π Join Our Remote Data Products & Machine Learning Startup! π
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, weβre passionate about technology, collaboration, and continuous learning.
We are looking for an experienced, hands-on, and ownership-driven Backend Engineer (Advanced) to join our team πΆπ. In this role you will design, build, and operate production-grade backend services and REST APIs with Python and FastAPI on Microsoft Azure, including a communications dispatch service that integrates messaging queues and external APIs such as Braze.
You will work closely with development, data, and IT/DevOps teams, integrating backend services with Azure components, relational databases, third-party APIs, and data processes running on platforms like Databricks. Reliability, observability, and clean, maintainable code are at the core of this role.
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
π We are Data Nerds
π€ We are Open Team Players
π We Take Ownership
π We Have a Positive Mindset
π Curious about what weβre up to? Check out
our case studies and dive into our
blog post to learn more about our culture and the exciting projects weβre working on! π
Design, develop, and evolve backend services and REST APIs with Python and FastAPI, applying best practices in architecture, security, and maintainability.
Build and operate the communications dispatch service, integrating message queues and external APIs (Braze) with idempotency, retries, rate limiting, and robust error handling.
Integrate and orchestrate platform components, including Azure services, databases, third-party APIs, and data processes running on platforms like Databricks.
Design and maintain persistence solutions in Azure SQL, including data modeling, migrations, data integrity, and query optimization.
Ensure backend reliability and observability in production through monitoring, tracing, automated testing, and failure recovery mechanisms.
Collaborate with development, data, and IT/DevOps teams on technical decisions, component integration, CI/CD pipelines, and deployments across environments.
Maintain clear and up-to-date technical documentation.
3β5 years of experience in backend development, with demonstrable participation in building, integrating, and operating production services.
Strong command of Python and experience building REST APIs with FastAPI or equivalent frameworks.
Experience designing modular, maintainable software, applying SOLID principles, separation of concerns, and automated testing best practices.
Experience integrating APIs and distributed systems, including authentication, error handling, timeouts, retries, and resiliency patterns.
Experience with asynchronous processing and messaging systems: queues, dead-letter handling, and idempotency (e.g., Azure Service Bus or equivalents).
Strong SQL and relational database skills, including modeling, querying, migrations, and ORMs; SQL Server or Azure SQL preferred.
Experience with Docker and deploying containerized services.
Hands-on experience with cloud services, preferably Microsoft Azure, including monitoring, Git version control, and CI/CD processes.
Experience integrating and orchestrating data processes from backend services, especially with Azure Databricks or other data processing platforms.
Experience with containerized infrastructure in the cloud, including Kubernetes/AKS or Azure Container Registry.
Experience with Braze or similar customer engagement platforms.
π Remote-first culture β work from anywhere!
π In-Company English Lessons.
πͺ Wellhub or sports club stipend to stay active
π AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
π Food credits via Pedidos Ya β because great work deserves great food.
π Birthday off + an extra vacation week (Mutt Week! ποΈ)
π€ Referral bonuses β help us grow the team & get rewarded!
βοΈποΈ Annual Mutters' Trip β an unforgettable getaway with the team!
πΆ Monthly Childcare Reimbursement β Because supporting families matters too
