501 to 525 of 821 Observability Jobs in London

Azure Container Instances), and ACA (Azure Container Apps). Create and maintain comprehensive documentation on newly implemented features suitable for an enterprise environment. Design and implement robust monitoring and observability tools to track container performance and health. Automate testing processes by utilizing public cloud elasticity and ephemeral resources, ensuring streamlined operations and reduced manual efforts. Contribute to the software development More ❯

Azure Container Instances), and ACA (Azure Container Apps). Create and maintain comprehensive documentation on newly implemented features suitable for an enterprise environment. Design and implement robust monitoring and observability tools to track container performance and health. Automate testing processes by utilizing public cloud elasticity and ephemeral resources, ensuring streamlined operations and reduced manual efforts. Contribute to the software development More ❯

how to manage workloads at scale. Proficient with Infrastructure as Code tools and practices. Comfortable writing automation, configuration, and tooling to simplify operations and reduce manual effort. Knowledgeable about observability tools & best practices. Ability to collaborate across teams with excellent written and verbal communication skills. Nice to Have Qualifications: Experience with multi-cloud and/or hybrid deployments. Knowledge of More ❯

how to manage workloads at scale. Proficient with Infrastructure as Code tools and practices. Comfortable writing automation, configuration, and tooling to simplify operations and reduce manual effort. Knowledgeable about observability tools & best practices. Ability to collaborate across teams with excellent written and verbal communication skills. Nice to Have Qualifications: Experience with multi-cloud and/or hybrid deployments. Knowledge of More ❯

how to manage workloads at scale. Proficient with Infrastructure as Code tools and practices. Comfortable writing automation, configuration, and tooling to simplify operations and reduce manual effort. Knowledgeable about observability tools & best practices. Ability to collaborate across teams with excellent written and verbal communication skills. Nice to Have Qualifications: Experience with multi-cloud and/or hybrid deployments. Knowledge of More ❯

how to manage workloads at scale. Proficient with Infrastructure as Code tools and practices. Comfortable writing automation, configuration, and tooling to simplify operations and reduce manual effort. Knowledgeable about observability tools & best practices. Ability to collaborate across teams with excellent written and verbal communication skills. Nice to Have Qualifications: Experience with multi-cloud and/or hybrid deployments. Knowledge of More ❯

Design schemas and pipelines across Postgres and MongoDB Run CI and CD, improve build times, handle deployments and rollbacks Collaborate with data and ML to productionise models Instrument for observability and own incidents end to end What you will bring 1+ year engineering with strong Python in production Hands on Elasticsearch experience Solid SQL plus practical MongoDB CI and CD More ❯

ETL/ELT workflows, and reporting environments Ensure system stability, uptime, and SLA compliance through proactive monitoring Lead incident management, root cause analysis, and production deployments Implement automation and observability to improve performance and reduce manual effort Manage L2 support issues and coordinate fixes with Engineering and DevOps teams Drive improvements in data quality, governance, and workflow efficiency Collaborate with More ❯

Design schemas and pipelines across Postgres and MongoDB Run CI and CD, improve build times, handle deployments and rollbacks Collaborate with data and ML to productionise models Instrument for observability and own incidents end to end What you will bring 1+ year engineering with strong Python in production Hands on Elasticsearch experience Solid SQL plus practical MongoDB CI and CD More ❯

ETL/ELT workflows, and reporting environments Ensure system stability, uptime, and SLA compliance through proactive monitoring Lead incident management, root cause analysis, and production deployments Implement automation and observability to improve performance and reduce manual effort Manage L2 support issues and coordinate fixes with Engineering and DevOps teams Drive improvements in data quality, governance, and workflow efficiency Collaborate with More ❯

Design schemas and pipelines across Postgres and MongoDB Run CI and CD, improve build times, handle deployments and rollbacks Collaborate with data and ML to productionise models Instrument for observability and own incidents end to end What you will bring 1+ year engineering with strong Python in production Hands on Elasticsearch experience Solid SQL plus practical MongoDB CI and CD More ❯

ideally Python , Rust is a bonus Experience with distributed systems, REST APIs, and microservices Knowledge of Kafka (or similar), PostgreSQL , and time-series data Familiar with Docker, monitoring, and observability tools Experience in a startup or scale-up , collaborating closely with engineers in a fast-moving environment Bonus points if you've worked in energy markets, trading systems, industrial control More ❯

ideally Python , Rust is a bonus Experience with distributed systems, REST APIs, and microservices Knowledge of Kafka (or similar), PostgreSQL , and time-series data Familiar with Docker, monitoring, and observability tools ✅ Experience in a startup or scale-up , collaborating closely with engineers in a fast-moving environment Bonus points if you’ve worked in energy markets, trading systems, industrial control More ❯

and maintain systems for real-time market data, trade execution, and reconciliation. Optimise performance and scalability across key trading infrastructure components. Partner with cross-functional teams to improve tooling, observability, and automation. Deliver robust, production-ready solutions in a fast-paced environment. Requirements Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high-performance More ❯

and maintain systems for real-time market data, trade execution, and reconciliation. Optimise performance and scalability across key trading infrastructure components. Partner with cross-functional teams to improve tooling, observability, and automation. Deliver robust, production-ready solutions in a fast-paced environment. Requirements Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high-performance More ❯

and maintain systems for real-time market data, trade execution, and reconciliation. Optimise performance and scalability across key trading infrastructure components. Partner with cross-functional teams to improve tooling, observability, and automation. Deliver robust, production-ready solutions in a fast-paced environment. Requirements Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high-performance More ❯

and maintain systems for real-time market data, trade execution, and reconciliation. Optimise performance and scalability across key trading infrastructure components. Partner with cross-functional teams to improve tooling, observability, and automation. Deliver robust, production-ready solutions in a fast-paced environment. Requirements Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high-performance More ❯

BGP, OSPF, EVPN, VLAN/VxLAN, MLAG, STP. Hands-on with Arista/Cisco; strong troubleshooting tools (Wireshark, netcat, etc.). Familiar with network security, automation (Python, Ansible), and observability stacks (Prometheus, Grafana). Excellent communicator with experience delivering in high-stakes, collaborative settings. STEM degree and CCNP/CCIE preferred. Why Join? Join a trusted global institution where networking More ❯

Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution blueprints. Present architectural decisions and trade-offs to technical and non-technical stakeholders. Support More ❯

Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution blueprints. Present architectural decisions and trade-offs to technical and non-technical stakeholders. Support More ❯

cross-functional teams (Data Science, ML Engineering, Software Engineering, Managers). Defining the ML/AI roadmap and aligning it to business outcomes. Driving best practice in MLOps, deployment, observability, and automation. Working with cutting-edge approaches: deep learning frameworks, foundation models, knowledge graphs, etc. Being the voice of ML/AI leadership, setting standards, mentoring, and building a culture More ❯

Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution blueprints. Present architectural decisions and trade-offs to technical and non-technical stakeholders. Support More ❯

Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution blueprints. Present architectural decisions and trade-offs to technical and non-technical stakeholders. Support More ❯

enhance CI/CD pipelines using Git and Python. Implement Infrastructure as Code practices using Terraform. Manage containerised environments with Docker or Kubernetes. Collaborate with dev teams to improve observability, deployment processes, and platform reliability. Build observability and monitoring solutions using Grafana, integrating key metrics to support proactive platform operations. Create and enforce internal standards for infrastructure, CI/CD More ❯

enhance CI/CD pipelines using Git and Python. Implement Infrastructure as Code practices using Terraform. Manage containerised environments with Docker or Kubernetes. Collaborate with dev teams to improve observability, deployment processes, and platform reliability. Build observability and monitoring solutions using Grafana, integrating key metrics to support proactive platform operations. Create and enforce internal standards for infrastructure, CI/CD More ❯