Role Description As a Java Full-Stack Developer you will design, develop, and maintain both the client-side and server-side of web applications. You will own features end-to-end, from database schema and REST API design to responsive UI development, collaborating closely with product, design, and DevOps teams to deliver high-quality software efficiently and at scale. - Build and maintain scalable back-end services using Java and Spring Boot, ensuring high availability and clean service boundaries. - Develop responsive, accessible front-end interfaces using React, Angular, or Vue.js in close collaboration with UI/UX designers. - Design, query, and optimise relational databases such as PostgreSQL or MySQL, as well as NoSQL stores like MongoDB where appropriate. - Create and consume RESTful and GraphQL APIs that are secure, well-documented, and easy for other teams to integrate. - Write unit, integration, and end-to-end tests using tools like JUnit, Mockito, and Selenium to maintain high code quality. - Participate actively in code reviews, architectural discussions, and help uphold engineering standards across the team. - Deploy and monitor applications on cloud platforms (AWS, GCP, or Azure) using CI/CD pipelines and containerisation tools. Qualifications - 3+ years of Java development experience, with a strong understanding of OOP and design patterns. - Hands-on experience with Spring Boot, Spring MVC, and Spring Security for building production-grade applications. - Proficiency in at least one front-end framework — React, Angular, or Vue.js — alongside HTML5 and CSS3. - Solid experience working with both relational (SQL) and NoSQL databases in a professional setting. - Familiarity with Git version control, Docker for containerisation, and basic Kubernetes concepts. - Proven ability to design and implement RESTful or GraphQL APIs with attention to security and performance. - Proficiency in English.

Role Description System Pavers is one of the largest and fastest-growing outdoor remodeling companies in the United States, operating across multiple markets and expanding every year. Our technology organization is the engine behind that growth — and we're building it to win. This role sits at the intersection of customer experience, marketing automation, sales enablement, and emerging AI technology. You'll lead a team of four engineers, work hands-on in the code, and report directly to our Solutions Architect. This is a player-coach role. We want someone who can design and build, not just direct. If you're energized by building and delivering great software as part of a disciplined team — and can elevate the engineers around you while doing it — this was built for you. Qualifications - 10+ years of software development experience - 4+ years leading or mentoring a development team - Hands-on experience with marketing automation platforms or CRM-adjacent integrations - Proven track record integrating or evaluating AI/ML tools in a production environment - Experience working in Azure (.NET ecosystem preferred) - Strong understanding of API design and third-party integration patterns - Comfort working in an Agile/Scrum environment with ADO or equivalent - Excellent communication — you can present to business stakeholders and write clean technical specs Requirements - Lead, mentor, and develop a team of engineers focused on the CX workstream - Translate approved solution designs into high-quality, on-time builds across Marketing, Sales, and Integration — you own the execution, not the architecture - Stay hands-on: contribute code, conduct code reviews, and maintain high standards for AI-assisted development - Drive adoption of AI developer tools across your team — we expect ≥80% AI-assisted code integration - Lead the build and delivery of Marketing automation, Sales enablement, and third-party integration solutions - Evaluate and implement emerging CX technologies — including AI platforms (e.g., Leaping AI, SIRO, GTR) — that improve the customer journey - Ensure all solutions tie to measurable business outcomes: demand generation, conversion rate, customer satisfaction - Partner with our Solutions Architect to receive clear solution designs and translate them into buildable implementations - Collaborate daily with the Program Manager on sprint planning, velocity, and blocker resolution — escalate within 48 hours - Partner with the BA / Project Manager to ensure PBIs are sprint-ready before planning — zero tolerance for ambiguous requirements - Participate actively in QA and testing — you are responsible for test execution and bug resolution; the QA Lead owns the sign-off gate - Report velocity trends to the Program Manager weekly; trend toward ≥30% lift vs. Q1 2026 baseline by Q4 Benefits - Company in scale mode — new markets opening every year - Greenfield technology environment — you're not inheriting debt - AI-first culture — we expect and fund AI tool adoption - Direct impact — your work drives revenue and customer experience - $140,000 – $160,000 base salary + annual bonus opportunity - Fully remote — work from anywhere in the US - Collaborative leadership team — high trust, low bureaucracy - Clear growth path as the technology organization matures

• Assist in developing and maintaining backend and front-end solutions for the Studio platform. • Support enhancements to the drag-and-drop flow builder for voice, SMS, and chatbot channels. • Collaborate with product managers, designers, and engineers to deliver new features. • Write clean, maintainable code and follow best practices for performance, security, and reliability. • Write basic tests and documentation to support high-quality releases. • Learn and explore AI technologies (Azure OpenAI, Google AI, IBM Watson, Amazon Lex). • Participate in agile processes and continuous improvement initiatives (CI/CD, automation).

Role Description As a Senior Software Engineer, you will play a critical role in designing, building, and optimizing high-performance, scalable, and resilient backend storage solutions on AWS cloud infrastructure. You will be responsible for: - Developing distributed storage systems, APIs, and backend services that power mission-critical applications. - Ensuring low-latency, high-throughput, and fault-tolerant data storage. - Collaborating closely with principal engineers, architects, SREs, and product teams to define technical roadmaps. - Driving performance tuning, data modeling, caching strategies, and cost optimization across AWS storage services. - Contributing to infrastructure automation, security best practices, and monitoring strategies. - Troubleshooting and resolving production incidents related to data integrity, latency spikes, and storage failures. - Mentoring junior engineers and participating in design reviews and architectural discussions. - Advocating for engineering best practices such as CI/CD automation, infrastructure as code, and observability-driven development. Qualifications - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field. - 5+ years of experience in backend software development. - 3+ years of hands-on experience working with AWS cloud services, particularly AWS storage technologies. - 3+ years of experience in designing and developing distributed systems or high-scale backend services. - Strong programming skills in Java or Kotlin. - Experience working in agile environments following DevOps and CI/CD best practices. Requirements - Strong Backend Development Skills: - Proficiency in Java for backend development. - Experience building high-performance, scalable microservices and APIs. - Strong understanding of RESTful APIs, gRPC, and event-driven architectures. - Experience with AWS Storage Technologies: - Hands-on experience with AWS DynamoDB, EBS, EFS, FSx, and Glacier. - Knowledge of AWS IAM, KMS, and data access policies for secure storage solutions. - Understanding of AWS networking (VPC, PrivateLink, Route 53) for optimizing storage performance. - Distributed Systems & Scalability: - Solid understanding of distributed databases, storage consistency models, and caching mechanisms. - Experience with sharding, partitioning, and load balancing to scale storage-heavy applications. - Familiarity with event-driven architectures using AWS SNS, SQS, Kinesis, or Kafka. - Performance Optimization & Cost Efficiency: - Ability to profile and optimize storage performance, indexing strategies, and data retrieval latencies. - Experience with cost-efficient storage solutions by implementing tiering, lifecycle policies, and data deduplication. - Knowledge of benchmarking and monitoring tools (CloudWatch, OpenTelemetry, Prometheus, Grafana). - Security & Reliability: - Experience implementing data encryption at rest and in transit using AWS KMS or TLS. - Understanding of access control mechanisms (IAM roles, STS, fine-grained permissions). - Experience ensuring high availability and disaster recovery using AWS backup strategies and multi-region replication. - Hands-On with Infrastructure as Code (IaC) & DevOps: - Experience using Terraform, AWS CloudFormation, or CDK to manage infrastructure. - Familiarity with CI/CD pipelines for backend deployments using GitHub Actions, CodePipeline, or Jenkins. - Experience with containerized deployments using Docker, Kubernetes (EKS), and serverless solutions (Lambda, Fargate). - Troubleshooting & Production Support: - Strong debugging skills for investigating storage failures, high-latency issues, and API bottlenecks. - Experience using observability and tracing tools to monitor storage workloads. - Ability to triage and resolve production incidents in large-scale backend systems. - Collaboration & Engineering Best Practices: - Strong experience in code reviews, unit testing, and API contract enforcement. - Ability to work cross-functionally with SREs, data engineers, and infrastructure teams. - Good documentation habits for ensuring architecture decisions and design patterns are well-documented. Benefits - Health and wellbeing resources. - Paid volunteer days. - And so much more.