maintain containerised applications on Kubernetes (EKS, AKS, Mainline). Implement CI/CD pipelines. Ensure applications have correct logging, metrics, tracing, and SLI/SLOs using tools such as Prometheus, Grafana, and Databricks. Refactor legacy applications for cloud-native readiness using modernisation patterns. Write clean, tested, and maintainable code following software engineering best practices. Collaborate with platform teams, SREs, QA More ❯
Nice to Have Experience in e-commerce , fintech, or other large-scale transactional systems. Exposure to event-driven architecture, streaming technologies, or data-intensive applications. Familiarity with observability tools (Prometheus, Grafana, OpenTelemetry). Whats on Offer Competitive day rate Opportunity to work on high-traffic, mission-critical systems at scale. Initial 6-month contract with strong potential for extension. How More ❯
patterns Strong background in component-driven development, state management (e.g., Redux, Zustand, React Query), and design systems Desired: Familiarity with back-end services built on Kubernetes-native platforms (ArgoCD, Prometheus, Istio, etc.) Prior work with CI/CD tools (GitHub Actions, Azure DevOps) in Kubernetes-based deployment pipelines Experience with UI telemetry and observability (Grafana, OpenTelemetry, etc.) Familiarity with SAP More ❯
maintaining CI/CD pipelines Hands-on experience with infrastructure-as-code (e.g. Terraform) Deep understanding of security best practices in cloud and application delivery Exposure to observability tooling (Prometheus, Grafana, structured logging, etc.) Confident debugging and resolving issues in complex distributed systems Background in B2B SaaS web applications, with familiarity in Node a plus Able to operate autonomously within More ❯
frameworks using Locust (Python) or JMeter, with data parameterization and correlation. Manage distributed load generation (containers, cloud workers) to simulate millions of concurrent users. Integrate performance metrics from CloudWatch, Prometheus, Grafana, and OpenTelemetry to analyze system bottlenecks. Develop SLA/SLO dashboards and integrate performance gates into CI/CD pipelines. Collaborate with DevOps and developers to tune JVM, Akka … Load Tools: Locust (Python), JMeter; k6 or Gatling (nice to have). Languages: Python, Bash, Java (Maven/Gradle, JVM tuning basics). Infrastructure: Docker, Kubernetes, Terraform. Observability: CloudWatch, Prometheus, Grafana, OpenTelemetry. Architecture: Akka-based asynchronous Java microservices. If youre passionate about performance engineering and love optimizing systems that operate at global scale, wed love to hear from you. Apply More ❯
