Platform Engineer

🚀 What We Do

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.

🌟 Our Partnerships

Amazon Web Services
Astronomer
Databricks

🌟 Our Values

📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset
 
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

• 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. 

Required Skills💻

• 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. 

Required Skills ( Nice to Haves) 💻

• 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. 

🎁 Perks

🌍 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