Role Description Are you ready to transcend traditional search optimization and rewrite the playbook for the generative AI era? At searchneedsLOVE, we don't beat around the bush: the "Immediate Click" is dead. In 2026, chasing search engine traffic through keyword stuffing and meta-tags is a recipe for operational failure. Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) have algorithmically enclosed the open web, leading to an unstoppable surge in Zero-Click searches. We don't chase volatile Google Discover spikes. We build the new underlying infrastructure for publishers, enterprise brands, and e-commerce leaders. Leveraging our proprietary software and revolutionary Revenue Architecture (specifically: the Intent Cliff and Authority Density), we transform generative AI from an existential threat into our clients' most powerful conversion engine. As global demand for our solution scales rapidly, we are looking for brilliant minds who have already moved past the old "Keyword-Chasing" mindset and are ready to act as true Revenue Architects. Whether you are an elite freelance consultant, looking for a flexible part-time commitment, or seeking a highly strategic full-time role—we want to hear from you. Qualifications - You Live in the Future: Terms like RAG, vector retrieval, embeddings, and entity optimization are your daily language. - Analytical & Business-Minded: You can confidently articulate why a drop in pageviews is meaningless when high-ticket qualified conversions are on the rise. - Outstanding Communicator: You can translate complex concepts into clear, actionable guidelines for various stakeholders. - Proven Track Record: You have demonstrated measurable search successes in complex environments. - Self-Driven & Adaptive: You thrive in high-autonomy environments and deliver results regardless of your operational setup. Requirements - Implement Revenue Architectures: Guide international publishers and e-commerce brands through transitioning their traditional SEO frameworks into our high-yield Intent Cliff model. - Vector & Entity Engineering: Analyze and systematically occupy semantic Topic Voids in vector spaces and entity clusters of major LLMs. - In-House Transformation & Enablement: Run strategic workshops and training programs for clients’ teams. - Technical Integration Support: Assist clients in configuring their content management systems for maximum Authority Density. - Feedback Loop: Partner with our core product team to translate data insights into operational client wins. Benefits - The Cutting Edge of Search: Deploy advanced frameworks, technologies, and systems. - Radical Flexibility: Work from anywhere in the world under your preferred model. - Exclusive Tech Stack: Full access to our proprietary searchneedsLOVE software and analytic platforms. - Top-Tier Global Clients: Direct engagement with prestigious media networks and global e-commerce enterprises. - 100% Remote & Autonomy First: Focus on results and the value generated for clients. Company Description At SearchneedsLOVE, your attitude is more important than your certificates. We are looking for people who want to solve problems instead of just managing them. Whether you are starting out as a junior or venturing into new territory as an experienced professional, with us you will find the space to really make a difference.

Role Description As the Platform Architect & Tech Lead, you will own the technical architecture of our Web Data Platform, guide engineering decisions, and lead a team responsible for browser automation, data collection infrastructure, and large-scale distributed services. You'll remain close to the code while spending a significant portion of your time on architecture, technical strategy, mentoring, and cross-functional collaboration. What You'll Do: - Own the technical architecture and long-term evolution of the Web Data Platform. - Define engineering standards, architectural principles, and technical roadmaps. - Lead a team of engineers through technical direction, mentoring, and regular feedback. - Design and build scalable distributed systems for public web data collection. - Drive the evolution of our browser automation platform and data extraction infrastructure. - Solve complex engineering challenges involving JavaScript-heavy websites, browser automation, networking, and anti-bot environments. - Improve scalability, resilience, observability, and operational excellence across the platform. - Review architecture, code, and technical designs to maintain high engineering quality. - Partner with Product, Infrastructure, and Platform teams to deliver reliable production systems. - Support hiring, onboarding, and the professional growth of the engineering team. - Help shape the engineering culture through technical excellence, collaboration, and continuous improvement. Qualifications - Several years of professional software engineering experience. - Experience as a Technical Lead, Staff Engineer, Engineering Lead, or Software Architect. - Proven experience designing and operating large-scale distributed systems. - Expert-level Python. - Deep understanding of asynchronous programming, concurrency, and high-performance backend systems. - Strong software architecture and system design skills. - Experience building production platforms that operate under significant scale and reliability requirements. - Strong understanding of HTTP, networking, browser internals, JavaScript rendering, cookies, sessions, caching, and modern web technologies. - Excellent debugging, troubleshooting, and performance optimization skills. - Strong communication and technical leadership abilities. - Upper-Intermediate English or higher. Preferred Experience - Browser automation platforms (Playwright, CDP, Chromium-based tooling). - Distributed crawling or web data collection platforms. - Reverse engineering of modern web applications and anti-bot systems. - High-load backend services processing millions of requests or pages per day. - Performance optimization of distributed systems. - Platform engineering and infrastructure automation. - Production incident management and operational excellence. - Mentoring engineers and driving technical excellence across teams. Leadership Expectations - Make sound architectural decisions under uncertainty. - Balance immediate business needs with long-term platform evolution. - Translate complex technical challenges into clear engineering plans. - Build alignment across teams through technical leadership. - Raise engineering quality through architecture reviews and code reviews. - Mentor engineers and help develop future technical leaders. - Take ownership of technical outcomes from design through production. - Foster a collaborative, high-performing engineering culture. - Own the architecture of one of the company's most strategic technology platforms. - Work on technically challenging distributed systems at production scale. - High level of technical autonomy and ownership. - Opportunity to influence engineering strategy and platform direction. Benefits - Remote-first environment with flexible working hours. - Competitive compensation. - Learning and professional development budget. - Support for conferences, certifications, and technical growth.

• Prepare, develop, and coordinate detailed architectural documentation throughout the Design Development, Tender, Construction Certificate, and Construction phases. • Produce high-quality working drawings, specifications, schedules, and documentation packages using Revit. • Ensure all documentation complies with the National Construction Code (NCC), Australian Standards, SEPPs, LEPs, and other relevant NSW planning regulations. • Coordinate architectural documentation with consultants and internal project teams to maintain consistency and technical accuracy. • Review and maintain documentation quality while resolving design coordination and technical issues throughout project delivery. • Support construction-stage documentation, RFIs, revisions, and project updates as required. • Manage multiple project deliverables while meeting deadlines and maintaining high attention to detail. • Communicate effectively with project stakeholders and contribute practical, solution-focused recommendations throughout each project phase.

Role Description We are looking for an experienced Senior Solution Architect with deep expertise in Databricks and modern data engineering technologies to lead the design, architecture, and implementation of scalable data platforms. The ideal candidate will work closely with customers to understand their business objectives, translate requirements into technical solutions, and deliver high-performance, cloud-based data platforms. As a trusted technical advisor, you will provide architectural guidance, mentor engineering teams, and ensure best practices in data engineering, data governance, and platform optimization. Qualifications - 10+ years of overall experience in Information Technology. - 6+ years of hands-on experience designing and implementing solutions using Databricks. - Proven experience in architecting enterprise-scale data platforms and analytics solutions. Requirements - Collaborate with customers, business stakeholders, and technical teams to gather requirements and design scalable data platform architectures. - Design and implement modern Data Lakehouse solutions using Databricks. - Develop and optimize scalable data ingestion, transformation, and processing pipelines using Apache Spark. - Define and implement data architecture following Medallion (Bronze, Silver, Gold) architecture principles. - Lead solution design discussions, technical workshops, and architecture reviews with customers. - Provide technical leadership and mentor development teams on Databricks best practices and modern data engineering techniques. - Optimize Spark workloads for performance, scalability, and cost efficiency. - Design secure, reliable, and highly available data solutions with appropriate governance and monitoring. - Work closely with cross-functional teams including Data Engineers, Data Scientists, DevOps, and Cloud Architects to deliver end-to-end solutions. - Identify opportunities for platform optimization, automation, and continuous improvement. - Support pre-sales activities by providing technical consulting, solution presentations, architecture diagrams, and effort estimations when required. Benefits - Strong hands-on expertise in Databricks. - Strong programming skills in Python and SQL. - Extensive experience with Apache Spark (PySpark/Spark SQL). - Solid understanding of Data Lake and Lakehouse architectures. - Experience implementing Medallion Architecture (Bronze, Silver, Gold layers). - Expertise in designing and maintaining scalable ETL/ELT pipelines. - Strong knowledge of data modeling, partitioning, optimization, and performance tuning. - Experience working with structured, semi-structured, and unstructured data. - Good understanding of data quality, governance, and security best practices. - Familiarity with CI/CD practices, version control (Git), and Agile methodologies. Preferred Skills - Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. - Knowledge of Delta Lake, Unity Catalog, Delta Live Tables, Databricks Workflows, and MLflow. - Experience integrating Databricks with cloud-native data services and orchestration tools. - Understanding of streaming technologies and real-time data processing. - Experience with Infrastructure as Code (Terraform or similar) is a plus. - Databricks or cloud certifications are highly desirable. Soft Skills - Excellent customer-facing and stakeholder management skills. - Strong analytical and problem-solving abilities. - Excellent verbal and written communication skills. - Ability to lead technical discussions and influence architectural decisions. - Strong collaboration and mentoring capabilities. - Ability to manage multiple priorities in a fast-paced environment. What You'll Bring - A customer-first mindset with the ability to translate business requirements into scalable technical solutions. - Strong architectural thinking with expertise in modern data platforms. - Passion for building reliable, high-performance, and cost-effective data solutions. - Ability to work independently while collaborating effectively across distributed teams.