Jobs at VIA (solvewithvia)

Lead the architecture and development of secure, scalable microservices and software components. Build CI/CD automation, automated testing strategies, and performance monitoring solutions. Provide technical leadership in privacy, security, cryptography, and distributed systems while collaborating across teams and communicating complex technical concepts. Drive continuous improvement and integrate Web3 and privacy-preserving technologies into innovative products.

Design and develop secure, scalable microservices for VIA’s Zero Trust Fabric, integrating cryptography, passwordless authentication, decentralized identity, blockchain, Web3, and privacy-preserving technologies. Lead architecture, CI/CD automation, testing, monitoring, and performance optimization while serving as a privacy and security subject matter expert. Collaborate cross-functionally on technical strategy, software quality, and secure cloud-based systems.

Own and improve cloud infrastructure, CI/CD pipelines, deployment tooling, monitoring, alerting, and incident response. Embed security and compliance controls for CJIS, CMMC, and SOC 2 requirements. Partner with engineering, security, product, and delivery teams to prioritize infrastructure work. Implement AI-driven DevOps automation, including remediation, anomaly detection, infrastructure-as-code generation, and compliance evidence collection.

Own VIA’s payments-sector marketing lifecycle, including partner relationship management, joint marketing plans, co-branded case studies, press releases, video testimonials, targeted events, and partner-led initiatives. Maintain and optimize partner-facing web content while coordinating deliverables across payment, enterprise, and humanitarian organizations. The role requires strong B2B marketing execution, external stakeholder management, event planning, and written storytelling skills.

Architect and develop secure, scalable microservices and backend software for sensitive-data platforms. Lead SDLC and CI/CD automation, automated testing, performance optimization, and reliability initiatives. Provide technical leadership in privacy, security, cryptography, and distributed systems while collaborating across teams and communicating complex designs to technical and non-technical stakeholders. The role also involves integrating Web3 and privacy-preserving technologies and driving continuous engineering improvement.

Architect and maintain secure, scalable data platform infrastructure and resilient batch and streaming pipelines. Build infrastructure using Terraform and Helm, deploy cloud data services, optimize schemas and database performance, and implement monitoring and alerting. Partner with application teams to resolve data issues, establish governance practices, and support MLOps through model versioning, containerization, and deployment.

Build and oversee reliable ETL/ELT pipelines and data products that transform complex customer data into trusted analyses, visualizations, quality reports, and AI-powered insights. Responsibilities include data exploration, quality control, anomaly detection, AI/ML output evaluation, customer collaboration, documentation, and improving data-cleaning and analytics tools. The role requires cross-functional work in an Agile environment focused on security, data integrity, and clear communication.

Own end-to-end product design for AI-native, secure data, agentic workflow, and collaborative enterprise platforms. Translate complex technical and security constraints into intuitive user experiences through discovery, wireframing, prototyping, high-fidelity design, documentation, and UI copy. Partner with product and engineering teams to shape strategy, workflows, and roadmap decisions. Establish scalable design systems, champion responsible AI use, and mentor designers.

Leads corporate IT infrastructure and enterprise security operations, including security compliance for CJIS, CMMC, SOC 2, and FedRAMP. Oversees IAM, endpoint management, MDR and SOC providers, physical security infrastructure, corporate systems, vendor relationships, budgets, and disaster recovery automation. Provides technical leadership and mentorship while partnering with DevOps, Design, and Engineering to implement user-centered security controls across Okta, Google Workspace, Jamf, AWS, and Terraform environments.

Build and maintain ETL/ELT pipelines, explore and clean complex customer data, and deliver trusted analytics products, reports, visualizations, and AI-powered data capabilities. Partner with customers and internal teams to define data requirements, investigate discrepancies, validate AI/ML outputs, implement quality controls, and improve data tooling through automation. Translate complex findings and workflows into clear narratives and repeatable processes.

Own and improve cloud infrastructure, CI/CD pipelines, deployment tooling, reliability, observability, and security automation. Partner with engineering, security, compliance, and product teams to meet CJIS, CMMC, and SOC 2 requirements. Implement infrastructure as code, monitoring, incident response, and AI-driven DevOps automation. The role also supports network security, application deployment, stakeholder planning, and potentially blockchain nodes, service mesh technology, and IoT operational technology systems.

Architect and maintain secure cloud data infrastructure, scalable schemas, and resilient batch and streaming pipelines. Deploy data platforms using Terraform, Helm, CI/CD, and infrastructure-as-code practices. Build monitoring and alerting for data health, system performance, and container observability. Troubleshoot application workflows, database queries, and pipeline logic while advancing data governance. Support MLOps through AI model versioning, containerization, and deployment.