Job Description

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

5-8 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.

If you are passionate about technology and eager to work in a collaborative environment, we would love to hear from you!