Job Url: https://ouryahoo.wd5.myworkdayjobs.com/en-US/careers/job/United-States-of-America/Software-Development-Engineer-II_JR0026095?source=LinkedIn

Job Description: Location: Remote

Responsibilities

Design, build, and maintain distributed backend services with a focus on scalability, performance, and reliability.

Develop and optimize GraphQL APIs that serve real-time and batch data to internal and external consumers.

Work with a variety of data storage technologies, including cloud storage (S3) and databases (NoSQL, RDMS).

Create caching solutions with Redis and OpenSearch, including TTL, invalidation, and indexing strategies.

Build and manage data pipelines and streaming applications using tools like Apache Kafka, Flink, AWS Lambda or similar technologies.

Collaborate with cross-functional teams including product, frontend, data, and infrastructure to deliver high-impact features.

Support observability, operational excellence, and incident response for production services.

Support infrastructure provisioning using infrastructure-as-code (IaC) tools like Terraform, emphasizing reliability and repeatability. 

Contribute to technical design reviews and help evolve architecture decisions.

Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

Required Skills & Experience

3–5 years of backend software development experience.

Proficiency in one or more backend languages such as Java, Kotlin, Go, or Python.

Experience using core data structures to build and scale RESTful and GraphQL APIs.

Strong understanding of distributed systems concepts (e.g., consistency, availability, partitioning).

Hands-on experience with NoSQL databases (e.g., DynamoDB, MongoDB) and relational databases (e.g., PostgreSQL, MySQL).

Familiarity with messaging systems (SNS, SQS) or streaming platforms (e.g., Kafka, Pulsar).

Exposure to cloud infrastructure (AWS, GCP) and container-based deployment workflows.

Experience with CI/CD pipelines (Github Actions) and observability tools (e.g., Cloudwatch, Splunk, Prometheus, Grafana, Datadog) is a plus.