Platform Engineer (sre/devops/security Senior/lead)

London, ENG, GB, United Kingdom

Job Description

Role: Platform & Security Engineer (Senior/Lead)



Location:

London Bridge, London, UK

Work Setup:

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

AWS

(EKS, ECS, S3, EC2, CloudFront, Route53, IAM, Secrets Manager etc) Strong proficiency with

Kubernetes (EKS),

Helm and containerised workloads (

Docker

) Advanced experience with

Terraform

and

Argo CD (GitOps)

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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Job Detail

  • Job Id
    JD3924604
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Full Time
  • Job Location
    London, ENG, GB, United Kingdom
  • Education
    Not mentioned