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Location
In office (Hyderabad)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
Rialtic is a healthtech company providing cloud-based, real-time claims editing solutions that help healthcare payers improve payment accuracy via automated policy management, analytics, and pre-activation testing.

The Golang Backend Developer will be responsible for designing, developing, and maintaining a scalable backend services ecosystem. This role involves working closely with frontend teams, architects, and infrastructure teams to deliver robust, cloud-native applications. The engineer will focus on building high-performance APIs and microservices using Golang, ensuring system reliability, scalability, and security.

Responsibilities:

  • Design, build, and maintain scalable ETL pipelines to ingest data from multiple internal and external sources.
  • Develop and optimize data warehouse/data lake architecture.
  • Build scalable and high-performance RESTful APIs and microservices.
  • Design and optimize data storage solutions using SQL databases.
  • Collaborate with frontend developers to integrate user-facing elements with server-side logic.
  • Follow Agile/Scrum practices, including sprint planning, stand-ups, and retrospectives.
  • Analyze complex problems and propose efficient backend solutions.
  • Ensure code quality through best practices, unit testing, and code reviews.
  • Take ownership of features/modules and deliver high-quality outcomes.
  • Work with DevOps teams for CI/CD, deployment, and monitoring.

Requirements:

  • 4 years of relevant software development experience.
  • Strong backend development experience using Golang.
  • Minimum 2-3 years of experience building and deploying cloud-native applications.

Technical Expertise:

  • 5+ years of experience in backend development with Golang.
  • Strong understanding of microservices architecture and distributed systems.
  • Experience designing and developing REST APIs and event-driven services.
  • Hands-on experience with SQL databases (PostgreSQL, MySQL, etc. ).
  • Familiarity with NoSQL databases (e. g., Cassandra, DynamoDB, and Elasticsearch) is a plus.
  • Experience with Docker and Kubernetes for containerized deployments.
  • Experience working with cloud platforms (AWS, Azure, or GCP).
  • Knowledge of message queues/streaming systems (Kafka, RabbitMQ, etc. ).
  • Familiarity with OAuth 2.0 JWT and secure API design.
  • Experience with Git or similar version control systems.

Desired Skills:

  • Experience in building high-throughput, low-latency systems.
  • Familiarity with monitoring and observability tools such as Datadog, Prometheus, and Grafana.
  • Understanding of caching strategies using Redis or Memcached.
  • Exposure to system design and scalability best practices.
  • Experience working in large-scale distributed environments.
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