of service providers, serving sectors such as housing associations, local authorities, student housing and build-to-rent.
🔥 12 hours ago
🌐 United Kingdom, Germany, +5 more countries – Remote
⏰ Full Time
🟠 Senior
🔙 Backend Engineer
👻 Ghost score 14%
Where this job comes from
Posted on Plentific's careers page, not through a job board
First seen by Remote Rocketship 12 hours ago
Still open on Plentific's site. Checked 1 hour ago.

201 - 500 employees
Founded 2012
🏠 Real Estate
☁️ SaaS
🏪 Marketplace
Real Estate • SaaS • Marketplace
Plentific is a cloud-native property operations platform that streamlines end-to-end maintenance and contractor management for housing providers, landlords and contractors. The platform combines field service management, a vetted contractor marketplace, supply-chain and invoicing tools, resident experience features, reporting/analytics and managed services to help clients manage work orders, inspections, planned maintenance, compliance and payments at scale. Plentific emphasizes integrations (open APIs), AI-powered workflows, and has live deployments across 1. 7M+ properties and thousands of service providers, serving sectors such as housing associations, local authorities, student housing and build-to-rent.
• Build and maintain APIs, microservices, and data pipelines using Python, Django, Django REST Framework, FastAPI, and related platform tooling • Design service boundaries, API contracts, relational data models, and integration flows for complex property operations • Produce ERDs and technical diagrams • Develop asynchronous and event-driven workflows using Celery and Redis • Write complex SQL, safely evolve PostgreSQL schemas, and optimise database performance • Review, refactor, and retire existing code • Write automated tests and integrate them into CI/CD • Instrument services with logs, metrics, traces, and alerts • Diagnose and resolve production incidents across services, databases, queues, integrations, and infrastructure • Design for security, resilience, performance, and data integrity • Turn product behaviour into implementation-ready technical solution designs • Use agentic coding tools such as Codex, Claude Code, Cursor, or equivalent to generate, refactor, test, review, and document code • Critically evaluate AI-generated code • Break specifications into small, reviewable changes and validate them before release • Improve the team's spec-driven development practice • Collaborate from problem framing through release and production operation • Surface technical risks and trade-offs and propose pragmatic changes • Review code and technical designs • Coach mid-level and junior engineers through pairing, code review, debugging, and design discussion
• Expert-level Python and Django, with strong object-oriented design and software engineering fundamentals • Strong command of API design, service-oriented architecture, distributed systems, and asynchronous processing • Expert-level relational data modelling and PostgreSQL schema design • Ability to produce ERDs and technical diagrams • Ability to turn incomplete product requirements into clear technical solution designs • Sound judgement around automated testing, observability, production reliability, security, and data integrity • Strong working fluency with agentic coding tools and spec-driven development workflows • Ability to review technical designs and code, explain trade-offs, and coach less-experienced engineers • Clear written and verbal communication in plain English • Pragmatic delivery judgement • 6+ years of professional software engineering experience, with substantial commercial experience in Python and Django • Experience building and operating Django-based services in production on AWS and Kubernetes • Experience with Django REST Framework or FastAPI, PostgreSQL, Redis, Celery, and CI/CD pipelines • Experience designing and safely evolving complex relational data models in a large, long-lived production codebase • Experience working in cross-functional product teams with shared ownership of customer outcomes and production operation • Experience using AI coding tools in a professional software delivery workflow • Based in the UK, Germany, Turkey, Poland, Italy, Spain, or Portugal, with the right to work there • Availability to work with substantial overlap with UK working hours • No visa support available
• Fully remote work arrangement • Opportunity to work on AI-assisted, spec-driven development • Cross-functional collaboration with product managers, frontend engineers, quality engineers, and backend engineers • Coaching and professional development through pairing, code review, debugging, and design discussion
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