1 to 25 of 430 Deployment Automation Jobs in London

release management across a complex enterprise Salesforce environment. This role requires strong hands-on expertise in Copado, Salesforce CI/CD, release management, deployment automation, environment management and Git-based source control , combined with the ability to establish robust DevOps governance and delivery standards. You will work closely … optimisation of Salesforce CI/CD pipelines using Copado, Azure DevOps or equivalent Salesforce DevOps tooling . Automate code promotion, testing, quality gates and deployment across Development, SIT, UAT, Pre-Production and Production environments. Define and maintain Salesforce environment strategies , including Sandboxes, Scratch Orgs, environment refreshes and deployment ...

partnering with a global asset management organisation to modernise and standardise build and deployment pipelines across a large application estate. The organisation is looking for Senior DevOps Engineers to join a high-performing engineering squad focused on improving CI/CD, automation, security and deployment practices across … business. The Engagement The team is undertaking a major initiative to standardise and modernise build and deployment pipelines across a diverse application estate. The environment consists primarily of C#/.NET and Python services , with different teams having historically adopted their own build conventions, deployment mechanisms and tooling. ...

Technical Lead - Cloud Infrastructure & AI Enablement is a senior technical and people leader responsible for defining and evolving the cloud platforms, developer platforms, engineering automation capabilities and AI enablement services that underpin software delivery across the organisation.The role leads the teams responsible for cloud infrastructure, platform engineering, developer experience … delivery automation and AI enablement capabilities, ensuring engineers can safely and efficiently deliver software using modern cloud-native and AI-native engineering practices. Operating across Engineering, Architecture, Security, Operations and Product teams, the Platform Technical Lead establishes the technical direction, governance, standards and operating model for platform engineering ...

Engineer to build and operate the platform capabilities that take machine-learning models from experimentation into reliable production services You’ll own the automation, deployment, observability and operational controls around the ML lifecycle, working closely with research engineers, software engineers, platform teams and product teams This … packaging and release through to serving, monitoring, retraining and incident response ML lifecycle and platform engineering Build repeatable workflows for model training, validation, promotion, deployment and retraining Productionise models through packaging, versioning, model registry integration, deployment automation and safe rollback Design CI/CD pipelines ...

Provide proven technical leadership for a hands-on SaaS engineering team, setting clear standards, coaching engineers and creating an operating culture focused on ownership, automation, reliability and continuous improvement. Remain highly hands-on, working directly with engineers on production issues, Kubernetes troubleshooting, incident response, deployment automation, observability … Drive the evolution of SaaS engineering towards a more automated model, reducing manual intervention, operational toil and human hand-offs through better tooling, workflow automation and self-healing capabilities. Explore and adopt appropriate Agentic AI and intelligent automation capabilities to improve operational decision support, incident triage, runbook execution ...

Native DevOps/Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands‐on experience delivering AI‐enabled platforms, automation, and engineering solutions. You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud‐native solutions using AI‐first engineering … practices. Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI‐powered and traditional cloud‐native applications. We are building an AI‐native engineering capability where ...

transfer and establishing independent technical ownership Mentoring engineers and strengthening the team's commerce, cloud and platform capabilities Improving CI/CD, automated testing, deployment automation, monitoring and observability Driving automation, platform hardening, resilience and technical debt reduction Working constructively with suppliers and technical teams to challenge … payment, search, promotions, customer and order management systems is highly desirable. DevOps/SRE/Operational Engineering Strong experience across: CI/CD and deployment automation Infrastructure and configuration as code Automated unit, integration and regression testing Monitoring, logging, tracing and observability Root cause analysis and problem management ...

scalable, secure, explainable, and governed to enterprise‐grade standards.You will contribute to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that … equivalent frameworks.Define patterns to generate regulator‐ready reason codes, aligned with compliance requirements.Ensure explainability artefacts are accurate, robust, and traceable across model versions.ML Deployment & Automation (MLOps)Architect automated training, deployment, and retraining pipelines using AWS SageMaker.Set standards for model registry usage, automated approvals, and rollback orchestration.Drive infrastructure ...

scalable Azure platform services for UK programmes and internal teams Own Azure DevOps or GitHub-based CI/CD standards, pipelines, release controls, and deployment automation across platform and application workloads Architect and manage Azure infrastructure using infrastructure as code, including networking, identity, compute, storage, container platforms, monitoring … governance Build and optimise containerised workloads using Docker and Azure Kubernetes Service with resilient and repeatable deployment patterns Define observability standards using Azure-native and third-party tooling for monitoring, logging, alerting, diagnostics, and service health reporting Implement DevSecOps practices, including shift-left security, policy as code, secrets management ...

Engineer to build and operate the platform capabilities that take machine-learning models from experimentation into reliable production services.You’ll own the automation, deployment, observability and operational controls around the ML lifecycle, working closely with research engineers, software engineers, platform teams and product teams.This is not a research … release through to serving, monitoring, retraining and incident response.What you’ll work onML lifecycle and platform engineeringBuild repeatable workflows for model training, validation, promotion, deployment and retraining.Productionise models through packaging, versioning, model registry integration, deployment automation and safe rollback.Design CI/CD pipelines for ML systems, including ...

Engineer to build and operate the platform capabilities that take machine-learning models from experimentation into reliable production services. You'll own the automation, deployment, observability and operational controls around the ML lifecycle, working closely with research engineers, software engineers, platform teams and product teams. This … secure and dependable, from model packaging and release through to serving, monitoring, retraining and incident response. Build repeatable workflows for model training, validation, promotion, deployment and retraining. Productionise models through packaging, versioning, model registry integration, deployment automation and safe rollback. Design CI/CD pipelines ...

secure, explainable, and governed to enterprise‐grade standards. You will contribute to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that … Define patterns to generate regulator‐ready reason codes, aligned with compliance requirements. Ensure explainability artefacts are accurate, robust, and traceable across model versions. ML Deployment & Automation (MLOps) Architect automated training, deployment, and retraining pipelines using AWS SageMaker. Set standards for model registry usage, automated approvals, and rollback ...

application design; Build event-driven microservices using Spring Boot and Kafka, prioritizing high availability, low latency, and operational excellence; Implement continuous build, test, and deployment automation using executable patterns to streamline software delivery; Collaborate with Principal Engineers, Domain Architects, and key stakeholders to align technical architecture with business … modern resilient service design patterns; Hands-on expertise with Apache Kafka and event-driven architectures, including orchestrated and choreographed patterns; Proven experience with Continuous Deployment practices, cloud-native operational paradigms, and automation as a core engineering principle; Solid background in designing and operating scalable RESTful APIs, including versioning ...

ensure seamless delivery of software.Your responsibilities:Given the varied nature of the role, your time will be split working across the following areas:Automation: Designing, enhancing and implementing reusable CI (Continuous Integration) & CD (Continuous Delivery) solutions using industry best current practices.Operations: Monitoring and ensuring smooth operation of production … Reliability: Troubleshooting and problem solving by reviewing dashboards and logs to resolve issues and implementing solutions to stop them from reoccurring.Deployments: Writing and running deployment automation tools using Helm, Ansible or othersPlatform Integration: With technologies such as Kafka and KubernetesSome of the technologies that you will be interacting ...

test outputs before adoption into production codebases.Execute testing activities, including unit testing, integration testing, contract testing and regression verification.Contribute to CI/CD pipelines, deployment automation and production verification processes.Support incident investigation, root-cause analysis and operational improvement activities.Identify defects, engineering risks and recurring failure patterns, contributing practical … components throughout their operational lifecycleWho you areExperienced in software engineering, with 5+ years of experience delivering production-grade software.Skilled in software design, development, testing, deployment and operational support.Confident developing cloud-native applications using Java, preferably Spring Boot, and React, or equivalent enterprise application frameworks.Experienced in designing and implementing RESTful ...

immediate, practical improvements across the Customer Digital Platform. You'll strength our DevOps foundations across Azure API platform integration, cloud infrastructure, CI/CD automation, observability, deployment safety and operational readiness, working closely with internal squads, strategic partners and third parties., As a Lead DevOps Engineer, you will … squads and with strategic partners, third parties, service, architecture and security teams to improve Azure API platform change, cloud infrastructure, CI/CD pipelines, deployment safety, release readiness, monitoring, alerting and recovery capability., Deliver immediate DevOps improvements across the Customer Digital Platform, with a focus on practical engineering outcomes. ...

Network Architect Data Centre/Automation My client , a global telecoms operator is currently looking for an experienced Network Architect with strong Data Centre and Automation experience. The Role My clients team delivers complex network and data centre solutions across a number of customer environments where stability, repeatability … change assurance are critical. The Senior Network Automation Architect/Engineer plays a key role in translating low-level designs into working, production-grade automation solutions. This role sits at the intersection of network engineering and automation. It requires deep knowledge of Cisco data centre networking alongside ...

hands-on where the problem warrants it, but your primary leverage will come through strategy, standards, and the people you build. We take an automation-first approach to everything we do;if it is repeatable, it should be codified,and you will set that standard. You will also help … primary platform, with a supporting AWS and Snowflake footprint. CI/CD and release engineering. GitHub Actions end to end, multi-region deployment automation, advanced deployment strategies (blue/green, canary, rolling) and rollback, plus security scanning, compliance checks, and vulnerability management embedded in the pipeline. Infrastructure ...

Automation Developer (Python & Ansible) Certain Advantage is hiring for a Automation Developer based in London. This role is on a initial contract basis till the end of the year and is hybrid, with employees required to be onsite 3 days per week. (High potential for an extension … Role This role is for a dynamic Network Automation Developersomeone ambitious and ready to make an impact. You'll be responsible for designing, building, and maintaining the automation ecosystem that supports critical connectivity and infrastructure services across the organisation. Key responsibilities include: Designing and maintaining ...

Automation Developer (Python & Ansible) Certain Advantage is hiring for a Automation Developer based in London. This role is on a initial contract basis till the end of the year and is hybrid, with employees required to be onsite 3 days per week. (High potential for an extension … Role This role is for a dynamic Network Automation Developer—someone ambitious and ready to make an impact. You'll be responsible for designing, building, and maintaining the automation ecosystem that supports critical connectivity and infrastructure services across the organisation. Key responsibilities include: Designing and maintaining ...

Analytics SaaS platform Provide technical leadership for a hands-on SaaS engineering team Set standards, coach engineers and build a culture focused on ownership, automation and reliability Work directly with engineers on production issues, Kubernetes troubleshooting, incident response, deployment automation, observability, capacity management and service resilience Drive … automation to reduce manual intervention, operational toil and human hand-offs Explore and adopt Agentic AI and intelligent automation for operational decision support, incident triage, runbook execution, knowledge retrieval, change preparation and service management Own SaaS operational standards, including runbooks, monitoring, alerting, incident management, post-incident reviews, backup ...

reliable movement of data from source systems through the platform into downstream vendor systems. Youll guide the team in building high-quality ETLs, improving automation and deployment pipelines, and implementing end-to-end data lineage with clear, visual traceability of data movement. Key responsibilities Technical leadership & delivery … pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning and operational SLAs. Automation, CI/CD and release engineering Improve build and deployment automation for both platform services and Airflow DAGs (versioning, packaging, promotions, approvals ...

operational excellence, including telemetry, SLOs, error budgets, on-call rotations, incident response, and continuous service improvement. Champion DevOps practices, including CI/CD, deployment automation, monitoring, and application-level operations. Collaborate with Platform Engineers as part of a lean DevOps shared service model, while taking responsibility for application … across the team. Champion code quality, documentation, automated testing, performance, security, and maintainability. Take full ownership of the quality of deliverables, including test automation, continuous improvement, and production readiness. Partner closely with Product Management, Design, AI, Platform Engineering, and other engineering teams on product discovery, technical trade-offs ...

looking for an experienced Senior AWS DevOps Engineer to take a leading role in the design, build and delivery of cloud infrastructure and automation for our clients. This is a hands-on senior engineering role, combining deep AWS and DevOps expertise with technical ownership, client engagement and the ability … practices. The Role As a Senior AWS DevOps Engineer, you’ll take technical ownership of cloud infrastructure, CI/CD, infrastructure-as-code and deployment automation across client engagements. You’ll work closely with architects, engineers, security specialists and client teams to design and implement solutions that ...

reliability and operational excellence, including telemetry, SLOs, error budgets, on-call rotations, incident response, and continuous service improvementChampion DevOps practices, including CI/CD, deployment automation, monitoring, and application-level operationsCollaborate with Platform Engineers as part of a lean DevOps shared service model, while taking responsibility for application … technical bar across the teamChampion code quality, documentation, automated testing, performance, security, and maintainabilityTake full ownership of the quality of deliverables, including test automation, continuous improvement, and production readinessPartner closely with Product Management, Design, AI, Platform Engineering, and other engineering teams on product discovery, technical trade-offs, and deliveryBring ...