Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.
Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.
Our client is a US-based technology company focused on driving the next generation of vehicle and mobile technologies.
For them, we are hiring a Senior Backend-Heavy Full Stack Engineer to join a team responsible for managing customer profile systems, secure data integrations, and high-volume backend services.
This role is 90% backend-focused, with light frontend involvement when required.
The team operates in a highly secure, data-sensitive environment and builds event-driven systems handling large-scale data processing.
If you're more of a 50/50 (Frontend and Backend) kind of fullstacker, strong in React+Node (or Python) and AWS, and you also live in Latin America, please check another role we have here - https://virtasant.teamtailor.com/jobs/7285272-senior-full-stack-engineer-50-50-fe-be-latam-est-hours
Designing and building Python-based backend services
Developing APIs using FastAPI
Designing and maintaining event-driven architectures
Managing large-scale data ingestion and ETL workflows
Working with MongoDB
Deploying and maintaining AWS serverless services
Supporting secure B2B API integrations
Improving reliability, performance, and system scalability
You deeply understand the client profile and integration architecture
You independently design and ship backend features
You improve data flow reliability and performance
You demonstrate strong production ownership
You contribute to architecture and system improvements
Strong experience with Python
Hands-on experience with FastAPI
Deep understanding of event-driven architecture
Experience handling high-volume data systems
Strong experience with either MongoDB or DynamoDB
Experience designing schemas and optimizing queries
Familiarity with ETL design patterns
Experience with AWS (Lambda, serverless architecture)
Experience with Apache Airflow (preferred)
Understanding of monitoring and observability
Some experience with React
Comfortable making minor frontend updates when needed
Working knowledge of Lexbots, Bedrock, Eventbridge, SNS/SQS, logging frameworks and monitoring tools (Datadog/Splunk)
Working knowledge of OpenSearch.
Familiarity with Apache Airflow.
This role operates in a data-sensitive environment. Candidates must:
Understand API security best practices
Think carefully about data access control
Build systems with compliance and security in mind
Backend-first fullstack engineers
Systems thinkers
Comfortable working with large datasets
Proactive and solution-oriented
Strong sense of production accountability
Recruiter Screen (30 min)
Technical Interview (30 min)
Client's Technical Round - two one-hour interviews, both on the same day
Client Comms & Collab Round - two 30-minute interviews, both on the same day
We strive to move efficiently from step to step so that the recruitment process can be as fast as possible.
Totally remote, full-time (40h/week)
EST work hours
Long-term, solid independent contractor agreement
Payment in USD, by-weekly or monthly - your choice.

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