Senior Backend Python Developer

Muttdata
Argentina
Remote

Who this role is best for

Best suited to Python backend developers with microservices experience working in the financial industry.

Best fit for

  • Candidates with 5+ years of Python microservices experience in production environments
    β€” β€œ5+ years of backend experience in Python, with microservices running in production.”
  • Individuals who have applied hexagonal/clean architecture in real-world systems
    β€” β€œHands-on experience applying hexagonal / clean architecture in real production systems.”
  • Developers with a background in building scalable, resilient systems using AWS tools
    β€” β€œExperience with Docker, Kubernetes, CI/CD, and observability tools β€” ideally on AWS.”

Things to consider

  • The role demands full lifecycle ownership of services, including deployment and monitoring
    β€” β€œOwn the full lifecycle of services: design, implementation, testing, deployment, and monitoring.”
  • Candidates should be prepared for high standards typical of the financial industry
    β€” β€œhigh-standards environment typical of the financial industry”

How to stand out

  • Highlight experience with FastAPI and event-driven architecture in your resume and interview
    β€” β€œStrong experience with FastAPI (or an equivalent async framework).”
  • Demonstrate your ability to implement resilience patterns like caching and retries
    β€” β€œImplement resilience and scalability patterns: caching, rate limiting, retries, and event-driven/message queue architectures.”
  • Showcase your work with both relational and NoSQL databases in your portfolio or projects
    β€” β€œExperience with relational databases (PostgreSQL) and NoSQL databases (e.g., DynamoDB).”
  • Emphasize your track record of contributing to technical decisions in system design
    β€” β€œContribute to technical decision-making regarding infrastructure, tooling, and system design.”
Pace Β· Fast PacedCollaboration Β· HighAutonomy Β· MediumDecision Impact Β· TeamLevel Β· Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and maintain microservices
  • apply clean architecture principles
  • implement scalability and resilience patterns
  • collaborate with cross-functional teams
Typical background
5+ years of backend experience in Pythonexperience with FastAPI or equivalent async frameworkhands-on experience with hexagonal/clean architecture

Skills & requirements

Required

PythonFastapiHexagonal ArchitectureMicroservicesScalabilityResilience PatternsPostgreSQLDynamodb

Preferred

AWSSnowflakeDatabricks

Stack & domain

PythonFastapiHexagonal ArchitectureScalability And Resilience PatternsRelational Databases (postgresql)Nosql Databases (e.g., Dynamodb)LeadershipCollaborationContinuous LearningData ProductsMachine LearningCloud-based SystemsRecommendation Models

About the role

Original posting from Muttdata via Lever

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 proactive, technically strong Senior Backend Python Developer to join our team πŸΆπŸš€. You'll work on a strategic project for one of our banking clients, designing and maintaining the microservices that power our AI platform β€” including model gateway, agent orchestration, and retrieval APIs β€” with a strong focus on clean architecture, scalability, and reliability.

This role requires strong ownership, solid architectural judgment, and the ability to build systems that are secure, performant, and built to scale. You'll collaborate closely with cross-functional teams in a fast-paced, high-standards environment typical of the financial industry.

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€“:

  • Design and maintain the platform's core microservices: model gateway, agent orchestration, and retrieval APIs.
  • Apply clean/hexagonal architecture principles to ensure maintainable, testable, and scalable systems.
  • Implement resilience and scalability patterns: caching, rate limiting, retries, and event-driven/message queue architectures.
  • Own the full lifecycle of services: design, implementation, testing, deployment, and monitoring.
  • Collaborate with architects, DevOps, and other engineering teams to define technical solutions aligned with business needs.
  • Ensure code quality through testing, code reviews, and adherence to engineering best practices.
  • Contribute to technical decision-making regarding infrastructure, tooling, and system design.
  • Participate in incident response and troubleshooting for production systems.Β 

Required Skills πŸ’»:

  • 5+ years of backend experience in Python, with microservices running in production.
  • Strong experience with FastAPI (or an equivalent async framework).
  • Hands-on experience applying hexagonal / clean architecture in real production systems.
  • Experience with scalability and resilience patterns: caching, rate limiting, retries, message queues / event-driven architecture.
  • Experience with relational databases (PostgreSQL) and NoSQL databases (e.g., DynamoDB).
  • Experience with Docker, Kubernetes, CI/CD, and observability tools β€” ideally on AWS.Β 

Nice to have πŸ’»:

  • Experience integrating LLMs (streaming, LiteLLM, LangGraph, RAG).
  • Familiarity with Langfuse.
  • Experience with Kafka or SQS.
  • Knowledge of API security standards (OAuth2/JWT).
  • Experience with Terraform.
  • Previous experience working in the banking/financial industry.

🎁 Perks:

  • 🌍 Remote-first culture – work from anywhere!
  • πŸš€Β 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 ReimbursementΒ  – Because supporting families matters too

Source: Muttdata careers (Lever)

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