Platform Engineer

Lynx Asset Management AB; Stockholms kommun; On-site; SEK 520,000 - 680,000; Full time

Job summary

Lynx Asset Management is seeking a curious and motivated Platform Engineer at the early stage of their career to join our cloud, AI and observability initiatives in Stockholm.

You'll help develop and maintain platforms that support quantitative investment research, development and operations, spanning AWS, Kubernetes, IAM, IaC and data infrastructure for AI use cases like RAG and embeddings. You will learn across the stack and collaborate with research, development and operations teams.

Qualifications

• Programming skills in Python or similar.
• Good understanding of software engineering fundamentals.
• Hands-on experience with AI tools such as Claude Code or Codex.
• Interest in cloud infrastructure and AI.

Responsibilities

• As a Platform Engineer at Lynx, you will help develop and maintain the technology platforms that support our quantitative investment research, development and operations.
• The role is broad, spanning AWS, observability and AI, with a particular focus on our AI platform. We are building common infrastructure that enables teams to develop and run AI applications, from early experiments to production. This includes LLM access, agent runtimes, MCP servers, evaluations, guardrails and observability, as well as data infrastructure for AI use cases such as RAG and embeddings.
• You will also work with our AWS environment, including Kubernetes, IAM, infrastructure as code, networking and security as well as observability tools that help teams monitor and understand our systems in production.
• An important part of the role is working with and supporting other teams, helping them use the platforms and tools we provide, solve problems together and improve the platform based on what they need.
• You won't be expected to know all of this from day one. We are looking for someone who wants to learn, take on more responsibility over time and work across different parts of our technology stack.

Skills

Python

Software fundamentals

AI tools (Claude Code or Codex)

Cloud infrastructure & AI interest

Tools

Kubernetes

Infrastructure as Code

CI/CD tooling

LLM APIs (OpenAI/Anthropic/AWS Bedrock)

Job description

Who we are looking for

We are looking for a curious and motivated platform engineer at the beginning of their career, with an interest in cloud infrastructure, observability and AI.

You have a good technical foundation, strong drive and the potential to grow quickly, and enjoy understanding how things work. You are not expected to have experience in all the areas below. You will work alongside experienced engineers and with teams across research, development, and operations. You enjoy helping others and making technology easier to use. As you gain experience, you will take on more responsibility for the platforms and infrastructure we build.

We also place great importance on personal qualities. We look for people who share our core values: professionalism, humility, generosity and curiosity. For this role, we particularly value curiosity, initiative and a genuine interest in technology.

Required:

• Programming skills in Python or similar
• Good understanding of software engineering fundamentals
• Hands-on experience with AI tools such as Claude Code or Codex
• Interest in cloud infrastructure and AI

Meriting (experience/familiarity with):

• AWS or another cloud platform
• Kubernetes and infrastructure as code
• CI/CD, monitoring and observability
• LLM APIs such as OpenAI, Anthropic or AWS Bedrock
• RAG, embeddings, tool calling, MCP or agentic applications

You are fluent in English and have the right to work in Sweden.

About the role

As a Platform Engineer at Lynx, you will help develop and maintain the technology platforms that support our quantitative investment research, development and operations.

The role is broad, spanning AWS, observability and AI, with a particular focus on our AI platform. We are building common infrastructure that enables teams to develop and run AI applications, from early experiments to production. This includes LLM access, agent runtimes, MCP servers, evaluations, guardrails and observability, as well as data infrastructure for AI use cases such as RAG and embeddings.

You will also work with our AWS environment, including Kubernetes, IAM, infrastructure as code, networking and security as well as observability tools that help teams monitor and understand our systems in production.

An important part of the role is working with and supporting other teams, helping them use the platforms and tools we provide, solve problems together and improve the platform based on what they need.

You won't be expected to know all of this from day one. We are looking for someone who wants to learn, take on more responsibility over time and work across different parts of our technology stack.

About us

Lynx Asset Management is a quantitative asset manager of around 100 people, based in Stockholm. We apply scientific methods to create systematic investment strategies aimed at providing our clients with high risk-adjusted returns and attractive portfolio characteristics. Innovation has been part of our DNA since we were founded in 1999.

At Lynx, we have created a workplace where academic methods and a focus on results are supported by a friendly, collegial culture. The well-being of our employees is important to us, as they are the ones who make our success possible. Lynx actively strives to be an inclusive workplace, and we see diversity as a prerequisite for future success.

When applying, we'd also like to hear briefly about a project you've built or worked on that you found interesting. It could be a personal project, something from your studies or something you've done at work. It doesn't need to be large or polished. We're simply curious about what you chose to build and why.