ArgentinaPlatform Engineer
1 мес. назад
ArgentinaLATAMLeadRemote
architectural judgmenttechnical leadership
Technical leadership role to guide platform architecture and modernization efforts in a financial industry setting.
О компании
- 🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At , we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We're looking for a Platform Engineer with strong technical leadership to join our team 🐶🚀, working on a strategic project for one of our banking clients. This is a Tech Lead / Staff Engineer role: someone who leads through influence and technical credibility rather than formal authority, brings sharp architectural judgment, and raises the bar for the engineering team through example, standards, and clear decision-making. This role is critical to the platform's technical direc
Обязанности
- Provide technical leadership across the platform team, influencing and guiding decisions without relying on formal authority.
- Evaluate and challenge architectural decisions with solid reasoning, identifying wrong paths early and proposing corrections.
- Apply strong, up-to-date knowledge of modern backend (Python, APIs, microservices, CI/CD) and/or the modern data stack (dbt, Redshift, orchestration, Data Mesh) to unblock concrete problems and support technical decisions.
- Use AI tools intensively as part of the daily engineering workflow (PoCs, code reviews, documentation).
- Collaborate with existing technical leads, co-creating solutions and finding common ground while sustaining technical disagreements without damaging relationships.
- Communicate decisions through ADRs/RFCs, setting and raising the team's engineering standards.
- Support modernization efforts, balancing new architecture with legacy/on-prem constraints.
Будет плюсом
- Experience covering both backend and the full modern data stack (one is sufficient, both is a plus).
- Experience with Internal Developer Platforms and golden paths (Backstage, NullPlatform, or similar).
- Experience with AI/LLM platforms.
- Strong DevOps knowledge, ideally with AWS.
- Experience leading modernization efforts in environments coexisting with legacy/on-prem systems.
- Previous experience in the banking/financial industry.
Условия
- 🌍 Remote-first cultur e – work from anywhere!
- 🚀 In-Company English Lessons.
- 💪 Wellhub or sports club stipend to stay active
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🍕 Food credits via Pedidos Ya – because great work deserves great food.
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️ 🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too
Другое
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
- Amazon Web Services
- Astronomer
- Databricks
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
- Proven experience as a Tech Lead or Staff Engineer, leading through influence, consensus, and example.
- Strong architectural judgment, with experience challenging and validating technical decisions.
- Solid, current knowledge of modern backend engineering (Python, APIs, microservices, CI/CD) and/or the modern data stack (dbt, Redshift, orchestration, Data Mesh) — sufficient depth in at least one to unblock the team on concrete problems.
- Active use of AI tools in daily engineering work (PoCs, reviews, documentation).
- Strong political and interpersonal skills — able to co-create with existing technical stakeholders and manage disagreement constructively.
- Experience documenting and communicating decisions via ADRs/RFCs and technical standards.