SZNS Solutions

Engineering Manager

• Own day-to-day engineering delivery across multiple strategic client engagements and internal platform initiatives, ensuring that tasks are clear, prioritized, and progressing.
• Building a culture of ownership, craft, and continuous improvement while increasing team autonomy, efficiency, and effectiveness.
• Collaborate closely with product and technical leadership to break down, scope, and plan complex technical projects across our AI, GCP, and Web3 domains.
• Ensure high standards for code quality, system performance, and maintainability by establishing best practices and guiding architectural decisions.
• Proactively identify risks and escalate them early, improving team processes so that our delivery becomes faster and more predictable.

Data Engineer

• Architect and deploy pipelines to ingest, transform, and store data from high volume, disparate sources for real-time analysis
• Create a highly reliable single source of truth for enterprise intelligence and enablement
• Architect and optimize production-grade data foundations to support high-performance AI workflows and automated decision-making.
• Establish and automate strict data security, quality assurance, and governance processes. Design systems for high fault tolerance and rapid disaster recovery
• Design and model for efficient queries, resource usage, workload scheduling, and cost

Cloud Engineer

• Design and Plan Cloud-Native Solutions: Lead the design of scalable Google Cloud Platform (GCP) solutions while satisfying stringent compliance standards
• Networking Topologies: Design secure, resilient, and scalable network topologies and strategies for VPC design, subnet routing, and disaster recovery for mission-critical systems
• Cloud Deployments and Integrations: Design, optimize, or develop solutions using the appropriate cloud services and how they integrate with 3rd party systems
• Team Leadership & Collaboration: Translate business needs from client leadership (eg: CIO/CTO) and other stakeholders into technical requirements for implementation. Work closely with engineers, project managers, and other stakeholders to ensure accurate and optimal deployments
• Agentic Workflows: Create and deploy effective, efficient, and safe Agentic capabilities and workflows
• Innovation: Stay ahead of industry trends, introducing new technologies and tools that can improve our end solutions
• FinOps: Design for cost-optimized architecture and implement FinOps best practices

Engineer

• **Role Summary**We’re seeking a Forward Deployed Software Engineer (FDE) that operates at the intersection of product engineering, sales engineering, and technical consulting. As a **builder, translator, and change agent**, you will embed directly with strategic enterprise and government partners to solve their most complex operational bottlenecks. We are not a traditional consulting firm; we are builders who believe that the best way to advise a customer is to show them working software.
• **Key Responsibilities**
• - **Rapidly Build and Deploy:** Embed with customer teams to design, build, and deploy new workflows or applications from first sketch to real-world impact
• - **Agentic Workflows:** Design evaluation and feedback loops to verify AI performance and safety, ensuring reliable deployments. Perform **threat modeling and evaluation** to ensure robust guardrails and "Non-Human Identity" policies to ensure enterprise safety
• - **Trusted Technical Advisor:** Be the principal technical interface to client leadership and stakeholders for accelerating deals and long-term strategic partnerships
• - **Client Enablement:** As the resident expert, you’ll participate with client-side workshops, technical trainings, and hackathons
• - **Always Improve:** Extract field insights and translate them into reusable patterns, accelerators, and playbooks that strengthen the core SZNS platform for future customers

Engineering Manager

Data Engineer

Cloud Engineer

Forward Deployed Engineer