Design, build, and operate secure, scalable products for Compensation Collection, Shadow Payroll, and Equity offerings in a regulated, multi‑jurisdictional environment.
Responsibilities
Build and evolve modern web experiences using Next.js, React, and TypeScript
Design and implement backend services and APIs with C#, .NET, and WebAPI
Deliver Azure‑native implementations of payroll and equity workflows
Contribute to system architecture and technical design for multi‑country payroll
Own production readiness including logging, monitoring, and incident response
Requirements
Bachelor’s degree in computer science, Engineering, or related field
Design, build, and operate secure, scalable products that power our Compensation Collection, Shadow Payroll, and Equity offerings for the world’s most complex multinational employers.
Responsibilities
Build and evolve modern web experiences for Compensation Collection, Shadow Payroll, and Equity products using Next.js, React, and TypeScript
Design and implement backend services and APIs using C#, .NET, and WebAPI
Deliver Azure-native implementations of shadow payroll calculation engines, compensation aggregation pipelines, and equity tax event workflows
Contribute to system architecture and technical design for multi-country payroll, compensation, and equity domains
Own production readiness for your work including logging, monitoring and alerting, reconciliation tooling, incident response support, and operational documentation
Requirements
Bachelor’s degree in computer science, Engineering, or related field required
Lead engineering and SaaS operations organization, define AI-driven software development, manage people, architecture, quality, delivery, and reliability.
Compensation
CAD $260,000/year
Responsibilities
Lead, hire, and develop Directors, architects, and their teams; set and hold the hiring bar.
Make AI-assisted development, testing, review, and operations the way the organization works; verify adoption through real behavior, not dashboards; and coach leaders and skeptical senior engineers through the change.
Run engineering experiments with baselines and clear scale, modify, or stop decisions.
Own quality, releases, and production reliability: uptime and SLAs, on-call, incidents, security operations, and cloud cost.
Own architecture across our products, including legacy modernization and standards for AI-generated code.
Requirements
Degree in Computer Science or a related field, or equivalent experience
Nice to have: Software architect or Staff/Principal engineer background
Nice to have: Logistics, routing, dispatch, courier, or healthcare operations software
Own and operate application security tooling, including SAST, DAST, and software composition analysis, ensuring tools are tuned, effective, and aligned to business risk.
Embed application security into CI/CD pipelines and development workflows to support shift‑left security while minimizing developer friction.
Perform secure code reviews and validate vulnerabilities for exploitability, impact, and remediation feasibility.
Define and maintain secure coding standards, guidance, and reusable security patterns for development teams.
Establish guardrails and review expectations for AI‑assisted and AI‑generated code, reducing unowned and unmanaged application risk.
Ensisinfo Inc is looking for a talented and forward-thinking AI / Agentic Engineer to join our growing team in Carmichael, CA. In this cutting-edge role, you'll architect and build intelligent agentic systems leveraging MCP, .NET/Python, and Azure PaaS to drive real-world AI innovation.
Responsibilities
Design, develop, and deploy agentic AI systems and workflows using the Model Context Protocol (MCP)
Build and maintain scalable backend services and AI integrations using .NET and/or Python
Architect and manage cloud-native solutions on Azure PaaS (e.g., Azure OpenAI, Azure Functions, Azure App Service)
Develop LLM-powered pipelines, autonomous agents, and multi-agent orchestration frameworks
Collaborate with cross-functional teams to define AI use cases and translate them into production-ready solutions
Cloud Infrastructure Engineering Specialist responsible for building, automating, and operating CI/CD pipelines, environment provisioning tooling, and IDP self-service components.
Responsibilities
Extensive experience in infrastructure implementation, Automation, deployment, documenting and maintenance of Client/Server, Web based applications in multi-tiered architecture, Internet/Intranet infrastructure and clustered environments
Azure IaaS/PaaS Configuration and Administration of Azure Resources
Understanding of commonly used WAF, Azure PaaS Services like SQL PaaS, Azure Functions, AKS, ACR, API Management
Working on PowerShell, JSON, XML, or similar scripting language
VM Build & Management from VHD, establishes policy and ability to create policy
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