CargoSprint

Controller

• Assist with the implementation of company-wide financial systems and accounting/finance related policies and procedures.
• Execute mid-level general-ledger account reconciliations, accurate reporting, and data verification, enabling senior staff to analyze options and make financial decisions aligned with company objectives.
• Monitor policies and procedures for assigned departments, and identify and suggest improvements for accounting reports and procedures.
• Study existing and recent legislation to ensure compliance with all financial requirements.
• Support monthly financial closes, including assigned journal entries, balance-sheet account reconciliations, accruals, and overall maintenance of operational management accounts.
• Accurately review, code, reconcile and process vendor invoices.
• Audit and process expense reports and credit card statements.
• Conduct mid-level general-ledger account reconciliations, verify accuracy of data, and identify and correct errors.
• Provide support to and assist with the expansion of the back-office operation for our Mexican entity.
• Assist in providing schedules and commentary for operational management account results and variances, and to produce working-capital cash-flow reports.
• Maintain and update records and reports for profit and loss, taxes, liabilities, and assets.
• Prepare special financial reports, when requested by senior managers, by collecting, analyzing, and summarizing account information and trends.

Assistant Controller

Backend Engineer

• Architecture ownership for modern Java platforms (Java 17/21, Spring Boot, Spring Cloud preferred)
• Design and evolution of distributed, event-driven systems (messaging, sagas, resiliency, eventual consistency)
• Legacy modernization strategy + execution (monolith → modular/microservices via safe, incremental migration)
• Performance and scalability engineering (profiling, tuning, latency/throughput optimization, load testing)
• AI-first engineering (scale what’s already working):
• o Strengthen and standardize existing AI-assisted delivery across teams (coding, review, test creation, analysis)
• o Embed AI into modernization workflows to reduce cycle time, defects, and technical debt
• o Accelerate quality and operations through AI-enabled automation (impact analysis, regression optimization, faster RCA)
• o Improve observability using AI-supported insights (signal detection, log/trace summarization, incident learning loops)
• Cloud architecture on Azure (preferred) with strong reliability, security, and cost discipline
• Engineering guardrails: architecture patterns, reference designs, quality gates, and secure-by-design principles

Java Architect

• Architecture ownership for modern .NET platforms (C#, .NET 6/7/8, ASP.NET Core)
• Design and evolution of distributed, event-driven systems
• Legacy modernization strategy + execution
• Performance and scalability engineering
• AI-first engineering
• Cloud architecture on Azure

.Net Architect

Program Manager

• Own end-to-end execution of marketing campaigns, events, and launches from intake to delivery.
• Translate campaign and event plans into clear timelines, tasks, and deliverables.
• Coordinate work across internal team members, contractors, and vendors.
• Manage campaign readiness, including asset approvals, dependencies, and handoffs.
• Ensure event and roadshow follow-up sequences are executed on time and tracked.
• Act as the central point of coordination between Marketing, Sales, Product, Legal, and Finance for active initiatives.
• Maintain visibility into workload priorities, risks, and delivery status.
• Enforce the use of intake processes and prevent unplanned work from disrupting priorities.
• Support reporting readiness by ensuring campaigns are structured and trackable.

Marketing Program Manager – Campaign Producer

Data Analyst

• Develop advanced Excel-based financial models, including Power Query, PivotTables, Power Pivot, and complex formulas
• Design, build, and maintain Power BI dashboards and data models for executive and operational reporting
• Create automated reporting workflows by integrating Excel and Power BI with financial systems
• Perform detailed variance analysis, trend analysis, and performance reporting
• Translate business and finance requirements into scalable data models and visualizations
• Build and maintain standardized reporting templates and documentation
• Partner with FP&A, Accounting, Sales and business leaders to deliver actionable insights

Collections

• Account monitoring to identify overdue payments
• Find and contact debtors to arrange debt payments
• Maintain accurate records and reports on collection activity
• Monitor accounts to identify outstanding debts
• Research historical data for each debt or invoice
• Find and contact customers to inquire about their overdue payments
• Take steps to encourage timely debt payment
• Update account status records and collection efforts
• Report on collection activity and the status of accounts receivable

Collections Analyst

• Lead architecture and implementation to improve stability and reliability across core backend systems.
• Drive modernization: reduce legacy debt, simplify services, and migrate to scalable patterns with minimal customer impact.
• Establish reliability guardrails: service ownership, operational runbooks, and measurable targets for availability and performance.
• Partner with DevOps/SRE and application teams to improve observability, incident response, and postmortem follow-through.
• Identify bottlenecks and failure modes; deliver measurable improvements in latency, throughput, and availability.
• Create reusable patterns and reference implementations (service templates, resilience patterns, data access patterns).
• Mentor senior engineers and tech leads; raise standards through design docs, reviews, and coaching.

Principal Engineer, Backend Architecture, Reliability – .NET, Java

• Lead backend architecture and implementation across products, with emphasis on scalability, performance, and reliability.
• Ramp fast on workflows and translate domain understanding into clear technical plans and execution.
• Own backend changes: API design, service refactors, data model evolution, and performance tuning.
• Provide technical leadership through code reviews, design guidance, and production support leadership when needed.
• Partner with product and engineering leadership to sequence work, reduce risk, and drive decisions.
• Harden the system with better observability, incident readiness, and reliability guardrails.
• Improve engineering velocity through reusable patterns, documentation, and working agreements.

Lead Engineer – .NET

Data Engineer

• Own the design and delivery of our data warehouse and data marts: models, schemas, semantic consistency, and documentation.
• Build and evolve reporting foundations: curated datasets, metric definitions, and repeatable reporting patterns.
• Partner with stakeholders to define source-of-truth metrics and ensure consistent definitions across teams.
• Establish standards for data quality, testing, reconciliation, lineage, access control, and lifecycle management.
• Drive modernization: reduce legacy data debt, simplify flows, and improve reliability and performance across the platform.
• Define data contracts with application teams (schemas, events/CDC patterns) so downstream reporting is stable.
• Enable self-serve analytics by making data discoverable, documented, and safe to use.

Data Architect, Data Platform – Azure

Full-stack Engineer

• Lead the Data Processing team: technical direction, delivery cadence, coaching, and hiring support (as needed)
• Own core processing systems end-to-end: design, implementation, quality, observability, and on-call readiness
• Drive modernization of legacy processing: simplify flows, reduce failure modes, improve performance and cost
• Build and operate pipelines (batch and/or streaming) with strong data quality, lineage, and backfill strategies
• Establish SLAs/SLOs for key pipelines and improve monitoring, alerting, and incident response
• Partner with application engineering, finance, and analytics to prioritize work and deliver dependable outputs
• Raise the engineering bar via standards, PR reviews, runbooks, and pragmatic architecture decisions

Lead Engineer, Data Processing – Databricks

Compliance

• Review, update, and ensure the current accuracy of department policies, procedures, and internal documentation (e.g., SOPs, presentations, policies and other in-house content).
• File and manage all official documentation, including policies, agreements, and training materials.
• Coordinate the manual execution of electronic agreements, ensuring proper routing, tracking, and filing.
• Edit, format, and standardize all compliance documents to ensure clarity and consistency.
• Update, maintain, and query compliance-related databases and information systems to support operational needs.
• Identify ways to streamline administrative workflows.
• Prepare physical and electronic training materials for new employee orientation and mandated annual compliance sessions.
• Provide administrative and operational support for key compliance projects and initiatives.
• Assist in the preparation and review of compliance reports and presentations.
• Carry out due diligence and screening on third parties to identify and assess compliance risks.
• Conduct basic administrative reviews of updated company policies to ensure correct formatting, version control, and proper linkage within the internal policy portal.
• Coordinate and schedule meetings, and prepare necessary materials (agendas, meeting minutes) to facilitate decision-making and follow up.