processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation Confidence developing end-to-end solutions Experience with infrastructure as code e.g. Terraform, Ansible If you More ❯
solutions. Experience with multiprocessing, async I/O, and performance profiling. Unit testing, performance testing, and BDD. Understanding of OAuth 2.0 and secure authorization. Proficiency with observability tools (Grafana, Prometheus, etc.). DevOps and CI/CD (Jenkins, GitOps). Strong communication and collaboration skills. Understanding of deep learning and ML frameworks (TensorFlow, PyTorch). Secure coding practices and cloud More ❯
with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We More ❯
for performance and reliability, and who enjoy taking projects from conception to production, whilst considering scale, resiliency and FinOps. Our multi-region tech stack currently includes OKD, ArgoCD, Opensearch, Prometheus, RabbitMQ, Postgres, Couchbase and AWS. We are currently migrating from Jenkins to GitHub Actions and have more planned! As we deploy production services, we operate on-call rotations to ensure More ❯
Google Cloud Platform (GCP) , AWS , and Azure Strong understanding of networking technologies , such as LAN, WAN, firewalls , and related infrastructure Proficient with observability and monitoring tools , e.g Grafana, SolarWinds, Prometheus, AWS CloudWatch, Splunk Familiarity with DevOps practices , including CI/CD pipelines , is beneficial If you would be interested in having a further chat then please send your CV to More ❯
Google Cloud Platform (GCP) , AWS , and Azure Strong understanding of networking technologies , such as LAN, WAN, firewalls , and related infrastructure Proficient with observability and monitoring tools , e.g Grafana, SolarWinds, Prometheus, AWS CloudWatch, Splunk Familiarity with DevOps practices , including CI/CD pipelines , is beneficial If you would be interested in having a further chat then please send your CV to More ❯
