Platform Engineer

Key Responsibilities

Design, build and maintain reliable, testable, production-quality software

Develop APIs, services and automation that support engineering and business workflows

Contribute to cloud-native applications and internal platform capabilities

Build integrations between applications, APIs, developer tooling and external services

Develop and maintain automated delivery through CI/CD pipelines

Work with engineers to design reusable capabilities that can be consumed by other teams

Contribute to AI-enabled solutions including LLM integrations, RAG, agentic workflows and supporting services where relevant

Apply good engineering practices across testing, observability, security, reliability and maintainability

Participate in technical design, problem-solving and architecture discussions

Learn new technologies and contribute across different parts of the engineering stack as the platform evolves

Required Skills & Experience

Strong software engineering fundamentals and an ability to write clean, maintainable and testable code

Experience in at least one modern programming language, with Python particularly relevant

Experience building backend services, APIs, applications or automation

Understanding of software design principles, testing and production engineering practices

Experience working with Git and modern software delivery practices

Exposure to CI/CD and automated deployment

Understanding of cloud-native application and infrastructure concepts

Ability to diagnose problems, work through technical ambiguity and contribute effectively within an engineering team

Genuine interest in AI, platform engineering and modern developer tooling

Areas of Technical Strength

AI & Software Engineering

Python application or service development

LLM integrations and APIs

Retrieval-Augmented Generation (RAG)

Agentic workflows and tool integration

Building or integrating RESTful APIs

Workflow automation or orchestration

Experience taking AI-enabled capabilities into working applications or production services

Platform & Cloud Engineering

Building reusable services, automation or internal capabilities for engineering teams

Cloud platforms such as Azure, AWS or GCP

Containers and Kubernetes

Infrastructure as Code, including Terraform

CI/CD platforms such as GitHub Actions, Azure DevOps, GitLab or Jenkins

Observability, deployment automation and production operations

Full-Stack Engineering

Strong backend and API development

Modern frontend frameworks such as React, Vue or similar

Building user-facing applications that integrate with backend services and APIs

Experience working across application, automation and cloud environments

Strong Advantage

Hands-on experience with LLM-powered applications or agentic systems

Experience with MCP or other tool-serving and integration patterns

Exposure to AI development frameworks such as LangChain, LlamaIndex or equivalent

Experience with Azure OpenAI, Google Vertex AI or comparable AI services

Kubernetes or Terraform experience

Experience building developer platforms, internal tooling or self-service engineering capabilities

GitHub or GitLab API and workflow automation experience

Understanding of how software and AI systems are deployed, monitored and operated in production

What We’re Looking For

Strong candidates will bring depth in at least one relevant engineering area, supported by solid software engineering fundamentals and the ability to contribute across adjacent technologies.

You should be curious, comfortable learning unfamiliar technologies and keen to develop deeper capability in AI and modern platform engineering