Axetriura, LLC

Position: Senior Python / GCP Data Engineer
Location: Remote
Employment Type: Full-Time
Salary: $2,000–$3,000 USD per month (depending on experience)
Working Hours: Must be available during U.S. business hours (Eastern Time Zone)
Experience Level: Mid-Level to Senior (4+ years preferred)

Job Overview

We are looking for an experienced Python / GCP Data Engineer to design, develop, and maintain scalable data pipelines, backend APIs, and cloud-based data processing systems.

The ideal candidate has strong experience with Google Cloud Platform (GCP), Python, FastAPI, BigQuery, Apache Iceberg, and DuckDB, along with a solid understanding of modern data engineering architectures.

Experience in the healthcare industry is highly preferred, particularly working with healthcare datasets, FHIR, HL7, or HIPAA-compliant systems.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Python and GCP.
• Develop high-performance RESTful APIs and microservices using FastAPI.
• Build and optimize analytical data solutions using BigQuery, Apache Iceberg, and DuckDB.
• Integrate data from multiple sources, including REST APIs, databases, cloud storage, and third-party systems.
• Design and maintain data lake and lakehouse architectures.
• Work with GCP services such as Cloud Run, Cloud Functions, Cloud Storage, Pub/Sub, Dataflow, Dataproc, and Cloud Composer.
• Optimize SQL queries, data processing performance, and cloud infrastructure costs.
• Implement data validation, quality checks, monitoring, and error handling.
• Develop automated testing and CI/CD pipelines for backend services and data workflows.
• Collaborate with engineering and product teams to deliver reliable, production-ready solutions.
• Implement secure data access, authentication, and authorization following cloud security best practices.

Required Qualifications

• 4+ years of professional experience in Python backend development or data engineering.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Advanced Python programming skills, including asynchronous programming and data processing.
• Production experience building APIs using FastAPI.
• Strong SQL skills and experience with Google BigQuery.
• Experience with Apache Iceberg, DuckDB, or similar modern analytical data technologies.
• Experience building ETL/ELT pipelines and handling large datasets.
• Familiarity with data modeling, partitioning, indexing, and query optimization.
• Experience with Docker, Git, and CI/CD pipelines.
• Understanding of cloud IAM, service accounts, authentication, and security.
• Strong debugging, troubleshooting, and problem-solving skills.
• Good English communication skills.

Preferred Qualifications

• Previous experience in the U.S. healthcare industry.
• Knowledge of healthcare data standards such as FHIR, HL7, and EHR/EMR integrations.
• Understanding of HIPAA compliance and secure handling of PHI/PII.
• Experience with GCP Healthcare API and FHIR data processing.
• Experience with Apache Airflow, dbt, Apache Beam, or PySpark.
• Familiarity with Terraform and Infrastructure as Code.
• Experience with PostgreSQL, Redis, or other database technologies.
• Knowledge of data governance, observability, and performance monitoring.
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Working Hours & Availability

U.S. time zone availability is a strict requirement for this position.

• Must be available during U.S. Eastern Time (ET) business hours.
• Full-time commitment of approximately 40 hours per week.
• Must be able to attend daily standups, technical discussions, and team meetings.
• Strong communication skills and responsiveness during working hours are essential.
• Candidates unable to maintain consistent U.S. time zone availability will not be considered.

C#/.NET Engineer – ERP & QuickBooks Integration

Location: Ukraine — 100% Remote
Employment Type: Full-Time
Salary: $2,000–$2,500 USD/month
Required Working Hours: U.S. Eastern Time (ET)

About the Role

We are looking for an experienced C#/.NET Engineer based in Ukraine to join our development team and work primarily on ERP development and QuickBooks integrations.

This is a remote position, but candidates must be available to work U.S. Eastern Time business hours. This requirement is important because the engineer will collaborate directly with our U.S.-based engineering team, customers, and business stakeholders.

You will build and maintain backend services, APIs, synchronization processes, and integrations connecting our ERP platform with QuickBooks and other business systems.

Responsibilities

• Develop and maintain backend applications using C# and .NET / .NET Core.
• Build and maintain ERP integrations with QuickBooks.
• Develop integrations with QuickBooks Online (QBO) APIs.
• Work with customers, vendors, invoices, payments, bills, expenses, purchase orders, accounts, payroll-related data, and inventory.
• Design reliable two-way data synchronization between ERP and QuickBooks.
• Build REST APIs, webhooks, background services, and scheduled synchronization jobs.
• Implement OAuth 2.0 and other authentication mechanisms.
• Handle data mapping and transformation between ERP and QuickBooks.
• Troubleshoot synchronization failures, duplicate records, API errors, and data inconsistencies.
• Implement retry mechanisms, logging, monitoring, and error handling.
• Work extensively with SQL Server and relational data.
• Investigate and resolve production integration issues.
• Participate in code reviews and architecture discussions.
• Collaborate directly with U.S.-based developers, product managers, customers, and stakeholders.

• Participate in meetings and technical discussions during U.S. Eastern Time working hours.

   

Required Technical Skills

• 3+ years of professional C#/.NET development experience
• Strong C# programming skills
• .NET 6/7/8 or later
• ASP.NET Core / Web API
• REST API development and third-party integrations
• SQL Server
• Entity Framework / Entity Framework Core
• OAuth 2.0
• JSON and API data transformation
• Background workers and scheduled jobs
• Asynchronous programming (async / await)
• Git
• Strong debugging and troubleshooting skills

ERP & QuickBooks Experience

Experience in one or more of the following is strongly preferred:

• QuickBooks Online API
• QuickBooks Desktop integrations
• QuickBooks Web Connector
• ERP development
• Accounting system integrations
• Customer/vendor synchronization
• Invoice and payment synchronization
• Payroll integrations
• Inventory and purchasing workflows
• CRM-to-accounting integrations
• Financial data synchronization

Previous QuickBooks integration experience is highly preferred.

Nice to Have

• Microsoft Azure
• Azure Functions
• Azure App Service
• Azure SQL
• Azure Service Bus
• Docker
• CI/CD
• GitHub Actions or Azure DevOps
• Microservices
• Message queues
• Redis
• Vue.js, Angular, or React
• Multi-tenant SaaS experience
• Experience modernizing legacy .NET applications

Working Hours — Important

This position requires working according to the U.S. Eastern Time (ET) schedule.

Candidates must be comfortable working U.S. business hours from Ukraine and should be consistently available during the agreed Eastern Time schedule for:

• Daily development work
• Team meetings
• Customer meetings
• Technical discussions
• Production support
• Collaboration with U.S.-based team members

Please apply only if you are comfortable working U.S. Eastern Time hours on a long-term basis.

What We're Looking For

We need an engineer who can take ownership of integrations from beginning to end: understand the business workflow, review third-party API documentation, design the solution, implement it, test it, deploy it, and troubleshoot production issues.

Because this role involves accounting and financial data, accuracy, reliability, data integrity, logging, and robust error handling are critical.

Strong English communication skills are also important because you will regularly communicate with U.S.-based team members and potentially customers.

Software Engineer – AI, Data & Full Stack

Employment Type: Full-Time, Remote
Working Hours: U.S. Time Zone
Salary: $2,000–$2,500 USD per month

About the Role

We are looking for a Software Engineer – AI, Data & Full Stack to join our engineering team and build production-ready AI applications, backend services, data pipelines, and modern web applications.

The ideal candidate has strong experience with Python, FastAPI, AI/LLMs, RAG, MCP, Vue.js, and Angular, along with practical knowledge of cloud infrastructure and CI/CD.

The position is 100% remote, but candidates must be available to work during U.S. business hours.

Key Responsibilities

• Develop backend applications and APIs using Python and FastAPI.
• Build responsive frontend applications using Vue.js and Angular.
• Integrate frontend applications with REST APIs and AI-powered backend services.
• Build AI applications using LLMs, Generative AI, RAG, and AI agents.
• Develop and integrate Model Context Protocol (MCP) servers and tools.
• Design and optimize prompts using modern prompt engineering techniques.
• Implement embeddings, semantic search, and vector database solutions.
• Build data processing, ETL, and machine-learning pipelines.
• Integrate external APIs and third-party platforms.
• Design scalable REST APIs and microservices.
• Containerize applications using Docker.
• Build and maintain CI/CD pipelines using CircleCI.
• Deploy and maintain applications on AWS.
• Write unit, integration, and API tests.
• Monitor and troubleshoot applications in production.
• Participate in code reviews and architecture discussions.
• Collaborate with engineering, data science, AI, and product teams.

Required Technical Skills

Backend

• Python
• FastAPI
• REST APIs
• Pydantic
• Async Python
• SQL
• PostgreSQL

• Redis

   

Frontend

• Vue.js
• Angular
• JavaScript
• TypeScript
• HTML5
• CSS3
• REST API integration
• Responsive web development
• Modern frontend architecture and component-based development

Experience with Pinia/Vuex, RxJS, Angular Material, Tailwind CSS, or Bootstrap is a plus.

AI / LLM Engineering

• Large Language Models (LLMs)
• Generative AI
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• AI Agents / Agentic AI
• Tool and function calling
• Embeddings
• Semantic search
• Vector databases
• LLM evaluation and testing

Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, or AWS Bedrock is highly desirable.

Data Science & Data Engineering

• Pandas
• NumPy
• Scikit-learn
• Data preprocessing
• ETL/data pipelines
• Machine learning fundamentals
• Model evaluation

• Data analysis

   

DevOps & Cloud

• AWS
• Docker
• CI/CD
• CircleCI
• Git / GitHub
• Linux
• Cloud deployment and monitoring

Experience with Kubernetes, Terraform, GitHub Actions, AWS ECS/ECR, Lambda, S3, RDS, CloudWatch, IAM, and Bedrock is a plus.

Additional Preferred Skills

• Multi-agent AI systems
• MCP server architecture
• Langfuse or similar AI observability platforms
• RAG/LLM evaluation frameworks
• Microservices architecture
• Multi-tenant SaaS architecture
• OAuth 2.0 / JWT
• WebSockets
• Celery
• Kafka, RabbitMQ, or AWS SQS
• Pytest
• MLOps
• Application monitoring and observability
• Agile/Scrum development

Qualifications

• 5+ years of professional software engineering, full-stack engineering, AI/ML engineering, or related experience.
• Strong hands-on experience with Python.
• Professional experience with Vue.js and/or Angular.
• Experience developing REST APIs with FastAPI or similar Python frameworks.
• Practical experience building applications using LLMs and Generative AI.
• Understanding of RAG, MCP, embeddings, vector search, and prompt engineering.
• Experience with Docker and CI/CD.
• Familiarity with AWS cloud infrastructure.
• Strong debugging and problem-solving skills.
• Ability to work independently in a remote environment.
• Good written and verbal English communication skills.
• Ability to work and collaborate during U.S. business hours.

Position Details

Salary: $2,000–$2,500 USD/month
Employment: Full-Time
Location: 100% Remote
Working Hours: U.S. Time Zone

We are looking for an engineer who can work across the full application stack—from Vue.js/Angular frontends and Python/FastAPI backend services to RAG, MCP, AI agents, data pipelines, AWS infrastructure, and production deployment.