1 to 25 of 40 Elastic Stack Jobs in Central London

and scalable integrations. Drive continuous improvement, automation, and cost-optimization across engineering platforms. Provide advanced troubleshooting and 3rd-line production support using tools like Prometheus, Grafana, and ELK Stack . Maintain detailed technical documentation, system diagrams, and operational runbooks. Ensure compliance with data security and regulatory standards (e.g., GDPR, ISO 27001). Contribute to disaster recovery and business More ❯

and scalable integrations. Drive continuous improvement, automation, and cost-optimization across engineering platforms. Provide advanced troubleshooting and 3rd-line production support using tools like Prometheus, Grafana, and ELK Stack . Maintain detailed technical documentation, system diagrams, and operational runbooks. Ensure compliance with data security and regulatory standards (e.g., GDPR, ISO 27001). Contribute to disaster recovery and business More ❯

networking (DNS, TCP/IP, VPN, firewalls). Knowledge of containerization technologies (Docker, ECS, EKS, or Kubernetes). Experience with monitoring/logging tools such as CloudWatch, ELK Stack, Prometheus/Grafana. Excellent problem-solving skills and the ability to work independently. Preferred Qualifications AWS Certified SysOps Administrator/DevOps Engineer – Professional. Experience with hybrid cloud/on More ❯

About the Role: We are seeking a highly experienced and versatile Senior Software Engineer with deep expertise across quantitative development, infrastructure engineering, and full-stack development, to join and lead a high-performance team. The ideal candidate thrives at the intersection of finance and technology, has led engineering teams, and has built and maintained robust trading systems and … and cloud-native deployment strategies. Hands-on with AWS, GCP, and Azure for compute, networking, and storage configurations. Familiarity with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack). Trading Systems & Finance: Solid understanding of trading infrastructure, latency optimization, execution systems, and market data feeds. Experience working in or with quantitative research, HFT, or hedge fund teams More ❯

About the Role: We are seeking a highly experienced and versatile Senior Software Engineer with deep expertise across quantitative development, infrastructure engineering, and full-stack development, to join and lead a high-performance team. The ideal candidate thrives at the intersection of finance and technology, has led engineering teams, and has built and maintained robust trading systems and … and cloud-native deployment strategies. Hands-on with AWS, GCP, and Azure for compute, networking, and storage configurations. Familiarity with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack). Trading Systems & Finance: Solid understanding of trading infrastructure, latency optimization, execution systems, and market data feeds. Experience working in or with quantitative research, HFT, or hedge fund teams More ❯

infrastructure best practices, and continuous learning Good communication skills and a collaborative mindset Desirable Skills Experience with Terraform, Ansible, or Helm Familiarity with observability tools such as ELK Stack, CloudWatch, or New Relic Understanding of security considerations in cloud and CI/CD environments More ❯

infrastructure best practices, and continuous learning Good communication skills and a collaborative mindset Desirable Skills Experience with Terraform, Ansible, or Helm Familiarity with observability tools such as ELK Stack, CloudWatch, or New Relic Understanding of security considerations in cloud and CI/CD environments More ❯

code. Solid understanding of CI/CD pipelines and tools (e.g., Github CI, GitLab CI, CircleCI, Jenkins). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Strong scripting skills (e.g., Bash, Python) for automation tasks. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Experience Experience with other cloud More ❯

code. Solid understanding of CI/CD pipelines and tools (e.g., Github CI, GitLab CI, CircleCI, Jenkins). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Strong scripting skills (e.g., Bash, Python) for automation tasks. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Experience Experience with other cloud More ❯

Wallet in Telegram is your gateway to the world of digital currencies, specially tailored for individuals in emerging markets. We understand the complexities and intimidation often associated with existing crypto solutions, which is why we've designed the Wallet to More ❯

Wallet in Telegram is your gateway to the world of digital currencies, specially tailored for individuals in emerging markets. We understand the complexities and intimidation often associated with existing crypto solutions, which is why we've designed the Wallet to More ❯

We're looking for an experienced Linux Engineer to help manage and optimise global server environments supporting high-performance trading and machine learning workloads. This role is about more than just administration - you'll tackle performance tuning, automation, and hands More ❯

We're looking for an experienced Linux Engineer to help manage and optimise global server environments supporting high-performance trading and machine learning workloads. This role is about more than just administration - you'll tackle performance tuning, automation, and hands More ❯

pipelines and container technologies like Docker and Kubernetes. Deep understanding of networking, distributed systems, and databases. Expertise in monitoring and observability tools such as DataDog, Prometheus, Grafana, ELK stack, or Splunk. Excellent communication skills and a meticulous approach to problem-solving. Desirable Experience: Familiarity with Azure. Experience working in the autonomous vehicle sector. Exposure to AI/ML More ❯

pipelines and container technologies like Docker and Kubernetes. Deep understanding of networking, distributed systems, and databases. Expertise in monitoring and observability tools such as DataDog, Prometheus, Grafana, ELK stack, or Splunk. Excellent communication skills and a meticulous approach to problem-solving. Desirable Experience: Familiarity with Azure. Experience working in the autonomous vehicle sector. Exposure to AI/ML More ❯

relevant tools. Security Best Practices: IAM, MFA, data encryption, firewall configurations. Programming/Scripting: Python, Terraform, or similar languages. Event-Driven Architectures: Kafka. Monitoring and Logging: Datadog, ELK Stack, Prometheus, etc. Experience in agile methodologies and DevOps practices. Location: Hybrid. Office located in London. (Hayes area). Office presence required: Yes. Frequency: 2-3 times a week at More ❯

MongoDB, PL/SQL,NOSQL API Development: RESTful APIs Version Control: Git CI/CD: TeamCity Desirable Skills: Docker and Containerization Monitoring and Logging (e.g., Prometheus, Grafana, ELK Stack) Cloud Platforms (AWS, Azure, Google Cloud) Security and Compliance API Documentation (e.g., Swagger, OpenAPI) Code Quality Tools (e.g., SonarQube) Agile Methodologies (Scrum or Kanban) Soft Skills: Team Collaboration : Ability More ❯

resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control … readiness for experimentation and deployment. Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting … . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred Qualifications: Working knowledge of data More ❯

resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control … readiness for experimentation and deployment. Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting … . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred Qualifications: Working knowledge of data More ❯

resilience, and observability of data pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control … readiness for experimentation and deployment. Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting … . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred Qualifications: Working knowledge of data More ❯

resilience, and observability of data pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control … readiness for experimentation and deployment. Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data flow diagrams , and operational procedures . Continuously evaluate and improve the data engineering stack by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting … . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred Qualifications: Working knowledge of data More ❯

Python Software Engineer, Python, AWS | Python, TDD & BDD, Monitoring | Household Name | £650 - 750pd Outside IR35 | 6-month contract | Fully Remote (UK) Opportunity: We're supporting a fast-moving client with national reach, that needs a Python Software Engineer Contractor with More ❯

Python Software Engineer, Python, AWS | Python, TDD & BDD, Monitoring | Household Name | £650 - 750pd Outside IR35 | 6-month contract | Fully Remote (UK) Opportunity: We're supporting a fast-moving client with national reach, that needs a Python Software Engineer Contractor with More ❯

Python Software Engineer, Python, AWS | Python, TDD & BDD, Monitoring | Household Name | £650 - 750pd Outside IR35 | 6-month contract | Fully Remote (UK) Opportunity: We're supporting a fast-moving client with national reach, that needs a Python Software Engineer Contractor with More ❯

Python Software Engineer, Python, AWS | Python, TDD & BDD, Monitoring | Household Name | £650 - 750pd Outside IR35 | 6-month contract | Fully Remote (UK) Opportunity: We're supporting a fast-moving client with national reach, that needs a Python Software Engineer Contractor with More ❯