About the role

Backend Engineer

Build and scale high-performance backend systems, distributed architectures, and APIs that power core user-facing products.

Responsibilities

Design, build, and maintain scalable APIs and distributed microservices.
Optimize application performance and database queries across PostgreSQL, Redis, and other NoSQL data stores.
Implement asynchronous task queues and event-driven architectures using Kafka, RabbitMQ, or AWS SQS.
Set up observability/monitoring pipelines with Prometheus, Grafana, and Datadog.
Collaborate on infrastructure-as-code deployments using Terraform, Docker, and Kubernetes in AWS or GCP.
Participate in design reviews; write unit and integration tests; maintain code quality through code reviews.

Requirements

3–6 years of backend software engineering experience focused on distributed systems.
Strong proficiency in at least one backend language: Go, Python, Java, or Rust.
Deep understanding of relational database design, query optimization, and caching at scale.
Experience deploying and maintaining containerized microservices in the cloud (AWS/GCP/Azure).
Solid grasp of software design patterns, system architecture, API security best practices, and CI/CD.

Nice to Have

Experience with GraphQL federated graphs and/or gRPC.
Experience managing infrastructure with Kubernetes.

About Scale.jobs

Scale.jobs is a technology-focused hiring platform/company that connects candidates with opportunities. The role described centers on building high-performance backend systems for user-facing products, emphasizing scalable microservices, robust APIs, and production observability.