Platform Engineer

• Own end-to-end payment platform outcomes across key payment products, ensuring reliability, security, performance and resilience during peak trading periods.
• Lead the design and delivery of complex payment capabilities, making high-quality technical decisions that result in secure, scalable and maintainable solutions.
• Shape the technical direction and architecture of payment systems, working closely with architects and engineering leaders to align with business and technology strategy.
• Drive engineering excellence through DevOps, automation, operational improvements and incident management, reducing repeat failures and improving service performance.
• Mentor and support engineers through coaching, code reviews and knowledge sharing, helping to build strong payment domain expertise across the engineering community.

Staff Software Engineer – Payments Platform

• Design, build, and evolve order management capabilities that support seamless customer fulfilment journeys across checkout, fulfilment, returns, amendments, and cancellations.
• Own features end-to-end, taking responsibility for solution design, development, testing, deployment, and production support.
• Help shape the technical direction of the Order Management platform, driving improvements in architecture, integration patterns, automation, reliability, and security.
• Drive operational excellence by designing systems with observability, monitoring, resilience, and supportability at their core.
• Use tools such as Dynatrace to improve platform visibility, monitoring, and alerting capabilities.
• Collaborate closely with Product Managers, Engineering teams, and Fulfilment stakeholders to solve complex business challenges and accelerate delivery outcomes.

Senior Software Engineer – Order Management Platform

• Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms.
• Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization.
• Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection.
• Ensure enterprise data integrity, validation, documentation, and governance.
• Write production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling.
• Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads.
• Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days).
• Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling.
• Take on projects with independence and a mandate to leave things better than you found them.
• Be integral to code quality on your team through leadership in design and code review.
• Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high-quality solutions.
• Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions.
• Work alongside engineering groups located around the world in a fast-paced, dynamic environment.

Data Engineer II – Data Platform

• Identify and act on production problems without being prompted
• Build end-to-end, high-availability systems that handle extreme traffic spikes
• Lead platform modernization initiatives
• Design and implement streaming and event-driven solutions

Principal Engineer I – Prepurchase Platform

• Lead and inspire a growing 35‑person, five‑squad engineering organisation split between Oxford and São Paulo, setting direction, standards and a shared sense of purpose.
• Lead delivery excellence - Establish a high-performance delivery culture that consistently achieves business goals, delivers strategic initiatives on time and enables Aurora to execute effectively against its product and technology roadmap.
• Develop people and teams through hands‑on coaching, career development, training initiatives and effective performance management.
• Shape engineering strategy and roadmap in partnership with Product Management, Modelling, AI & Data Engineering and Product Engineering, balancing short-term delivery with long-term platform evolution.
• Lead Aurora's model engineering transformation, embedding modern software engineering practices, AI-enabled development workflows and continuous delivery approaches to improve quality, productivity and delivery speed of our models.
• Drive engineering excellence through strong architecture, testing, security, operational and delivery standards, supported by metrics and data-driven decision making.
• Own organisational and financial performance, including budget management, capacity planning and investment prioritisation.
• Contribute to Aurora's wider technology strategy, helping shape the future direction of our modelling platforms, software products and engineering organisation.

Head of Software Engineering – Model and Platform Engineering

• From empowering entrepreneurs to build successful businesses, to supporting their clients to arrange 'me time' moments, we’re in the business of elevating people - helping them to thrive and feel fantastic. Lifting others up can be hard, heavy work, and we passionately believe that the sense of purpose and personal satisfaction this brings are worth it.
• What started in Poland is now an international, cloud-based marketplace that’s scaling rapidly. We bring independent business owners together with their customers on a product that connects creative communities and opens up worlds of opportunities.
• For our providers, our products offer services for getting booked, paid, and building a loyal client base. For their clients, we’re where they can find their favourite spots, discover new businesses and book appointments in an instant.
• Working in a rapidly growing, ever-changing scale-up comes with its own set of opportunities and challenges. If you prefer a stable environment, with clear processes and structures then, we've got to be honest, you won't always find that here. However, if you enjoy inventively solving problems with others, helping create clarity when things get confusing, and prioritising your own path within ambiguity, then the chances are that you'll love the opportunities available to grow your career at Booksy.
• The people you’ll like to work with and things you'll enjoy impacting:**As a Data Platform Engineer reporting to the Data Platform Engineering Manager in our Data & Analytics - Data Platform Engineering team, your purpose will be to build and maintain the foundational cloud infrastructure that powers data at Booksy.
• You’ll act as an enabler for our data engineering and analytics teams, prioritizing reliability, automation, and self-service. From developing GCP infrastructure using Terraform to optimizing CI/CD workflows and managing our Cloud Composer/Airflow scheduler, you will directly influence how safely and efficiently we scale our data ecosystem.

Data Platform Engineer

• Design and build a self-service internal developer platform
• Embed AI-driven automation into the platform
• Own cloud infrastructure on AWS
• Act as the internal product manager for the platform
• Set and enforce platform standards
• Identify and fix the biggest sources of friction in the engineering workflow
• Work lean and autonomously

Senior Platform Engineer

• As an Associate Data Platform Engineering Manager reporting to the Head of Data Engineering in our Data & Analytics - Data Platform Engineering team, your purpose will be to lead a small, high-impact team of 2-3 platform engineers while staying heavily involved in hands-on technical work.
• You’ll split your time between people leadership - coaching your team, driving agile delivery, and managing OKRs - and engineering tasks.
• You will design reliable Terraform/Terragrunt modules on GCP, champion data security controls (Dataplex, DLP), and establish standard, self-service developer tools that empower our downstream data teams to build with confidence.

Data Platform Engineering Manager

• Customize and configure Dynamics 365 Finance & Operations, demonstrating expertise in its data structures, frameworks, and development tools such as Visual Studio and Lifecycle Services (LCS), Unified Developer Experience (UDE), and all components of the Microsoft Power Platform including Copilot Studio.
• Participate in all phases of the Dynamics 365 F&O implementation lifecycle, including requirements analysis, design, development, testing, deployment, and post-go-live support.
• Collaborate with business analysts and stakeholders to ensure solutions meet business needs.
• Develop, enhance, and stabilize core Dynamics 365 Finance & Operations modules including Procurement & Sourcing, Purchase Orders, Vendor Management, General Ledger, Budgeting, Payments, and Travel & Expense, ensuring reliable transaction processing, compliant approval flows, and high‑quality financial and procurement data.
• Extend and enhance standard Dynamics 365 modules through customizations primarily using the MS Power Platform (including Copilot Studio) but also potentially using X++, C#, and integration patterns.
• Design and build integrations between F&O and external systems using Power Automate, Dataverse, virtual tables, and RESTful APIs.
• Ensure data integrity, security, and performance in integration solutions.
• Create and maintain automated workflows and approval processes that embed business rules, thresholds, compliance controls, and auditability.
• Design, maintain, and optimize Data Entities and Data Management Framework (DMF) pipelines for structured data import/export, reporting, and cross‑system synchronization.
• Ensure data quality and consistency for finance reporting, dashboards, and audit requirements.
• Use the Power Platform to develop low-code applications (Power Apps) and incorporate AI features to enhance F&O processes.
• Provide ongoing maintenance, troubleshooting, and third-level support for new and existing Dynamics 365 applications, including performance tuning and bug fixes.
• Consult with clients and end-users on technical and functional aspects of the platform, providing guidance and recommendations for solution design and best practices.
• Communicate complex technical concepts clearly to non-technical stakeholders and participate in user acceptance testing (UAT).

Power Platform Developer – Security Clearance

• Design, build, and maintain scalable infrastructure and deployment pipelines.
• Build and maintain CI/CD pipelines for reliable delivery.
• Develop AWS-based infrastructure using Cloudformation, CDK and Terraform.
• Create secure, scalable Linux platform solutions.
• Collaborate with developers to improve deployment and monitoring.
• Automate infrastructure and operational tasks.
• Maintain infrastructure documentation and ensure compliance with best practices.
• Ensure software quality through peer reviews and continuous integration.
• Collaborate in Agile ceremonies and break down work items.
• Support deployment, integration, testing, and configuration of Vix systems.
• Proactively manage risks and ensure timely delivery of projects.
• Conduct systems analysis and recommend improvements.
• Troubleshoot and resolve incidents to ensure reliability.
• Act as a technical mentor to software engineers and support for professional development.
• Promote knowledge sharing and continuous learning.
• Model Vix’s engineering standards and team values.

• Design and build aion's inference service platform the backbone for serving AI models at scale across diverse workloads
• Own and architect core platform components: AI Gateway, Resource Orchestrator, Runtime Engines, and Autoscaler
• Design highly modular, scalable, and extensible low-level designs (LLDs) for inference infrastructure components
• Lead high-level design discussions, establish architectural patterns, and drive technical decision-making for the inference stack
• Understand and optimize the dynamics of model deployment, version upgrades, and rollback strategies
• Build robust deployment pipelines for seamless model updates with zero-downtime deployments
• Design intelligent routing systems for multi-model serving, A/B testing, and canary deployments
• Implement strategies for efficient GPU utilization and model cold-start optimization
• Implement highly performant and optimized software for low-latency, high-throughput inference serving
• Build and debug production-grade code in distributed systems handling real-time AI workloads
• Optimize inference pipelines for latency, throughput, batching efficiency, and resource utilization
• Design fault-tolerant systems with graceful degradation and automatic recovery mechanisms
• Build high-performance telemetry and observability stack for inference metrics, performance tracking, and debugging
• Implement comprehensive monitoring for model latency, throughput, error rates, GPU utilization, and cost per inference
• Conduct thorough code reviews to maintain code quality, performance standards, and architectural consistency
• Establish engineering best practices for testing, documentation, and production readiness.

Senior Software Engineer, Inference Platform

• Design, develop and enhance enterprise solutions built on Microsoft Dynamics 365 CE, Dataverse and the Microsoft Power Platform.
• Deliver new application capabilities, workflow automation and business process improvements aligned to customer requirements.
• Develop and maintain custom plugins, integrations, workflows and Power Platform components.
• Contribute to solution architecture discussions and technical design decisions.
• Identify opportunities to improve performance, scalability, maintainability and supportability across the application estate.
• Participate in technical design workshops and collaborate with functional consultants, architects and customer stakeholders.
• Lead the technical implementation of approved change requests and enhancement initiatives.
• Analyse existing functionality and recommend improvements to user experience, process efficiency and operational effectiveness.
• Refactor and optimise existing solution components to reduce technical debt and improve long-term maintainability.
• Support the introduction of new Microsoft capabilities and platform features where appropriate.
• Contribute to the ongoing evolution and modernisation of the solution architecture.
• Develop and maintain Dynamics 365 CE customisations, Dataverse solutions, Model-Driven Apps, Power Automate solutions, Custom integrations, and more.
• Ensure solutions are secure, scalable and aligned with Microsoft best practices.
• Maintain appropriate development standards, documentation and coding practices.
• Work closely with Azure Integration Engineers to deliver and maintain end-to-end business processes spanning Dynamics 365, Dataverse and Azure services.
• Contribute to the design and troubleshooting of integrations involving Azure Data Factory, Logic Apps, Azure SQL, and others.
• Support root cause analysis of complex cross-platform issues affecting business-critical processes.
• Support solution deployment and release activities using Azure DevOps.
• Participate in code reviews and contribute to development quality standards.
• Promote automation and repeatable deployment practices.
• Collaborate with testing resources to ensure solutions are fully validated prior to release.
• Contribute to CI/CD improvements and application lifecycle management practices.
• Act as a senior technical resource within the delivery team.
• Provide expert analysis and resolution of complex application issues and defects where deep product knowledge is required.
• Participate in major incident investigations and root cause analysis activities.
• Support knowledge sharing and mentoring within the wider engineering team.

Senior Microsoft Dynamics 365 CE, Power Platform Engineer

• Design, implement and maintain secure network infrastructure across cloud, lab and office environments.
• Deliver network upgrades, new deployments and infrastructure improvements in collaboration with DevOps and project teams.
• Build and maintain Infrastructure as Code solutions, dynamic documentation and network architecture standards.
• Implement network monitoring, performance optimisation and incident response to ensure highly available services.
• Strengthen network security through access controls, encryption, security reviews and collaboration with IT teams.
• Partner with internal stakeholders to design networking solutions that support research, engineering and product delivery.
• Mentor colleagues, share technical expertise and contribute to the continuous improvement of networking practices across OQC.

Platform Network Engineer

• Design, build, and evolve platform capabilities that power scalable, secure, and highly reliable cloud solutions.
• Apply strong platform engineering principles to create automated, reusable, and self-service solutions that improve developer experience and enable teams to deliver faster and more consistently.
• Drive high-quality platform design and engineering standards.
• Enable automation, reliability, and cost optimisation at scale.
• Embed best practices that simplify and standardise how we build and run services.
• Play a key part in mentoring and supporting engineers, influencing technical direction, and collaborating across teams to deliver high-quality, cloud-native solutions aligned with HL goals.

• Design, operate, and continuously improve the AWS serverless data platform.
• Maintain self-service tooling, templates, and scaffolding for serverless resources.
• Produce high-quality technical documentation and maintain engineering standards.
• Act as a trusted technical partner, defining SLAs and SLOs for platform services.
• Ensure platform infrastructure adheres to security best practices.
• Own and evolve IaC for platform infrastructure using tools such as Terraform, AWS CDK, or CloudFormation.
• Drive a culture of continuous improvement through regular platform reviews.

• Deploy, manage, and optimise Azure and on-prem platforms, ensuring high performance and reliability
• Maintain applications and services, including patching, upgrades, and health monitoring
• Design and run scalable data pipelines using Azure Data Factory, Databricks, Synapse, and Azure SQL
• Apply strong data engineering practices including data modelling, CDC, SCD2, and schema evolution
• Build integrations using Logic Apps, Azure Functions, and APIs, leveraging event-driven architectures
• Implement CI/CD pipelines and Infrastructure as Code using Azure DevOps, ARM, Bicep, or Terraform
• Embed security, governance, and observability (RBAC, OAuth2, encryption, monitoring, telemetry)
• Lead troubleshooting, incident prevention, and continuous improvement initiatives

Platform Data Engineer

• Support the rollout of AI platforms, such as Microsoft 365 Copilot across the business, including pilot waves, user onboarding, and post-deployment support.
• Carry out day-to-day administration tasks for AI platforms - licensing, basic configuration, user provisioning, and routine troubleshooting.
• Help prepare and deliver training materials, "lunch and learn" sessions, and office hours that help colleagues use systems in their day to day.
• Maintain documentation, FAQs, and internal knowledge content for the AI platforms we run.
• Help collect and present adoption and usage data so the team can see what's working.
• Triage user questions and platform issues, escalating to senior team members or specialised teams (Identity, Security, Information Protection) when needed.
• Work with the Information Protection team on practical tasks that improve content readiness for platforms (e.g. helping with sensitivity labels and access hygiene).
• Get exposure to our Snowflake-based advanced AI platform (Cortex Code, Cortex Agents) and support early users where helpful.
• Keep up with the platform roadmaps and bring useful new features to the team's attention.
• Build small Low-Code solutions where they help solve practical problems.

Associate AI Platform Engineer

• Lead multiple initiatives end-to-end - from early refinement through to production deployment - owning reliability, performance, and long-term maintainability
• Contribute to architectural decisions that shape the future of the platform, representing the team in cross-team design discussions and architecture forums
• Drive technical excellence: set the standard for code quality, test coverage, and engineering best practices across the team
• Actively care about the product and its users - contributing to improvement beyond code implementation
• Collaborate cross-functionally with Product, UX, and other engineering teams, representing the team's technical perspective and influencing delivery outcomes
• Be a key player in the team's strategy, with significant influence on project outcomes and the team's ability to move fast and deliver value
• Mentor and coach less experienced engineers through pairing, code reviews, and knowledge-sharing sessions
• Contribute to the team's engineering culture - participating in working groups, hackathons, and community initiatives across the wider VCC engineering organization.

Senior Software Engineer – Contact Centre Platform, CCaaS

• Implementing IaC with Terraform and utilising functions of the Common Platform
• Working within Core Platform to prioritise work for upgrades and business delivery and supporting engineers with deployment and production issues
• Reviewing and approving pull requests from engineers across ITV to support deployment of new infrastructure, permission changes and access
• Maintaining and supporting infrastructure for the Core Platform Team including the Common Platform Infrastructure e.g. Jenkins
• Managing upgrades of the Kubernetes deployments in AWS
• Defining and designing the infrastructure for the future - whether this be for a new application or re-design of an existing application
• Sharing best practice within the Common Platform team and contributing back ideas, improvements and designs

Junior Platform Engineer

• Excellence: work alongside established and experienced engineering teams, whilst supporting and growing the organisation’s understanding and utilisation of modern technology
• Collaboration: work with various cross-functional disciplines across the organisation to make ideas a reality, whilst taking an active role in shaping and delivering the ongoing technical vision of the organisation alongside your peers
• Autonomy: authority over technical strategy, decisions and implementation approach, so you can deliver using practices that align with your preferred ways of working
• Data Driven: utilise rich logs, metrics, and data to monitor and improve system performance, cost, security and reliability
• Culture: enhancing a diverse engineering culture by taking part in various technical catch-ups, working groups, and 'All Hands'
• Experience: enrich RVU’s perspective by sharing your experience, knowledge and expertise in a continuous learning environment.
• As a key member of the platform engineering team you will be accountable for the following:
• Objective setting, feature ideation, development and measurement
• Architectural decisions and designs of the platform, domains and systems
• Defining, evolving, and applying team processes
• Responsible for the entire stack to meet business requirements
• Building efficient CI/CD pipelines and robust DevOps practices
• Utilising a variety of infrastructure to keep systems performant, scalable & reliable
• Mentoring and coaching engineers, and presenting knowledge and information back to the wider organisation.
• As a Staff Platform Engineer at RVU you will be expected to:
• Proactively identify opportunities for improvement across the organisation
• Manage your time effectively between team and organisational level contributions
• Rotate around the business to build relationships and act as a multiplier.

Platform Engineer jobs in United Kingdom

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Staff Software Engineer – Payments Platform

Senior Software Engineer – Order Management Platform

Data Engineer II – Data Platform

Principal Engineer I – Prepurchase Platform

Head of Software Engineering – Model and Platform Engineering

Data Platform Engineer

Senior Platform Engineer

Data Platform Engineering Manager

Power Platform Developer – Security Clearance

Senior Platform Engineer

Senior Software Engineer, Inference Platform

Senior Microsoft Dynamics 365 CE, Power Platform Engineer

Platform Network Engineer

Senior Platform Engineer

Senior Platform Engineer

Platform Data Engineer

Associate AI Platform Engineer

Senior Software Engineer – Contact Centre Platform, CCaaS

Junior Platform Engineer

Senior Platform Engineer