Software Architect

About Us At Plentific, we’re redefining property management in real time. Our mission, is to lead real estate through the transformative journey into “The World of Now,” enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers—enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors—including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global—Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we’re continually expanding our reach and impact. We’re looking for forward-thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you’re excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role We're looking for a Software Architect to join our engineering team and play a pivotal role in shaping the technical direction of our platform. This is not just a hands-on engineering role, it's a leadership position where you'll be expected to bridge the gap between product vision and technical execution. You'll work closely with Product Managers to translate business requirements into robust technical strategies, produce detailed technical analyses, and guide a team of engineers toward successful, on-time delivery. At the same time, you'll remain deeply hands-on, contributing directly to our codebase and setting the bar for engineering excellence across the team. Our engineering team sits at the centre of everything we do at Plentific and is constantly tackling challenging problems, such as online payments, quoting, invoicing, booking, search and scoring algorithms, ETL, data pipelines, in-app messaging, real-time notifications, and fraud prevention. Our backend engineers mostly work with Python and Django on a service-oriented architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability, and extensibility. As Software Architect, you'll be the standard-bearer for these values. At Plentific AI is at the core of how we build and deliver software. We expect our Software Architect to be fluent in AI-assisted development practices, leveraging AI tools across the entire engineering lifecycle: from spec-driven development and architectural design, to coding, code review, and delivery. Responsibilities Technical Leadership & StrategyCollaborate closely with Product Managers to translate product requirements into comprehensive technical analyses, breaking down complexity into clear, actionable engineering plans with the help of AI spec-driven development toolsDefine and own the technical roadmap for your team, ensuring architectural decisions align with business goals and long-term platform scalabilityGuide and mentor engineers throughout the delivery lifecycle, from design through to deployment, ensuring the team stays on track and produces high-quality outputAct as the primary technical point of contact for your squad, facilitating alignment between engineering, product, and stakeholders Architecture & DesignDesign and evolve scalable, resilient microservices architectures using Django and Python, deployed on Kubernetes at scaleLead the design of APIs, data pipelines, and distributed systems with a strong focus on performance, reliability, and maintainabilityDefine and enforce best practices around database design, query optimisation, and data modelling across relational databases (PostgreSQL)Evaluate emerging technologies and architectural patterns, making evidence-based recommendations to the broader engineering organisation Hands-On EngineeringWrite well-formulated, testable, and readable code using appropriate software design patternsBuild and maintain APIs, microservices, and data pipelinesWrite complex SQL queries and optimise database performanceDebug and resolve issues across our applications, including production incidentsReview, maintain, and refactor existing code to support improved or new features AI-Driven DevelopmentChampion and embed AI-assisted practices across the full development lifecycle, including spec generation, architectural design, coding, and delivery, ensuring the team operates at the frontier of modern, AI-augmented engineering Delivery & CollaborationLead code reviews, setting a high bar for quality and consistency across the teamWork with product owners, engineering managers, UI designers, and engineers to produce technical specifications and project documentationRemove technical blockers and proactively surface risks to delivery, proposing pragmatic solutionsWrite clear technical documentation for code, algorithms, APIs, and system architecture Experience and Qualifications 8+ years of software engineering experience, with a strong focus on Python and DjangoProven, hands-on experience building and operating Django-based microservices at scale, running in production on KubernetesDemonstrable experience with AI tools to assist Software Development and Architectural document writing (e.g. Claude Code, Cursor).Demonstrable experience in a Tech Lead or Software Architect capacity, owning technical direction and guiding teams toward deliveryStrong track record of producing technical analyses: working alongside Product Managers to assess requirements, define solutions, estimate complexity, and produce clear, actionable engineering plansDeep knowledge of distributed systems design, including event-driven architectures, asynchronous processing (e.g. Celery, Redis), and inter-service communication patternsExpert-level understanding of relational database management (PostgreSQL preferred), including schema design, normalisation, and query optimisationSolid grasp of computer science fundamentals: data structures, algorithms, and software design patternsExperience with AWS and cloud-native infrastructure; familiarity with CI/CD pipelines (e.g. Jenkins)Ability to work UK working hours (+/- 3 hours)Excellent communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiencesA collaborative, can-do mindset with strong ownership and accountability