• Dołączysz do zespołu pracującego nad rozwijającą się platformą SaaS wspierającą liderów zespołów poprzez dostarczanie insightów dotyczących pracy zespołów. • Produkt wspierany przez AI, pomaga managerom lepiej rozumieć dynamikę zespołów oraz podejmować bardziej świadome decyzje w codziennej pracy.

• Backend: Build low-latency, asynchronous systems using Python (OOP) and FastAPI. • Frontend: Architect responsive React/Angular UIs and data-driven dashboards. • API Management: Design and secure RESTful endpoints for seamless integrations. • Performance: Optimize state management and queries for high-concurrency traffic. • Architecture: Maintain modular, clean code using Git and comprehensive testing.

Role Description We are looking for a Staff Software Engineer to be a technical leader and a "finder" of opportunities across our engineering organization. At VTEX, a Staff Engineer doesn’t just solve complex problems; they anticipate them. - Solve ambiguous problems involving multiple systems within a vertical domain. - Ensure architectural consistency and scalability for our global platform. - Shape the technical direction, define engineering patterns, and create a long-term technical vision that aligns with business objectives. - Lead cross-team design reviews and unblock strategic initiatives through influence and expert guidance. Qualifications - The "Finder" Mindset: Proven track record of finding opportunities, anticipating hidden technical risks, and proactively preventing problems from design to production. - System-wide Architect: Extensive experience building backend systems for large-scale applications and comfortable designing scalable solutions that involve complex, multi-system dependencies. - Technical Visionary: Ability to translate business goals into a clear technical vision and define the "golden paths" and engineering practices that other teams will follow. - Multiplier of Talent: Strong delegator who knows how to scale execution by empowering others, with experience mentoring multiple engineers and influencing decision-making across several teams. - Language Agnostic: Proficient in multiple programming languages, with C# as the primary language. - Strategic Communicator: Effective communication of complex technical concepts to both technical and non-technical audiences in English and Portuguese. - Curious & Hands-on: Stay up to date with market trends and intentionally use AI, LLMs, and automation to boost team productivity and code quality. Benefits - Annual profit-sharing program and equity eligibility. - Health, dental, and life insurance with national coverage provided by VTEX. - Annual budget for professional development in Tech. - Language development incentive program (English, Spanish, Portuguese). - Flexible meal allowance. - Extended parental leaves. - Child-care assistance. - Flexible work schedule and remote-first culture. - Financial assistance to build your work-from-home setup. - Wellness program. - Free shipping on 1000+ VTEX stores.

We are seeking a highly analytical and experienced Senior Data Engineer to help optimize production forecasting and operations scheduling within the petroleum engineering domain. You’ll bridge the gap between complex mathematical models (reservoir dynamics, optimization, logistics) and robust, cloud-scale data systems. This role requires a unique combination of deep Python expertise, mastery of modern data processing and API frameworks, and a strong foundational understanding of mathematics, reasoning, and petroleum engineering principles. Responsibilities Data Architecture & Engineering - Design, build, and maintain scalable data pipelines for ingesting, transforming, and validating time-series data related to well performance, sensor readings, and operational logs. - Develop robust, high-performance data models using PyArrow and Pandas for efficient analysis and transfer. - Implement data quality and schema validation using Pydantic to ensure data integrity across all stages of the pipeline. - Manage and optimize data storage and retrieval in MongoDB, and integrate with cloud-native platforms like GCP BigQuery or Snowflake where applicable. API & Application Development - Build, deploy, and maintain high-performance asynchronous microservices and prototypes using FastAPI or Flask to serve complex optimization and scheduling model predictions. - Use Postman for testing, documenting, and automating API workflows. - Containerize and orchestrate applications using Docker and manage deployment on Google Cloud Platform (GCP). Quantitative Analysis & Optimization - Collaborate with reservoir and operations teams to translate complex scheduling and logistics problems into mathematical models (e.g., linear programming, resource allocation). - Implement numerical routines and simulations efficiently using NumPy for use in production environments. - Apply strong logical and analytical reasoning to debug, validate, and interpret the outputs of operational scheduling algorithms. Requirements - Education: Bachelor’s or Master’s degree in Petroleum Engineering, Computer Science, Mathematics, Operations Research, or related quantitative field, or equivalent experience. - Quantitative Strength: Proven ability to work with mathematical modeling, optimization, and time-series analysis, including: o Linear and Mixed-Integer Programming o Probability and Statistics o Algorithmic Complexity and Performance Reasoning - Collaborative mindset — experience working closely with data scientists, product owners, and domain experts to deliver production-ready systems. Preferred Qualifications - Domain Expertise: Solid understanding of well operations, drilling logistics, production data, and scheduling workflows. - Experience working with large-scale or streaming datasets. - Experience with mathematical modeling and optimization libraries (SciPy, PuLP, OR-Tools). - Experience setting up CI/CD pipelines and container deployments on GCP.