Principle Pride
Website:
principlepride.com
Job details:
Software engineering & delivery
Design, build, test, and maintain backend services, APIs, and automation used by cyber
engineering and data teams.
Apply good engineering practices: design patterns, SOLID principles, pragmatic architecture,
and strong code quality.
Contribute to development, we have a lot of Go and Python (previous experience helpful but not
required; willingness to learn is essential).
Write clear technical documentation and support knowledge sharing across the team.
Platform, cloud & infrastructure as code
Build and operate cloud-based solutions on AWS or Azure, understanding core services and
how to use them securely and efficiently.
Use Terraform to provision and maintain infrastructure, including networking components and
access controls.
Work with cloud networking concepts (e.g., VPC/VNet, subnets, routing, security groups/NSGs,
private connectivity, DNS).
DevOps & operational excellence
Build and maintain CI/CD pipelines using “pipeline as code” approaches, improving reliability,
repeatability, and auditability.
Configure and operate build/deployment agents/runners and associated tooling.
Implement secure secrets handling in pipelines (e.g., vault/managed secrets, rotation concepts,
avoiding secret leakage).
Support production operations where needed: monitoring, alerting, troubleshooting, and
continuous improvement.
Initial focus / day-to-day (first phase)
Manage and optimise API demand and onboarding for the cyber data lake through Kong (API
gateway), including access patterns, standards, and operational support.
Automate workflows across DevOps tooling and change/request processes, reducing manual
effort and improving control and traceability.
Required skills and experience
Strong programming experience in at least one major language (e.g., Java, C#/.NET, Python),
with the ability to pick up new languages quickly.
Hands-on experience applying common engineering best practices (design patterns, SOLID,
refactoring, code reviews).
Working knowledge of modern testing approaches such as TDD/BDD, and building testable
services.
Cloud experience in AWS or Azure, with a practical understanding of core offerings and how to
use them in production.
Infrastructure as Code experience with Terraform (modules, state, plan/apply workflow,
environment separation).
Strong DevOps experience: CI/CD, pipeline-as-code, agents/runners, artefact management,
and operational hygiene.
Understanding of secrets management concepts in pipelines and deployments.
Comfortable working in a security-focused environment with a strong appreciation for control,
auditability, and risk management.
Desirable (nice to have)
Experience with API gateways (especially Kong), API lifecycle management, and API security
patterns (authN/authZ, rate limiting, mTLS, OAuth2/JWT concepts).
Experience building platforms/services that support data engineering teams (e.g., ingestion
services, metadata, access patterns, developer enablement).
Familiarity with big data ecosystems – particularly data bricks/spark (e.g., data lakes, distributed
compute, streaming) and observability practices.
Prior exposure to cyber/security engineering domains (useful, not required).
Lots of cloud engineering experience
Serious ownership of Devops Pipelines
Ways of working / behaviours
Has a point of view on “good engineering” and can explain trade-offs clearly and respectfully.
Collaborates well across cyber, data engineering, and platform teams to get outcomes
delivered.
Takes responsibility for quality, security, and operability—build it, run it, improve it.
Click on Apply to know more.
