Hybrid (3 days/week in office ~ Tues, Weds, Thurs)
Type:
Full-time, Permanent
Seniority:
Senior / Lead Level
Start Date:
ASAP Ideally
The Mission
We're building the next generation of Enterprise AI - intelligent systems that help businesses understand and act on what matters, faster and at scale. Our platform powers Enterprise Agentic AI, real-time insights, and applied data intelligence across multiple industries - all running on a
modern, secure, cloud-native foundation built on Zero Trust principles
.
The Platform Engineering function exists to make that foundation scalable, observable, and compliant - enabling every product, data, and AI team to build and deliver confidently for our enterprise clients.
The Role
As a
Lead / Senior Platform Engineer
, you'll own the infrastructure that keeps our AI platform fast, secure, and enterprise-ready. You'll own evolve our AWS and Kubernetes (EKS) environment, automate everything with Terraform and Argo CD, and ensure our systems scale seamlessly as we onboard new enterprise clients across a multiple verticals.
You'll also own and mature the company's
security operations
, working closely with leadership to operationalise our
Zero Trust architecture
, evolve our
endpoint and identity security strategy
, and ensure the company meets both
technical and compliance standards (ISO 27001:2022)
. You'll manage and continuously improve our endpoint protection, remote management, and email security ecosystem - ensuring full visibility, patching, and threat detection across the organisation - while steering the roadmap toward a centralised, SCIM-based identity and access management framework.
This is a hybrid role that blends platform engineering, security leadership, and compliance enablement. You'll be at the heart of how we scale infrastructure and security together - building systems that power AI products, protect enterprise data, and earn client trust at every level.
What You'll Do
Architect, build, and manage
AWS-based infrastructure using
Terraform
as the single source of truth
Lead and evolve our Kubernetes (EKS)
clusters for high availability, scalability, and performance
Maintain and evolve
GitOps workflows with Argo CD
, integrated into CI/CD (GitHub Actions preferred)
Implement and uphold
Zero Trust architecture
across infrastructure, networking, and identity management
Manage and optimise database infrastructure supporting analytics, ML, and AI workloads
Oversee
database performance, access control, backup policies, and governance
Manage and evolve endpoint protection, remote management, and email security ecosystem
Drive the development of a
SCIM-based identity and access management framework
across systems
Build and maintain
observability stacks
(Prometheus, Grafana, Datadog, or OpenTelemetry)
Partner with Data Engineering to deploy
Dagster
pipelines and ensure reliability across data and AI workloads
Support infrastructure delivery for
existing and new enterprise clients
, ensuring uptime, integrity, and compliance
Lead and support on the technical implementation of ISO 27001:2022
, from security controls and audit readiness to incident response
Establish and maintain best practices for
infrastructure-as-code, GitOps, observability, and compliance-as-code
Mentor engineers and promote a
security-first, automation-first culture
across the organisation
What We're Looking For
Strong experience in Platform / DevOps / Infrastructure Engineering roles
Deep expertise in
for infrastructure automation and deployment
Proven track record in
database management
(Aurora, PostgreSQL, or similar cloud-native databases)
Experience managing or integrating
security tools
Familiarity with or interest in evolving
SCIM-based identity and access management systems
Strong understanding of
Zero Trust security principles
, IAM, and network segmentation
Experience designing and maintaining
CI/CD pipelines
(GitHub Actions, CircleCI, or similar)
Proven experience supporting
enterprise-scale clients
with strict uptime, reliability, and security requirements
Experience implementing
ISO 27001:2022
or similar frameworks (SOC 2, NIST, etc.) at a technical level
Collaborative, pragmatic, and comfortable operating across infra, data, and security domains
Bonus (but not required): experience with event-driven architectures, vector databases, ML/AI infrastructure, python
Why Join Us
Lead and define the
platform and security architecture
that underpins a new generation of Enterprise AI Systems - used by Enterprise (FTSE 500) companies
Work in a
modern, security-first stack
- AWS, EKS, Terraform, Argo CD, Django, Dagster
Own the company's
security operations and Zero Trust implementation
across infrastructure and endpoint layers
Take a leading role in technical side of
ISO 27001:2022 certification
and evolve our compliance maturity
Drive the evolution toward
SCIM-based identity management
and unified security governance
Support infrastructure that powers both
existing and new enterprise clients
Collaborate with high-calibre engineers, data teams, and AI practitioners
Shape the culture, standards, and reliability of a company built for intelligent, secure enterprise AI
Job Types: Full-time, Permanent
Pay: 60,000.00-80,000.00 per year
Application question(s):
Are you comfortable working in a Hybrid setting (Tues, Weds, Thurs)?
When can you start (in months - ASAP for immediate)?
What are your salary expectations?
Work authorisation:
United Kingdom (required)
Work Location: Hybrid remote in London SE1 9SE
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