1 to 25 of 27 High Availability Jobs in the City of London

skilled network engineers, define the enterprise networking roadmap, and collaborate with cross-functional teams — including Security, Infrastructure, and IT Operations — to deliver a high-performance, high-availability network platform that underpins mission-critical business and customer operations. Key Responsibilities Strategic Leadership Define and execute the strategic vision … continuous threat detection . Oversee audit readiness and maintain comprehensive network documentation and asset inventories. People & Stakeholder Leadership Build, develop, and mentor a high-performing network engineering team , fostering a culture of excellence, accountability, and continuous learning. Set clear objectives, manage performance, and align team skills with evolving business ...

Schema design and directory structuring Secure authentication integration (LDAPS, certificates, RBAC mapping) Kubernetes authentication via LDAP Identity federation patterns across CI/CD tooling High availability and replication strategies Troubleshooting directory performance and sync issues Jenkins (CI/CD Architecture & Engineering) Pipeline-as-code (Groovy) Shared libraries ...

Zero Trust model through segmentation and ZTNA policies. Performance & Low-Latency Optimisation Engineer networks for speed, efficiency, and resilience—particularly in support of high-performance financial systems. Monitor and analyse performance, recommend improvements, and ensure systems meet demanding SLAs. Support colocation near exchanges and manage high-throughput … Collaboration & Project Leadership Act as a key stakeholder in cross-functional teams, working with Infrastructure, Security, DevOps, and Application teams to deliver secure and high-performance systems. Document design standards and mentor others in networking best practices. Lead major infrastructure initiatives from design through to implementation. Support & Innovation Continuously ...

pipelines and cloud infrastructure on Google Cloud Platform (GCP). Collaborate with development and operations teams to automate deployments, monitor system performance, and ensure high availability and scalability of applications. Build secure, reliable, and cost-optimized cloud environments. Troubleshoot issues across environments and maintain compliance with security best … seeker, beware of fraudulent recruitment activity and protect your interests! You can write to UKI.recruitment@tcs.com to report any fraudulent activity. Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received ...

Cloud Platform Engineering Lead A high performing London Market Syndicate is looking for a Cloud Platform Engineering Lead to join them on a permanent basis. This is an excellent business to join as they are consistent ranked in the top quartile for performance across the market. The Role This … security controls, policies, and technical guardrails in line with standards such as NIST and ISO. Lead cloud cost management and FinOps practices, ensuring performance, availability, and spend are optimised and transparent. Act as the senior technical escalation point for cloud security incidents and major outages, ensuring high availability ...

Role Overview Quantum is building a high-performance trading platform operating in a security-critical environment. We are seeking a hands-on Senior Cloud Engineer to design, build, secure and operate our Microsoft Azure cloud platform. This is a 100% cloud engineering role focused on platform infrastructure, security … trading and regulated environment Reliability, DR & Resilience ◦ Design, implement and test disaster recovery and business continuity approaches ◦ Monitor platform health, performance and availability ◦ Identify and remediate single points of failure ◦ Maintain clear and tested recovery documentation Platform Ownership & Documentation ◦ Act as the technical owner of the cloud platform ◦ Proactively ...

Cloud Platform Lead | London | Hybrid (3 days in the office) |Permanent Build the cloud platform that others depend on. We’re partnered with a high-performing, London-based Insurer operating at scale in a highly regulated environment. The organisation is investing heavily in its cloud capability … making You’ll act as the technical authority for cloud, owning standards, guardrails and outcomes, while steering a trusted cloud services partner to deliver high-quality BAU and project work. What you’ll be doing Owning the cloud platform architecture (Azure-first, AWS exposure) Designing and evolving shared platform ...

Server WinForms desktop applications Azure Kafka Automated testing frameworks Legacy platform modernisation Nice to Haves Futures, options, or crypto markets Python DevOps tooling High-availability systems Large-scale refactoring work Containerisation (Docker) Why Join/Projects This is one of those environments where the gap between engineering … outcome of what you build, and you’ll have a say in how things are done. Access to leadership is direct, and expectations are high, both technically and academically. Employee Benefits Bonus up to 100% of base salary Highly collaborative, front-office environment Direct access to traders and senior ...

Senior Cloud Infrastructure Engineer Key Responsibilities: Ensure the firms technology environment is continually evolving and is configured in a way that provides a stable, high performing and secure environment Design, implement, and continually manage Azure cloud infrastructure to ensure scalability, security, and high availability Administer and optimize ...

based frontend systems , primarily utilizing React to craft intuitive and highly functional user interfaces. Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows. Work proficiently across the entire stack to develop and integrate new features related to model versioning ...

managed services, automated and auditable deployment pipelines, secrets management Nice to Have o Financial services, trading, or capital markets - operational security in a regulated, high-availability, zero-downtime-tolerance environment o Zero-trust architecture: BeyondCorp, Zscaler, or equivalent; conditional access policy design and implementation o DDoS mitigation ...

managed services, automated and auditable deployment pipelines, secrets management Nice to Have o Financial services, trading, or capital markets - operational security in a regulated, high-availability, zero-downtime-tolerance environment o Zero-trust architecture: BeyondCorp, Zscaler, or equivalent; conditional access policy design and implementation o DDoS mitigation ...

most technically advanced teams in the country Heavy investment in cutting-edge and next-gen tech Flat structure, low ego, high talent Startup-style ownership backed by major resources Real autonomy to build, improve and automate The Role You’ll sit within an elite Linux-focused infrastructure team responsible … designing and running large-scale, high-availability systems. This is hands-on engineering. You’ll be: Building and evolving resilient, multi-petabyte infrastructure Writing Python to automate anything manual or repetitive Working closely with engineers across the business to improve reliability and performance Enhancing observability, monitoring and system ...

Tech Architect – Network will be responsible for delivering advanced network architecture and operational support for the client’s enterprise network environment. This role ensures high availability, security, and performance across WAN, LAN, and wireless infrastructure, while driving innovation and compliance with the client’s managed network services framework. … Responsibilities Network Architecture & Design Develop and maintain high-level and low-level designs for WAN, LAN, and Wi-Fi networks. Ensure alignment with the client’s target architecture and security standards. Act as the first point of technical escalation for all network-related issues. Own Priority 1 (P1) incidents ...

Code in Azure Experience with Azure DevOps or GitHub Actions pipelines Monitoring experience with Prometheus or Grafana Azure IaaS, automation (Ansible and PowerShell), and high availability experience AZ-104 or similar certifications This Platform Engineer (Azure, Terraform, DevOps) role focuses on moving the platform to 90% Infrastructure ...

will work on the core infrastructure that connects internal trading systems directly to global exchanges and liquidity venues. You will design, build, and enhance high-performance market access gateways and market data systems where precision, speed, and reliability are critical. You will take ownership of end-to-end exchange … connectivity, including onboarding new brokers and venues, implementing protocol changes, and ensuring production stability of mission-critical trading flows. The work spans high-performance systems engineering, real-time optimisation, and hands-on production support in a fast-moving environment. This is a highly collaborative role working closely with traders ...

feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy … . . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications ...

feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy … . . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications ...

resiliency, and low-latency trading requirements . This leader operates at the intersection of engineering depth, governance rigor, and executive accountability , and builds a high-performing cloud engineering organization capable of operating in a regulated Capital Markets environment . Key Accountabilities 1. Cloud Platform Ownership & Architecture Own the target … risk findings (CGC, GRCE, SRM, MCP or equivalent) Strong background in platform engineering, IaC, policy-as-code, and automation Experience supporting low-latency, high-availability, mission-critical workloads Ability to operate credibly with executives, auditors, and engineering teams alike Experience in Capital Markets ...

feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy … . . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications ...

feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy … . . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications ...

feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy … . . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications ...

feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy … . . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications ...

feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy … . . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications ...

Developer to work out of their plush offices in the heart of London's West End. You will be working on the development of high-availability and highly-transactional .NET/C# applications which will be critical to the launch of their new online music shopping channel. ...