CI, GitHub Actions, or Jenkins Proficiency with containerisation and orchestration tools (Docker, Kubernetes, etc.) Experience using Infrastructure as Code (Terraform or equivalent) Familiarity with monitoring and alerting tools (e.g., Grafana, CloudWatch, Dynatrace) Knowledge of configuration management (Puppet, Ansible, Chef, or Packer) Scripting ability (Bash/Shell or similar) Understanding of agile delivery and collaborative team environments Strong communication skills with More ❯
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, and More ❯
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 to More ❯
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 landscape operations or enterprise automation products AI/ML UI/UX feature integration experience is a strong plus Selected applicant will be subject to More ❯
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 small More ❯
with cloud-based platforms, APIs, and distributed systems Understanding of AI/ML concepts and tooling (model training, inference, data pipelines basics) Experience with monitoring/logging tools (e.g., Grafana, Kibana, Splunk) Excellent communication skills to interface with both customers and internal/vendor teams Good understanding of tools requirements for ML engineers and data scientists, and how to optimize More ❯
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, thread … 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 now More ❯
