Role Title: Elastic Engineer Location: London | Hybrid - 60% Office … Remote Start Date: ASAP Duration: 31/03/2026 Rate: £430p/d via Umbrella Key Responsibilities: * Expert-level knowledge of the ElasticStack (Elasticsearch, Logstash, Kibana, Beats), with proven experience in architecting, deploying, and managing ELK infrastructure across distributed, high-performance environments. * Strong understanding of index lifecycle management (ILM), shard optimization, and cluster health monitoring … Experience integrating ELK with packet capture/analysis tools to enhance observability of real-time systems. * Hands-on expertise in data pipeline creation, ingestion strategies, and performance tuning of Logstash and Beats for scalable telemetry. * Knowledge of Corvil and/or Pico tools is highly beneficial but not essential, particularly for ingesting network telemetry into Elasticsearch. * Scripting proficiency in Python More ❯
Job Title: AWS Engineer (OpenSearch) Work Location: London, UK (Hybrid) Job Description: We are looking for an experienced AWS Observability Engineer specializing in the Elasticsearch (ELS) Stack to design, implement, and optimize observability solutions across our cloud infrastructure. The ideal candidate will have hands-on experience in building OpenSearch infrastructure . Expertise in AWS services, log management, metric … availability, and security. Seeking experience in Deploying Logging/Opensearch infrastructure, Configuring Platform and applications to send logs to Open Search. Expertise in the ELS Stack (Elasticsearch, Logstash, Kibana). Designing centralized logging, building Kibana dashboards, optimizing observability with AWS services (CloudWatch, CloudTrail, S3), and automating workflows using Python or Terraform. Configure platforms/applications to forward logs More ❯
Proven expertise and experience with database technologies including NoSQL databases like MongoDB, RDBMS such as Postgres and MySQL Exposure to Docker, Kubernetes, AWS, Helm, Terraform, Vault, Grafana, ELKStack, New Relic Relevant experience in the maintenance of data APIs and data lake architectures, including experience with Apache Iceberg, Trino/Presto, Clickhouse, Snowflake, BigQuery. Master's degree in More ❯
is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3) Observability Technologies (OpenTelemetry, ElasticStack/ELK, Grafana) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. More ❯
and maintainable IaC, enabling safe and efficient infrastructure builds, changes, and versioning. Containerization and Orchestration: Deploy, manage, and provide ongoing support for containerized applications using Kubernetes, including Amazon EKS (Elastic Kubernetes Service) and Azure Kubernetes Service (AKS), ensuring their reliability, availability, and performance. Monitoring and Alerting: Monitor application performance and system health through observability tools (e.g., Prometheus, Grafana, ELK … stack), proactively identifying and resolving issues to ensure high availability and rapid incident response. Security and IAM: Implement security best practices, managing Identity and Access Management (IAM) policies across cloud environments. Utilize technologies such as OpenID Connect (OIDC), OAuth2, and SAML Single Sign-On (SSO) to ensure secure authentication and authorization across services. Database Technologies: Manage and optimize … particularly Kubernetes. Familiarity with version control systems (e.g., Git) and CI/CD pipelines for efficient code deployment. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELKstack) to ensure system observability. Strong experience with SQL databases and AWS DynamoDB, focusing on performance tuning and optimization. Proven ability to design and manage RESTful APIs, ensuring their reliability More ❯
