The Redesign Group is seeking a Senior Microsoft Engineer to design, deploy, and support Microsoft-based infrastructure solutions across customer environments. This is a highly technical, customer-facing role responsible for delivering scalable Microsoft solutions, leading complex implementations, and providing expert-level consulting across Windows Server, Active Directory, Azure, and Microsoft 365 platforms. You will collaborate closely with solution architects, project managers, and customer stakeholders to translate business needs into secure, reliable technical outcomes. This role is ideal for a hands-on engineer who thrives in fast-paced environments and enjoys owning delivery from planning through execution. What You’ll Do - Design and implement Microsoft infrastructure solutions across on-premises, hybrid, and cloud environments. - Lead complex Microsoft deployments, migrations, and upgrades. - Provide advanced troubleshooting and escalation support. - Architect and support Active Directory and identity services. - Execute Azure and Microsoft 365 migrations. - Deploy and optimize Windows Server and virtualization environments. - Automate tasks using PowerShell and maintain technical documentation. - Work directly with customers in a consultative, delivery-focused role. Required Qualifications 7+ years supporting Microsoft infrastructure in a professional services, MSP, VAR, or enterprise environment. - Strong expertise in Windows Server, Active Directory, Azure, and Microsoft 365. - Experience designing and delivering secure hybrid or cloud-based Microsoft solutions. - Hands-on experience with virtualization (Hyper-V) and core networking fundamentals. - PowerShell automation experience. - Strong troubleshooting, communication, and customer-facing consulting skills. Preferred Qualifications Experience with Microsoft-aligned hyper-converged infrastructure solutions. Familiarity with backup and recovery tools such as Veeam. Knowledge of Microsoft security and identity technologies including Entra ID, MFA, Conditional Access, and RBAC. - Experience with Intune, MECM/SCCM, or endpoint management tools. - Exposure to compliance-driven environments (PCI, HIPAA, SOC 2). - Experience with infrastructure automation tools (PowerShell DSC, ARM templates, Terraform). - Bachelor’s degree in Computer Science or a related technical field.

Job Description At Accelerant, we're not just keeping pace with technological advancements, we're leading the charge. As we refine and expand our operations, we're looking for a forward-thinking Data Engineer to join our dynamic team. As a Data Engineer, you will take on a central role in constructing and optimizing our robust data platform. This platform is at the heart of our operations—it drives our SaaS platform, underpins our internal analytics, and fuels our operational systems. In this role, you'll have the unique opportunity to design and build solutions that don't just deliver insights but lay the foundation for Accelerant's success in the digital landscape. Whether it's shaping unique selling propositions or pushing the boundaries of what our technology can do, your work will influence every corner of our organization. Key Responsibilities - Analyse and ingest new datasets from varied sources - Design, build, and support cloud infrastructure - Design, build, and support AI and ML processes and infrastructure - Design and build modern, metadata driven data pipelines and data streams - Design and build data service APIs - Transform and cleanse complex datasets - Analyse current business practices, processes and procedures - Implement effective metrics and monitoring processes - A commitment to learning and sharing knowledge Required Skills/Experience - 2 or more years’ experience working as a Data Engineer - Experience of developing in AWS - Snowflake - SQL - Python - Experience with DataOps methodologies, tools, and processes. Desirable Skills - dbt - Experience handling structured and unstructured datasets - Experience in AI and Machine Learning - Experienced in real-time and batch mode data ingestion - Experience in Data Warehouse development - General P&C Insurance business knowledge #LI-DNI

• Define and execute the product vision and roadmap for Liftoff’s data infrastructure • Translate complex machine learning and analytics requirements into detailed technical documentation and product specifications • Partner with cross-functional teams across the U.S. and Beijing to design, prioritize, and deliver high-impact data pipelines, APIs, and storage architectures • Establish and monitor data quality, latency, and reliability KPIs • Collaborate with ML and analytics stakeholders to ensure the data platform enables rapid experimentation and model development • Anticipate data and infrastructure needs, proactively shaping architecture and tooling strategy • Advocate for data best practices, including governance, lineage, and documentation across global teams

• Design, build, and optimize scalable backend services supporting both traditional search and AI-powered search systems. • Own the architecture of search-related systems to ensure high reliability, performance, and scalability. • Develop reusable backend frameworks and infrastructure to accelerate search and AI product development. • Collaborate closely with data scientists and AI engineers to enable LLM-powered search, ranking, and agent capabilities. • Continuously improve search performance, including indexing, retrieval, ranking, and latency optimization. • Translate business needs into scalable search solutions. • Drive execution and deliver results in complex or evolving environments.