Software Engineer

TrueNorth®; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

TrueNorth® is seeking a Core Platform Engineer in London to shape architecture for a mission-critical integration platform operating across Kubernetes environments. You will drive gateway capabilities, store-and-forward messaging, observability, and AI-assisted development while ensuring secure, scalable, and auditable delivery.

You will work on ABAC, PKI, JWT-based auth, and deploy across edge and sovereign clouds, balancing architectural thinking with hands-on delivery in a fast-paced,

Qualifications

• Strong commercial experience building Go applications on Kubernetes.
• Experience with API gateways and service mesh technologies.
• Knowledge of observability frameworks and modern platform engineering practices.
• Experience operating in secure, regulated environments.

Responsibilities

• Contribute to platform architecture and ADRs with automated testing.
• Define standards for secure service communication and interoperability.
• Review and assure code artefacts from AI-assisted workflows.
• Own reliability, security and maintainability of platform components.

Skills

Go programming

Kubernetes

API gateways

Security / PKI

JWT / mTLS

Edge / distributed systems

Terraform / IaC

OpenTelemetry

GitOps / CI/CD

gRPC

Tools

gRPC

OpenTofu

Job description

Location: London (4 days onsite per week)

Reporting to: Technical Director

About the Role

We are building a mission-critical integration platform that enables sensors, autonomous systems, command applications and edge services from different vendors to operate as a single interoperable ecosystem. The platform is designed to function across disconnected, intermittent and low-bandwidth environments and is deployed into highly secure Kubernetes environments.

As a Core Platform Engineer, you will help shape the architecture of the platform's core services, including gateway capabilities, store-and-forward messaging, observability and operational tooling. AI-assisted development is widely used, with engineers focusing on architecture, governance, validation and technical assurance.

Your First 90 Days

• Integrate a previously unseen data source into the test environment within 48 hours.
• Support a fully reproducible release process, including offline build verification and seamless credential rotation under live traffic.

Key Responsibilities

• Contribute to platform architecture and capture decisions through ADRs, interface contracts and automated testing.
• Define and validate standards for secure service communication and interoperability.
• Review, validate and assure code and artefacts generated through AI-assisted engineering workflows.
• Own the reliability, security and maintainability of platform components.

Areas You Will Lead and Review

Software Engineering

• Go development with a standard library-first approach.
• Strong emphasis on modular architecture and clear dependency boundaries.
• API gateway integration and extension using gRPC and policy-driven controls.

Security & Identity

• Public Key Infrastructure (PKI), X.509 certificates and mutual TLS.
• JWT-based authentication and JWKS management.
• Cryptographic key rotation in live environments.
• Offline verification of signed configurations and artefacts.

Access Control & Policy

• Attribute-based access control (ABAC).
• Identity federation and claims resolution across multiple identity providers.
• Helm chart development with documented configuration contracts.
• Deployments across managed Kubernetes, edge Kubernetes and sovereign cloud environments.
• Infrastructure-as-Code using Terraform or OpenTofu.

Testing & Quality

• Multi-layer automated testing strategies.
• Conformance, resilience and release-gate validation.
• Testing in degraded and disconnected network conditions.
• Reproducible and hermetic build processes.

Observability

• OpenTelemetry-compatible metrics, logs and tracing.
• Operational insight and performance monitoring across distributed systems.

Delivery

• CI/CD pipelines with Git as the sole source of change.
• Secure identity federation for workload authentication.

Ways of Working

• Architectural decisions are documented and reviewed with peers before implementation.
• Modern AI-assisted engineering practices are embedded throughout the development lifecycle.
• GitOps and automation-first delivery principles.

About You

• Active SC Clearance or eligibility to obtain it.
• Strong commercial experience building Go applications on Kubernetes.
• Experience operating within regulated, security-conscious or customer-controlled environments.
• Ability to balance architectural thinking with hands-on delivery.
• Experience with API gateways and service mesh technologies.
• Exposure to disconnected, edge or distributed systems.
• Experience working with secure cloud environments and infrastructure automation.
• Knowledge of observability frameworks and modern platform engineering practices.