Top DevOps Jobs in London

Entry-level technical consultants develop skills across cloud, data engineering, DevOps, security, software engineering and AI-enabled technology. They build and troubleshoot solutions, automate infrastructure, implement CI/CD, improve platform security, work with cloud services, and support client delivery. The programme includes structured training, mentoring, certifications and hands-on project experience. Successful candidates communicate clearly, solve problems logically, learn new technologies and contribute to reliable, secure and maintainable enterprise solutions.

Leads large-scale software engineering and technology transformation programmes for enterprise clients. Responsibilities include advising senior stakeholders, mobilising engagements, establishing governance and engineering operating models, managing multidisciplinary teams, guiding cloud, DevOps and AI-enabled transformation, overseeing budgets and delivery performance, supporting business development, and developing engineering talent and practice capabilities. The role emphasizes strategic leadership and client delivery rather than hands-on development.

Lead Zodiac Maritime’s digital transformation and long-term technology strategy. Manage technology leadership teams, enterprise architecture, SaaS and cloud adoption, data initiatives, cybersecurity, governance, digital solution implementations, major programmes, budgets, and strategic technology vendors. Partner with senior stakeholders to drive business alignment, cultural change, innovation, operational efficiency, and secure technology adoption across the organisation and maritime operations.

Drive enterprise sales growth across the Nordic region by acquiring new customers, expanding existing accounts, building Salesforce ecosystem partnerships, generating pipeline, managing complex sales cycles, maintaining forecasts in Salesforce CRM, and delivering consultative value propositions to technical and executive buyers.

Develop and support front-office software for Structured Credit and Financing, including Credit Repo, Credit Exotics, trade booking, risk/PnL, margin, settlement, reporting, and workflow automation. Provide intraday desk-facing coverage, resolve production issues, improve platform stability and performance, and deliver hands-on code. Partner with traders, structurers, operations, risk, and global technology teams while contributing to Genesis development, DevOps, testing, monitoring, and mentoring.

Design, implement, and optimize enterprise LAN/WAN/WiFi and cloud network architectures. Lead cloud networking (AWS/Azure/GCP), automation (Ansible, Python, Terraform), monitoring, troubleshooting, and enforce security/compliance. Collaborate with cross-functional teams and mentor junior engineers.

The Solution Architect will design scalable and secure solutions, manage stakeholders, and lead technical teams while ensuring alignment with client needs and governance standards.

Lead technical installations and integrations for nCino/Salesforce, design and document integration architectures, build and test solutions, support DevOps, train clients, troubleshoot complex issues, and leverage AI/ML to improve integration and automation.

Support and lead data-driven communications projects across EMEA and APAC, using NLP, statistical and ML methods to extract insights from multiple data sources, build pipelines, create visualisations and client-ready reports, and deploy AI-enabled solutions to inform reputation and communications strategy.

Lead and deliver advanced data and AI-driven communications solutions: design and implement analytics/ML approaches, integrate multiple data sources, build pipelines and visual reporting, manage and mentor data scientists, translate technical results for senior clients, support business development and innovate tools to advance corporate communications insights.

The Development Manager will oversee the development lifecycle of applications for LSEG Workspace, leading cross-functional teams and ensuring high-quality deliverables while fostering innovation within the team.

As an Associate Technical Consultant, you'll provide technical expertise on Veeva's applications, develop custom code, and support data migration under experienced guidance. You will interact with customers and project teams to enhance their experience with Veeva products.

Design, build, and support ETF platform capabilities for portfolio construction, trading, analytics, and operations. Develop Python-based services, SQL ETL and tuned queries, event-driven architectures (Kafka), and cloud-native AWS applications. Implement CI/CD, ensure data quality, observability and lineage, partner with investment teams, institutionalize AI-assisted development, and participate in production support and on-call rotation.

Develop and promote technical strategies, assess business and technical impacts, and design pragmatic enterprise platform solutions. The role requires holistic organisational thinking, stakeholder management, consulting, and influence across technical and business teams. Responsibilities include evaluating service providers and sourcing options for application and integration platforms, with desirable experience in Oracle and BEA middleware, databases, cloud technologies, financial services, and TOGAF certification.

Build and support large-scale data infrastructure and datasets for Spotify’s user behavior data. Design data architectures, develop collection and processing systems, and improve reliability, scalability, and usability. The role supports personalization, recommendation systems, and internal data teams while requiring collaboration across product and engineering disciplines.

Lead Operational Acceptance Testing (OAT) strategy and execution to validate production readiness. Manage OAT scope, run monitoring/DR/backup/soak/batch tests, produce auditable evidence, track defects/risks, and provide operational assurance while mentoring junior testers and coordinating with infrastructure, DevOps, and support teams.

Translate business requirements into epics and user stories, own and prioritise product backlogs across squads, support Agile ceremonies, define acceptance criteria and tests, monitor delivery, facilitate workshops, manage Jira/Confluence, collaborate with stakeholders and engineering, and support release planning and DevOps practices to ensure successful product execution.

As a Founding Engineer, you will develop innovative features, integrate AI into products, design APIs, and shape backend infrastructure while ensuring high-quality outputs and rapid feature delivery.

Lead design and deliver scalable XVA risk software, embed AI/ML and Generative AI into workflows, own projects end-to-end, drive architecture and Agile delivery, ensure regulatory compliance, and mentor engineering teams.

Senior leader accountable for coordinating and aligning data products across clinical, corporate, and commercial domains. Leads a team of Data Product Coordinators, manages intake/prioritization, drives cross-functional delivery across data ingestion, engineering and distribution, and establishes governance, KPIs, operating models, and stakeholder alignment in a matrixed global CRO environment.

The Sr. Business Value Consultant will partner with sales teams to build business cases focused on ROI, collaborate with product teams, and conduct market research.

Lead global Identity & Fraud engineering teams to drive delivery, modernisation, and AI-native practices. Own people leadership, talent strategy, budgeting, vendor management, and cross-functional partnerships. Embed DevOps, cloud (AWS/EKS), Java/.NET full-stack expertise, and AI tools to deliver scalable fraud and identity products for global B2B clients while ensuring governance, security, and operational excellence.

Build and maintain the Enterprise Data Lakehouse on Azure using Databricks, Python and Terraform. Design and implement ETL/data pipelines, automate processes and CI/CD, optimise data infrastructure and pipelines for reporting, ensure data security/compliance, and maintain documentation.

Leads the Onyx Application Engineering organization responsible for enterprise software platforms supporting GSK Research. Oversees engineering strategy, product roadmap execution, full-stack application delivery, DevOps, cloud-native architecture, usability testing, platform integration, and operational excellence. Builds and develops high-performing global engineering teams, partners with Product and Platform leaders, advances modern software architecture, and supports data-powered scientific and AI/ML experiences.

Lead pre-sales data engineering engagements for enterprise customers, including discovery workshops, architecture reviews, executive briefings, migrations, and AI-ready data strategy. Design and advise on Snowflake, Databricks, and lakehouse platforms, translating complex technical tradeoffs into business outcomes. Support services sales opportunities, develop technical thought leadership, engage technology partners, and guide customers on scalable, governed data foundations for AI workloads.