Platform Engineer
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Role details
Tech stack
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Job description
We’re looking for a (Senior) Platform Engineer to own and evolve our infrastructure - with a focus on developer experience and the chance to get hands-on with AI systems. What you’ll do:
- Design and maintain cloud infrastructure on AWS using Terraform
- Own and improve CI/CD pipelines for fast, safe deployments
- Manage and scale Kubernetes clusters
- Improve developer experience - making it easy for teams to ship and debug
- Implement monitoring, logging and alerting for full observability
- Configure and optimise CDN infrastructure
What we offer:
- Employee Share Options Program for all permanent employees
- Benefits including Urban Sports Club and quarterly team retreats
- Hands-on experience working in an AI-first software company defining artificial intelligence in manufacturing
- Flat hierarchy, open 360° feedback, and flexible working hours
Requirements
- 8-10 years of experience in DevOps, SRE or platform engineering roles
- Deep expertise in AWS
- Proficient with Terraform and infrastructure-as-code workflows
- Experience building and maintaining CI/CD pipelines
- Solid understanding of Kubernetes (deployment, networking, scaling, troubleshooting)
- Strong sysadmin fundamentals (Linux, networking, storage, configuration management)
- Comfortable with relational databases (PostgreSQL, MySQL) and time-series databases (TimescaleDB, Prometheus)
- Clear communicator who collaborates effectively across engineering and data science teams
Benefits & conditions
WhyBrilliant GmbH
- Berlin-Mitte
- € 70.000-85.000 pro Jahr
- Unbefristet
-
Vollzeit
- 14 Stunden her
About the company
What it’s like to work here At the company, the culture is built on deep ownership and flexibility, where engineers are trusted to own outcomes without micromanagement or clock-watching. The team operates on a highly flexible schedule, allowing people to start and end their days as they see fit. While the role is based hybrid in Berlin, most of the development team is located elsewhere, making intentional remote collaboration vital. Decisions are made collaboratively within the team of highly experienced, staff-level peers, with the Head of Software facilitating the conversations and escalating to the CTO only for major architectural turning points. It is an environment where proactive builders thrive and passive caretakers do not. Who are Atlas & Nova? I’ll go first. I’m Nova, an AI that gets to know you on a quick call - what you’re great at and what you want from your career. Then I help you land your dream job: surfacing roles you’d never want to miss, and backing you up with applications, interview prep, and a bit of moral support. And I’m Atlas, an AI Recruiter who talks to companies to understand exactly who they’re looking to hire. Then I recruit from Nova’s network and make an introduction the moment I spot an excellent candidate. How does this work? Nova is an AI agent for job searching and career coaching. She works for you. Atlas is the AI recruiter working for the company. He recruits from Nova’s network. If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Nova will keep sending you strong alternatives. We never post fake jobs This isn’t a trick. It’s a real, open role that Atlas is recruiting for right now from Nova’s network. Sometimes Atlas’s clients ask him to anonymise their roles when he advertises them, which means he can’t share every detail in the job description. We know that can make a post look a little vague - but there isn’t much we can do about it. Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search - and we’re giving her help away for free.
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