Archetype Group

We are seeking a highly skilled Senior Backend Engineer with strong expertise in ASP.NET and a proven track record in building scalable, data-intensive systems.

The ideal candidate is a back-end generalist who thrives at the intersection of API design, distributed systems, and data engineering.

This role requires hands-on experience with API gateways, event-driven architectures, pub-sub systems, and large-scale data pipelines, making it well-suited for someone who is passionate about solving complex backend and data challenges.

Key Responsibilities :

- Backend Development: Design, develop, and maintain robust backend services and APIs using ASP.NET.

- API Design & Integration: Build secure, scalable, and well-documented REST/GraphQL APIs; manage API gateway configurations.

- Event-Driven Architecture: Implement and optimize pub-sub and event-streaming solutions using Kafka, Spark, or equivalent technologies.

- Data Engineering: Develop and maintain ETL pipelines to support large-scale data ingestion, transformation, and analytics workloads.

- Database Management: Work with relational and NoSQL databases (MongoDB, DynamoDB) for high-performance data storage and retrieval.

- Scalability & Performance: Architect systems that scale for high throughput and reliability across distributed environments.

- Collaboration: Partner with frontend engineers, data scientists, and DevOps teams to deliver end-to-end solutions.

- Best Practices: Champion clean code, test-driven development, CI/CD, observability, and performance optimization.

Required Skills & Experience

- 58 years of experience in backend development, with a strong focus on ASP.NET / .NET Core.

- Deep understanding of API design principles, REST/GraphQL standards, and API gateway management.

- Proven experience with event-driven systems (pub-sub, message queues, event scaling).

- Hands-on expertise with Apache Kafka, Apache Spark, or similar streaming technologies.

- Strong background in ETL pipeline development and working with large datasets.

- Experience with NoSQL databases such as MongoDB and DynamoDB.

- Solid understanding of cloud-native architectures (AWS, Azure, or GCP).

- Strong problem-solving skills with the ability to design scalable and fault-tolerant systems.

Preferred Qualifications :

- Exposure to data platforms (e.g., Snowflake, Redshift, BigQuery).

- Experience with containerization (Docker, Kubernetes) and microservices.

- Knowledge of monitoring, observability, and logging tools (e.g., Prometheus, Grafana, ELK stack).

- Prior experience working in Agile/Scrum teams.

What We Offer :

- Competitive salary and benefits package.

- Opportunities for professional development and career growth.

- A collaborative and inclusive work environment.

- Exposure to cutting-edge technologies and innovative projects.

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