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.

Role Description Join our IoT team and help power the data backbone of SkyCell's temperature-sensitive supply chain solutions. As a Backend Engineer, you'll be responsible for building and maintaining the services that ingest, process, and expose data from thousands of connected devices around the world. Working closely with Product, Firmware, QA, and Platform teams, you'll design scalable backend solutions, improve data quality and observability, and ensure the reliable flow of critical IoT data across our ecosystem. Our IoT team owns the connected layer of the platform - the trackers, gateways, and ingestion systems that turn shipments and equipment into real-time, actionable data for our customers and for the platforms built on top of our data. What You'll Do: - Work with product, firmware, and downstream stakeholders to turn requirements into a clear plan of work - Design and implement backend services in Java for ingesting and exposing IoT data from trackers, gateways, and third-party feeds - Work across our data and messaging stack: Cosmos DB, Cassandra, Kafka, and Azure Functions, deployed via Docker - Build and maintain CI/CD pipelines for backend services and test infrastructure - Author BDD test suites in Cucumber and partner with QA on a shared cross-team E2E testing approach - Contribute to observability through Grafana dashboards and alerting - Investigate issues across the data flow, from device telemetry to consumer APIs - Collaborate with firmware, QA, and downstream platform teams on data contracts and quality Qualifications - Bachelor's degree in Computer Science, Software Engineering, or related - Production backend engineering experience in Java (Spring Boot or equivalent) - Comfortable scripting in Python or a similar language for tooling and automation - Strong written and spoken English - Strong sense of ownership: takes a vague request and returns a clear plan - Comfortable operating across analysis, implementation, and quality - Pragmatic about trade-offs and able to defend scoping decisions with evidence - Quality-minded by default - treats tests, observability, and clear scope as part of "done" - Effective written communicator, which matters in a distributed setting Benefits - Flexibility & Balance: Flexible working hours and work-life balance allow you to tailor work to fit your life. - Recognition & Growth: Opportunities for career advancement in a company that values your contributions. - Remote role with opportunities for ad hoc face-to-face interactions to inspire collaboration amongst a globally diverse team. - Company-wide Events: Join us for company events to celebrate successes, build teams, and share our vision. Plus, new joiners experience SkyWeek, our immersive onboarding program. - Generous Maternity & Paternity Leave: Support for new parents with competitive maternity and paternity leave. - Annual Leave & Bank Holidays: Enjoy a generous annual leave package, plus local bank holidays to recharge and unwind. Ready to Make an Impact? We’re not just offering a job; we’re offering a chance to be part of something bigger. At SkyCell, you’ll help build a future where pharmaceutical delivery is efficient, sustainable, and transformative. How to Apply Simply click ‘apply for this job’ below! We can’t wait to meet you and discuss how you can contribute to our mission! Please note, we are unable to consider applications sent to us via email. If you have any questions, you can contact our Talent Team (talent@skycell.ch). SkyCell AG is an equal opportunity employer that values diversity and is committed to creating an inclusive environment for all. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, gender identity, age, disability, or any other legally protected characteristic. For this position, if you are not located in, or able to relocate (without sponsorship) to one of the above locations, your application cannot be considered.