Softgic

Frontend Engineer

• Design, train, and implement machine learning and AI models that support real-time decision-making.
• Prepare, clean, and structure large-scale datasets in collaboration with data engineers using Snowflake and MongoDB.
• Apply the Elastic Hierarchy framework to perform feature engineering and attribution across reconciled datasets.
• Build and optimize agent-based workflows connecting ML models to front-end and client systems.
• Create and manage JSON-based data payloads for model integration within enterprise workflows.
• Integrate ML outputs into React-based front-end applications for visualization, analytics, and interactive use.
• Deploy, monitor, and optimize ML models in production using AWS Lambda, EC2, and EKS/Kubernetes.
• Ensure reproducibility, version control, and documentation across all ML development workflows.
• Collaborate with cross-functional teams (product, data, and engineering) to deliver AI-powered product strategies.
• Apply governance, auditability, and compliance standards for ML models used in regulated financial environments.

ML/AI Engineer – Data, Front-End Integration

• Develop and maintain modern web interfaces using React and AG Grid.
• Consume and render complex JSON datasets via REST or GraphQL APIs.
• Implement secure, role-based data presentation (RBAC, governed views).
• Design and optimize visualizations for financial or trading datasets (domain experience is a strong plus).
• Ensure front-end applications run smoothly in both SaaS and on-premise environments.
• Collaborate with data engineers and ML/AI teams to visualize complex datasets.
• Optimize performance, scalability, and responsiveness across browsers and devices.
• Translate UX/UI wireframes into reusable, high-quality components.
• Participate in code reviews and promote front-end development best practices.
• Troubleshoot and resolve UI/UX issues in production environments.

Front-End UI Developer, React, AG Grid

Backend Engineer

• Design and maintain scalable ETL/ELT pipelines in Python, integrating structured and semi-structured data (JSON, CSV, XML) across Snowflake, MongoDB, Postgres, and AWS services (S3, Glue, Lambda, EC2, EMR, Redshift, RDS).
• Build and optimize transformation and orchestration workflows using DBT, Airflow, Prefect, or Dagster.
• Implement data governance, quality checks, and security best practices throughout data pipelines.
• Extend and optimize the Elastic Hierarchy framework to harmonize financial data from various systems.
• Collaborate with analysts, ML engineers, and product teams to deliver business-ready datasets and data solutions.

Data Engineer, Python, AWS, Data Pipelines

Network Operations

• Monitor, investigate, and troubleshoot network incidents in PoPs and data centers.
• Identify and diagnose network issues accurately, escalating when necessary while maintaining clear communication with internal teams and leadership.
• Collaborate with senior engineers to resolve escalated infrastructure incidents and recommend improvements to enhance redundancy, capacity, and monitoring efficiency.
• Document incidents and maintain operational visibility using established ticketing and incident management systems.
• Participate in continuous learning, peer-to-peer training, and adopt operational best practices within a dynamic NOC environment.

NOC Engineer

IT Support

• Provide first-line support for IT issues, including hardware, software, user accounts, and connectivity.
• Troubleshoot Windows OS and Microsoft 365 applications (Outlook, Teams, OneDrive, SharePoint).
• Manage and support Intune-managed endpoints, ensuring compliance with security policies.
• Document incidents, troubleshooting steps, and resolutions accurately.
• Escalate unresolved issues to higher-level support when necessary.
• Use AI-based tools to accelerate troubleshooting and improve resolution accuracy.
• Maintain high standards of customer service through timely communication and follow-up.
• Coordinate with HR and management during onboarding and offboarding to ensure proper account setup, access control, and asset management.
• Act as a communication bridge between IT, HR, and business teams.

IT Support Specialist – Microsoft Ecosystem, O365, Intune

Consultant

• Clean, reformat, manipulate, and validate incoming data for system implementation projects (employee records, payroll data, benefits, performance metrics)
• Conduct data audits and identify inconsistencies or gaps across different data sets
• Reconcile data between legacy systems and new platforms during transitions
• Collaborate closely with internal teammates
• Occasionally interact with clients to clarify data-related questions or provide support on file formatting and templates
• Maintain organized documentation of import templates, field mappings, and change logs
• Continuously optimize and document internal data workflows and QA processes
• Configure systems based on client-specific requirements — including manual data entry and bulk uploads
• Perform other responsibilities as needed

Data Consultant

Full-stack Engineer

• Full ownership of features: take responsibility from concept and architecture to production deployment.
• Collaborate with the architect and make independent architectural decisions within your domain.
• Work autonomously on complex, distributed systems ensuring scalability, reliability, and performance.
• Backend development with Ruby on Rails 8: performance tuning, background jobs (Sidekiq), custom gem development, REST and GraphQL APIs, versioning, rate limiting, secure auth patterns.
• Implement microservices and event-driven architectures with inter-service communication patterns.
• Database design and optimization for PostgreSQL: query optimization, indexing, partitioning; implement caching with Redis or Memcached.
• Frontend development: build performant UIs with JavaScript/TypeScript and frameworks (React, Vue, Angular); optimize bundlers (Webpack, Vite, esbuild); use Hotwire and Tailwind CSS.
• Design and maintain CI/CD pipelines; containerize via Docker and Kubernetes; ensure observability (monitoring, logging, Grafana).
• Integrate LLMs and agent frameworks (LangChain, CrewAI); implement MCP connectors, vector DBs for RAG, and real-time agent interfaces (WebSockets, SSE, streaming APIs).
• Product-focused engineering: implement business logic, optimize for conversion and retention, support A/B testing and feature flags.
• Apply security best practices (OWASP), OAuth/JWT flows, encryption at rest and in transit.
• Follow TDD with high automated test coverage; perform integration and end-to-end testing; lead code reviews and documentation.

Senior Full Stack Developer

Sales Engineer

• Remote position for HubSpot Sales Engineer & Revenue Operations Architect at Softgic S.A.S.
• Mission: digital and cognitive transformation; deliver quality products and services and promote continuous improvement.
• Build and optimize HubSpot pipelines, workflows, custom objects, dashboards, and automations.
• Ensure seamless handoffs across Sales, Marketing, Operations, and Investor Relations.
• Build revenue attribution models, forecasting tools, and performance scorecards.
• Use SQL, Python, and BI tools to extract and analyze HubSpot and sales data.
• Develop HubSpot-hosted pages, forms, and portals connecting to CRM workflows; customize website and landing pages.
• Connect HubSpot with third-party systems (Juniper Square, Outlook, Teams, Dynamics, Power BI, Zapier/Make, custom APIs).
• Own API integration strategy to unify data across platforms and leverage AI for lead scoring and workflow optimization.
• Build scalable automations and partner with leadership to design scalable processes; act as technical and strategic owner of RevOps infrastructure.