Senior Platform Engineer - AI (Java or GO)

• Role:

  Senior Platform Engineer - AI, Consultant

• Start Date:

  ASAP/August

• Number of Consultants: 3

• Assignment Duration:

  Until end of the year

• Location: Hybrid setup from Stockholm

Project & Environment Overview

We are building the foundations for an AI-native software development lifecycle

, where engineering teams can safely delegate meaningful work to AI agents within clear governance, compliance, and auditability boundaries.

The team owns key parts of the internal developer experience, including AI platform capabilities, developer productivity tooling, platform compliance, and self-service workflows for engineering teams.

This is a fast-moving and exploratory environment. Priorities and technical direction may evolve as we learn, validate, and ship. We are looking for a senior engineer who is highly self-driven, comfortable with ambiguity, and able to turn unclear problems into practical platform capabilities.

Profile & Requirements

Required

• Senior platform engineering experience:

  5+ years of software, platform, DevEx, or infrastructure engineering experience.

• Strong backend engineering skills:

  High proficiency in Java/Spring Boot or Go

  .

• Cloud-native platform experience:

  Hands-on experience with AWS, EKS/Kubernetes

  , service deployment, observability, and production-grade infrastructure.

• CI/CD expertise:

  Strong experience designing and automating pipelines, preferably with GitHub Actions

  .

• Developer experience mindset:

  Ability to identify engineering friction and build practical self-service solutions that improve speed, quality, and reliability.

• Strong communication skills:

  Comfortable presenting technical solutions, running demos, and driving adoption across engineering teams.

Highly Valuable

• Hands-on experience with LLMs

  , AI-assisted development, or agentic engineering workflows.

• Experience building or integrating multi-agent orchestration systems

  .

• Experience with Model Context Protocol (MCP)

  servers, tools, or similar integration patterns.

• Experience working in regulated environments with auditability, compliance, security, and cost-control requirements.

Responsibilities & Deliverables

You will build and deliver functional platform capabilities directly used by internal engineering teams.

• AI Agent Platform:

  Build secure, production-grade platform capabilities that allow teams to delegate engineering tasks to AI agents in a controlled and observable way.

• Agent Governance & Auditability:

  Implement traceability, approval flows, audit logs, cost attribution, token/API spend tracking, and operational guardrails.

• AI-Native CI/CD Automation:

  Improve GitHub Actions pipelines and integrate compliance and quality checks suitable for both human-written and agent-generated code.

• Developer Experience Improvements:

  Work closely with product engineering teams to identify daily blockers and turn them into self-service tools, templates, workflows, or platform features.

• Internal Adoption:

  Lead demos, workshops, and technical walkthroughs to help engineers understand and adopt new AI platform capabilities.