Summary
Design and operate scalable backend services and APIs for cloud-native platforms, focusing on reliability, observability, distributed systems, and modern software delivery practices.
Highlights
Build highly available cloud-native backend services, lead architecture decisions, mentor engineers, and work with modern distributed systems technologies.
Description
Required Qualifications
Strong professional experience as a senior software engineer building and operating backend services or APIs in production environments.Hands-on experience designing, developing, and delivering APIs using Java, Go, or both.Strong understanding of cloud-native application architecture, including containerized services, service-to-service communication, configuration management, observability, and resilience patterns.Experience delivering production services deployed on Kubernetes.Experience building highly available, scalable, and reliable distributed systems.Strong knowledge of API design principles, including REST, gRPC, versioning, authentication, authorization, error handling, and backward compatibility.Experience with microservices architectures and the operational challenges of running services at scale.Solid understanding of concurrency, performance optimization, caching, rate limiting, retries, timeouts, and fault tolerance.Experience working with public cloud platforms such as AWS, GCP, or Azure.Experience with CI/CD pipelines and modern software delivery practices.Strong understanding of Linux, containers, networking fundamentals, and cloud infrastructure concepts.Experience with production monitoring, logging, tracing, alerting, and incident response.Ability to lead technical design discussions, make pragmatic architecture decisions, and mentor other engineers.Strong ownership mindset with a focus on reliability, maintainability, and operational excellence.Nice to Have
Experience building large-scale platform services, developer platforms, infrastructure platforms, or internal service platforms.Experience operating mission-critical services with strict availability, latency, or throughput requirements.Experience with Kubernetes-native patterns such as Helm, Operators, Custom Resource Definitions, or GitOps workflows.Experience with distributed systems, stateful services, or high-volume transactional platforms.Experience with cloud-native observability tools such as Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch, or similar.Experience implementing security best practices for APIs and cloud-native services, including OAuth2, mTLS, secrets management patterns.Experience with infrastructure as code tools such as Terraform, CloudFormation etc.Experience improving platform reliability through SLOs, error budgets, capacity planning, load testing, chaos testing, or disaster recovery planning.Experience contributing to architecture standards, engineering best practices, reusable service frameworks, or shared platform components.Experience with performance profiling and optimization for Java or Go services.
