A Reliable IT & Staffing Partner
Cheyenne, Wyoming
We Are Increasing Business Success With Technology. Recruiting is time-consuming especially if you don’t have the right agency working for you. Aimed to cater to industries in IT, Engineering, Construction, Manufacturing and Healthcare, we at SmartFox support our clients across the globe with suitable talent at every stage. Owing to more than a decade of experience, our database aids us in closing every kind of position- full-time, contract, or contract-to-hire. Driven with integrity and determination, our work involves assisting companies with talent that matches their descriptions leading to better retention. We are an amalgamation of talent and technology. Our services are driven towards efficiency, efficacy, and the establishment of smarter ways of staffing. We are not the first one in this industry but our work is a testament to our outperformed tasks in staffing and recruitment.
On-site
Analyze systems, workflows, and data flows; translate business needs into requirements and designs; and define integrations across applications and databases. Support development and releases through SQL investigation, testing, implementation, documentation, user training, and stakeholder communication.
On-site
Create and execute test plans across web, mobile, and API products, including functional, regression, integration, usability, exploratory, accessibility, and release testing. Report defects, maintain automated tests, support user acceptance testing and release sign-off, and track quality metrics while collaborating with Agile teams.
On-site
Design mechanical components, assemblies, and systems from concept through production, including CAD models, drawings, analysis, prototyping, material selection, and design validation. Coordinate with suppliers and cross-functional teams, manage engineering changes and documentation, resolve production issues, and support safety, regulatory compliance, and continuous improvement.
On-site
Design and maintain CI/CD pipelines, cloud infrastructure, container platforms, automation, observability, and security controls, while improving release safety and cloud cost efficiency. Build self-service developer tooling, document and teach platform practices, and partner with development, QA, security, and SRE teams to improve delivery.
Remote · Canada
Manage the order-to-cash cycle, including invoicing, payment application, collections, dispute resolution, reconciliations, and credit reviews. Analyze receivables and cash flow, support month-end close and audits, and improve processes through automation and clear internal controls.
On-site
Build and maintain Python backend services, APIs, data models, pipelines, integrations, and internal tools; deploy and operate secure, scalable services in cloud environments. Collaborate with product, design, QA, data, and ML teams to deliver features, productionize models, and monitor and optimize performance.
On-site · Toronto
Plan and manage material and finished-goods flows, forecasting, inventory, supplier relationships, purchase orders, and cross-border shipments. Analyze costs and risks, support sales and operations planning, and lead improvements to strengthen supply chain efficiency and resilience.
On-site
Design, implement, and optimize gameplay systems and supporting features across game engines and platforms, including multiplayer, UI, performance, and live operations. Collaborate with cross-functional teams to prototype, test, ship, and support games, while maintaining code quality and developing tools and pipelines.
On-site
Design, build, operate, and troubleshoot enterprise LAN, WAN, SD-WAN, wireless, data center, and hybrid cloud networks. Manage network equipment, security initiatives, monitoring, automation, carrier services, upgrades, documentation, and compliance activities.
On-site
Coordinate employee lifecycle activities, including recruitment, onboarding, employee records, payroll and benefits support, leave administration, and offboarding. Support compliance, employee engagement, reporting, and HR process improvements while serving as a confidential point of contact for employees and managers.
On-site
Build and operate reliable, scalable cloud services; define and improve SLOs, observability, deployment safety, performance, and infrastructure costs. Lead incident response and postmortems, automate operational work, and partner across teams to embed reliability into services.
On-site
Identify valuable AI opportunities with clients, assess data readiness, risks, workflows, and ROI, and develop practical roadmaps and business cases. Design, prototype, and evaluate AI solutions; guide responsible implementation and adoption; and lead client workshops, training, and engagement activities.
On-site
Develop, optimize, and maintain SQL queries, database objects, schemas, data models, and ETL/ELT pipelines across relational and cloud data platforms. Build trusted reporting and data warehouse solutions, ensure data quality and security, troubleshoot issues, and collaborate with technical and business teams.
On-site
Coordinate daily operations and cross-team workflows, manage vendors, budgets, systems, reporting, logistics, and documentation. Identify bottlenecks, improve processes, support compliance and audits, and assist leadership and teams as operational needs arise.
On-site
Own and configure business platforms, gather requirements, map processes, and deliver workflows, integrations, reports, and automation. Lead or support implementations, upgrades, migrations, testing, training, troubleshooting, vendor management, data quality, access controls, and compliance.
On-site
Lead daily site operations, coordinating crews, subcontractors, equipment, materials, and work sequencing to meet safety, schedule, budget, and quality targets. Maintain site records, resolve issues, liaise with project stakeholders, and support quality control and project closeout.
On-site
Frame business problems as analytical or machine learning questions, analyze large datasets, build and evaluate predictive models, and design experiments. Collaborate on model deployment and monitoring, create clear visualizations, communicate findings, document work, and follow responsible data practices.
