22 of 22 High Availability Jobs in the City of London

fast-growing London-based FinTech firm building secure, scalable, and high-performance financial platforms that power digital payments, lending, and real-time financial services. As they scale the platform and expand their product offerings, they are looking for a Senior DevOps Engineer to play a key role in shaping … secure, resilient, and compliant with financial regulations. This is a hands-on technical role with strategic influence — ideal for someone who thrives in high-availability, high-security environments and enjoys mentoring others. Key Responsibilities Design, build, and maintain scalable cloud infrastructure (AWS) Lead Infrastructure as Code initiatives ...

across Azure and Microsoft SQL platforms for a growing SaaS client of ours. The position supports the wider DevOps objectives by ensuring the security, availability, integrity, and end-to-end support of database services. Working as part of a DevOps team, the role is responsible for both on-premise … based database systems, including both vendor-supplied and internally developed solutions Design and implement tactical and strategic database solutions with a focus on scalability, availability, performance, and resilience Proactively monitor the SQL Server estate to ensure high availability and optimal performance Provide operational support to internal stakeholders ...

functions can fulfil the collective mission of promoting monetary and financial stability for the good of the UK. We achieve this by delivering resilient, high performing, secure technology solutions and information services across the organisation. Technology operates on a clear and efficient model: Analyse Deliver Service Secure, ensuring transparency … Server databases across the Banks environment. Configure, optimise, and support SQL Server instances and associated processes. Monitor overall system health, performance, and capacity. Ensure high levels of availability, resilience, performance, and security. Troubleshoot and resolve incidents in real time. Provide recommendations for improvements and corrective actions. Operational Excellence ...

Have Experience with Python scripting for automation and reliability tooling. Knowledge of Java and/or React application deployments in production. Prior experience in high-volume, high-availability environments. ...

core Production Engineering team, who are accountable for the reliability, operability and performance of the firm’s trading-critical systems, in an environment where availability, correctness and latency directly impact outcomes. The successful hire will own the reliability of business-critical systems, from observability design through to incident resolution … systemic improvement; lead high-severity incident management; and reduce toil with software engineering, primarily in Python but also with Golang, TypeScript, SQL and/or PowerShell. The role requires someone who can evidence outstanding problem-solving and the ability to solve problems on their own initiative. Requirements Debugging distributed ...

with cutting-edge technologies, including GCP, Kubernetes, Terraform/OpenTofu, and modern CI/CD pipelines, while helping define best practices for a regulated, high-impact platform. What You’ll Do: Infrastructure & Automation: Build and maintain cloud infrastructure, CI/CD pipelines, and automated deployment workflows. Security & Compliance: Implement … securely. Incident Response: Contribute to operational and security incident handling to minimize downtime and risk. What You Bring: Strong experience designing, managing, and securing high-availability cloud infrastructure (GCP preferred). Expertise with Kubernetes (GKE), container runtime security, and cluster hardening. Solid skills in Infrastructure as Code (Terraform ...

roadmaps. Regularly undertake complex and/or critical consultative engagements, to a senior management level. Confidently scope complex and critical projects as well as (high level and detailed) deliverables. Able to work in a fast-paced project environment and tight delivery timelines. In addition, design, build, and operate platform … Code in an enterprise environment. Architectural design and deployment skills for enterprise Cloud technologies (public, private and hybrid) into complex environments. Excellent knowledge of high availability and backup/recovery solutions. Excellent technical design, performance improvement and service alignment skills. Experience around business critical and business continuity solutions. ...

Role Overview Quantum is building a high-performance trading platform operating in a security-critical environment. We are seeking a hands-on Cloud Engineer to design, build, secure, and operate our Microsoft Azure cloud platform. This is a 100% cloud engineering role. Corporate IT and end-user support … Azure. ·Strong experience with Infrastructure as Code (Terraform). ·Deep understanding of Azure networking, compute, storage, and identity. ·Experience operating production cloud environments with high availability and security requirements. ·Strong security fundamentals, including access control, encryption, logging, and auditing. ·Comfortable working autonomously in a small, fast-moving team ...

trusted as a senior technical authority, taking ownership of routing architecture, contributing to strategic decisions, and ensuring the network can support real-time, high-throughput workloads. Key Responsibilities: • Design and operate resilient network architectures across LAN, WAN, data centre, and cloud environments • Own and optimise routing and traffic flows … improve network resilience, throughput, and operational efficiency What We’re Looking For: You will be an experienced network engineer who has worked in demanding, high-availability environments where routing stability and performance are critical. Strong practical experience with BGP, OSPF, and multicast networking is essential, alongside confidence working ...

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 ...

practices, and system governance for RPG and IBM i applications. Review and approve technical designs, RPG code, and database changes. Ensure solutions meet performance, availability, security, and audit requirements. Lead root cause analysis for complex production issues and ensure long-term fixes. Development & Delivery Act as a hands … Flex cube, Temenos, etc.). Exposure to core banking modernization or system integration initiatives. Knowledge of API enablement, message queues, or middleware. Experience with high availability, disaster recovery, and failover setups. Familiarity with banking regulations, audits, and compliance controls. ...

networks in a large user environment - Strong Cisco background (ideally CCNP/CCIE) - Knowledge of Layer 2 LAN technologies (VLANs, VTP, STP) - Understanding of high availability technology (VPC, SVL, HSRP) - Routing protocols - SDWAN technologies - CIsco Wireless technology ...

permanent basis. Applications Operations Analyst Summary: The Applications Operations Analyst focuses on the operational support and continuous improvement of enterprise application environments, ensuring high availability, security, and performance. The ideal candidate will be responsible for day-to-day maintenance, patching, monitoring, and user support across critical systems, while ...

looking for an experienced Backend Engineer to help build, scale, and optimize next‐generation financial services infrastructure. You will work on high‐availability, low‐latency systems, powering consumer and business APIs used globally. This role is ideal for someone who thrives in fast-paced fintech environments … Must‐Have Technical Skills Expert-level Node.js development experience (TypeScript/Javascript). Professional Golang development experience. Strong GraphQL experience, including schemas, resolvers, and high-volume queries. Deep knowledge of PostgreSQL, including performance tuning and relational design. Hands-on experience with Redis for caching, pub/sub, or distributed ...

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 ...

stakeholders across IT, customer operations, and business teams to deliver requirements. Collaborate with vendors and third-party providers to implement and integrate solutions. Ensure high availability, resilience, and performance of telephony systems. Produce technical documentation, configuration guides, and implementation artefacts. Support testing, rollout, and post-migration stabilisation activities ...

design and end-to-end architecture of a next-generation AI platform leveraging AWS and Databricks. In this role, you will define both high-level and low-level designs, shape scalable and secure data and AI/ML platform capabilities, and drive seamless integration with core enterprise systems. … Platform Architect to lead the design and architecture of our next-generation AI platform built on AWS and Databricks. This role involves defining the High-Level Design (HLD) and Low-Level Design (LLD) for the end-to-end platform, driving integration with enterprise systems such as Radar ...