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Platform Engineer

Role overview

Qualifications

  • Proven experience as a Tech Lead or Staff Engineer
  • Strong architectural judgment
  • Solid, current knowledge of modern backend engineering and/or the modern data stack
  • Strong political and interpersonal skills

Responsibilities

  • Provide technical leadership across the platform team
  • Evaluate and challenge architectural decisions
  • Apply strong, up-to-date knowledge of modern backend and/or data stack
  • Collaborate with existing technical leads and co-create solutions

About the company

MUTT DATA logo

MUTT DATA

Artificial Intelligence & Machine Learning Services

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

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Job description

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€
At Muttdata, 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 πŸΆπŸš€, 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 direction. You'll partner closely with existing technical leads and stakeholders, challenge decisions with solid reasoning, and help the team navigate complex modernization efforts β€” including legacy/on-prem environments β€” in a demanding, high-standards financial industry setting.


πŸš€ 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
  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
  •  
    πŸ” 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! πŸš€

    Responsibilities πŸ€“
  • 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 SkillsπŸ’»
  • 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) β€” 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 β€” 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) πŸ’»
  • 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!
  • πŸš€ In-Company English Lessons.
  • πŸ’ͺ Wellhub or sports club stipend to stay active
  • πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • πŸ• Food credits via Pedidos Ya – because great work deserves great food.
  • πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • 🀝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • πŸ‘Ά Monthly Childcare Reimbursement  – Because supporting families matters too
  • Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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