Top DevOps Jobs in London

Lead and evolve Anti‑Financial Crime engineering, oversee platform implementations (KYC/CDD SaaS, fraud, ABC, tax evasion monitoring, case management), transition to a product‑led operating model, embed Agile and DevOps practices, ensure secure, scalable cloud‑native and event‑driven architectures, manage vendor and regulatory governance, and partner with stakeholders across risk, compliance, operations and enterprise engineering.

Lead the technical health, architecture, and delivery of the Salesforce platform. Own Apex, LWC, Flow, data model, security and integrations, set coding standards and DevOps practices, run design and code reviews, mentor engineers, and champion new Salesforce and AI capabilities across the enterprise.

Build and scale AI-driven backend systems and infrastructure for retail intelligence: develop the AI chatbot, agents, tooling and MCP integrations, evolve data processing across AWS and bare metal, own features end-to-end, and mentor team members.

Manage full sales cycle for startups: prospecting, territory planning, pipeline generation, proposal and SOW negotiation, contract closing, and building strategic AWS partnerships while collaborating with internal teams to meet revenue and margin targets.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

The GTM Manager will drive revenue for Cognition by managing the sales cycle, developing customer strategies, and providing product feedback, focusing on enterprise customers.

Provide hands-on support for network issues, enhance workflows, focus on automation, and integrate AI in network operations.

Design, build and maintain high-performance, scalable market-making applications and services. Collaborate with product owners, architects and engineering teams to deliver secure, observable solutions. Improve CI/CD, automated testing and DevOps practices, support production systems, contribute to architecture and documentation, and work within Agile/Scrum to meet regulatory and operational requirements.

Lead QA for ServiceNow platform enhancements: design and execute functional, integration, regression and ATF automation tests; validate releases, track defects, support deployments, and promote QA best practices within Agile teams.

Secure and scale cloud infrastructure by implementing CI/CD, hardening DigitalOcean and other cloud environments, managing certificates and DNS, integrating IAM/SSO and KYC providers, applying DevSecOps practices, automating infrastructure as code, participating in incident response, and collaborating with engineering teams to optimize deployments and reduce downtime.

Design, build, and operate cloud infrastructure for autonomous testing agents. Own CI/CD, infrastructure as code, Kubernetes-based workloads, observability, alerting, incident response, reliability, cost optimization, security, and platform scalability. The role requires operating production systems under real load and enabling fast, confident software delivery.

Manage and evolve AWS and secure on-premise platforms, provide L3 production support and 24/7 on-call coverage, maintain CI/CD pipelines, and build infrastructure across Kafka, databases, identity, caching, and replication services. Improve automation, observability, testing, security compliance, and service resilience while supporting deployments and ITIL-aligned incident, problem, and change management in secure government environments.

Responsible for deploying, operating, and ensuring reliability of a centralized AI-SDLC platform. Build/manage infrastructure, CI/CD pipelines, observability, security/compliance controls, and provide operational/on-call support to meet enterprise SLAs while optimizing cost and scalability.

Lead design and implementation of CI/CD pipelines, infrastructure automation (Ansible/Terraform), and containerised platforms (Docker/Kubernetes/EKS/AKS) on AWS. Monitor and optimize systems (DataDog), ensure security/compliance, troubleshoot environments, mentor engineers, and drive POCs for AI-assisted automation integrated into CI/CD, code validation, and incident resolution.

Own and operate an on-prem Kubernetes platform for trading systems: cluster lifecycle, observability (metrics/logs/traces), GitOps CI/CD, infra automation, and onboarding/support for trading desks.

Design, develop, and maintain scalable automation frameworks and tooling to provision and manage cloud and hybrid infrastructure. Build Python-based IaC generation with Jinja2 and Terraform, maintain Puppet modules for Linux/Windows, develop PowerShell automation for Windows/AD, integrate automation with CI/CD, implement testing for infrastructure code, and partner with platform teams to drive operational excellence and documentation.

The DevOps Engineer will focus on designing and improving CI/CD platforms, lead technical solutions, mentor engineers, and work in agile teams.

Support and optimize AWS cloud infrastructure, including networking, security, automation, monitoring, and on-premises connectivity. Design and manage VPCs, subnets, load balancers, NACLs, NAT, Direct Connect, Transit Gateways, IDS/IPS, and security groups. Automate infrastructure with Chef and use Git, Jenkins, and Nexus for development workflows. Maintain Red Hat Enterprise Linux environments, promote cloud networking best practices, support AWS migrations, and help teams adopt agile ways of working.

As a Senior Project Manager for D365 F&SCM, you will manage projects, ensure customer satisfaction, handle budgets, and support pre-sales activities.

Serve as a post-sale technical advisor designing and implementing scalable, secure IDP architectures. Lead discovery and architecture workshops, create solution designs and playbooks, enable customers on Port configurations, and collaborate across Product, Engineering, and Customer Success to drive platform adoption and feedback.

Lead technical pre-sales for enterprise accounts: run discovery, demos, PoCs, onboarding, and documentation; coordinate with product/engineering; generate leads and evangelize Kong API and connectivity solutions.

Build and maintain end-to-end batch and streaming ingestion pipelines, enforce data contracts and quality, implement enrichment and lifecycle management, instrument observability and SLOs, ensure governance and enable self-service ingestion for analytics, ML, and product teams.

Lead and grow engineering teams building a broker platform. Drive technical strategy, deliver microservice-based features, advocate Agile/Lean practices, recruit talent, measure team impact, and collaborate with senior stakeholders and CTO on architecture and infrastructure.

Own and optimise Salesforce CI/CD pipelines using Copado, automate metadata and code deployments, manage environments (data masking/seeding), integrate automated testing and quality gates, monitor and troubleshoot releases, and mentor teams to improve DevOps practices.

Lead design and delivery of AWS-based, agentic AI platforms and enterprise serverless architectures. Provide technical leadership, client-facing workshops, governance, hands-on engineering, IaC/CI-CD practices, and mentor engineering teams to drive account growth and capability building.