Java Engineer

• 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.