Description:

Collaborate with cross-functional teams to design and implement backend services and APIs.
Write efficient, scalable, and maintainable server-side code using modern backend technologies.
Develop and optimize microservices for high-performance distributed systems.
Streamline real-time data processing and event-driven architectures.
Conduct unit, integration, and load testing to ensure system reliability and performance.
Implement RESTful APIs and server-side logic using Python and FastAPI.
Develop and deploy containerized applications in cloud environments (e.g., Docker, Kubernetes).
Work with server-side events and messaging queues (e.g., SQS) to support real-time communication.
Ensure application security, scalability, and resilience through robust backend design.

Requirements:

8+ years of experience as a backend engineer.
Strong experience with either Java or Python, with some exposure to both preferred.
Experience with building REST APIs using frameworks like FastAPI or Flask.
Expertise in microservices architecture and deployment in containerized environments (e.g., Docker, Kubernetes).
Solid understanding of databases (e.g., Snowflake, AWS DynamoDB, RDS, MySQL, MongoDB).
Experience with distributed search and indexing technologies (e.g., Elasticsearch, OpenSearch, Solr).
Proficiency with server-side events, event-driven architectures, and messaging systems.
Experience with cloud-based deployment on AWS, including Serverless platforms.
Knowledge of CI/CD tools and pipelines (e.g., GitHub Actions, Octopus).
Strong problem-solving skills and experience debugging and optimizing backend systems.
Solid understanding of security best practices for backend systems.
Experience with agile development methodologies.
Proficiency in logging and monitoring tools for backend systems (e.g., Prometheus, Grafana, CloudWatch).
Experience integrating with third-party APIs and ensuring data consistency.
Flexibility to work across global time zones (EST, IST, and others).

Skills