Platform Engineer

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MUTT DATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🛡️ Insurance

📦 Logistics

Marketing • Insurance • Logistics

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• 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.

🎯 Requirements

• 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. • 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.

🏖️ Benefits

• 🌍 Remote-first culture – 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