Manager, Platform Engineer
Baringa
| Company | Baringa |
| Category | Engineering |
| Location | London |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 1 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Baringa
Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.
The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation.
Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.
Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. Our Solutions & AI Lab practice are looking for an experienced Platform Engineering Manager to join the team.
Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights and better leverage them through the use of Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions.
What you will be doing
Focus on the hardening of environments and ensuring policies are planned and enforced
Implement and advocate for security best practices in all aspects of the development and deployment lifecycle
Ensure compliance with industry standards and manage risks associated with cloud deployments
Prioritize modularity and the toolchain produced by the platform engineering team to support accelerators and automation
Design, architect, develop, deploy, and evolve CI/CD systems to help our clients transition to cloud-based data analytics platforms (AWS, Azure, GCP) and leverage modern architecture patterns (e.g., APIs, events)
Write and maintain Infrastructure as Code (IaC) and automate application deployment using industry-standard tools and services
Scale the services and toolchain produced by the platform engineering team to support accelerators and automation of configuration improvements
Build reusable, extensible, secure artifacts and drive Cloud and DevOps industry best practices on engineering teams
Design and implement solutions that ensure high availability and disaster recovery
Define and implement monitoring best practices and deploy health check agents
Ensure logging best practices are defined and implemented
Develop and process an alerting strategy to define severity and direct alerts appropriately
Translate business requirements (both functional and non-functional) into a simplified solution, ensuring compliance with the organisations strategy, policies and standards
Create high-level designs and architectures which deliver on the needs of the project
Financial operations and cost optimisations of infrastructure and proposed architecture
Your skills and experience
Experience in designing, architecting, and deploying CI/CD systems for modern data analytics platforms and modern web applications in the cloud
Skilled in writing Infrastructure as Code (Ia
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