Senior Platform Engineer, Workist
€80-100k
AI-driven business process automation
Be an early applicant
AI-driven business process automation
21-100 employees
Be an early applicant
€80-100k
21-100 employees
Company mission
Workist's mission is to automate repetitive business processes, giving them more time to scale the business that they love.
Role
Who you are
- We're looking for a professional team player who thrives in an environment where we share knowledge openly and push each other to deliver the best possible outcome
- You have run production infrastructure for years, ideally as the person who owned it end to end rather than one of many in a large ops team
- Kubernetes and Terraform in production: cluster upgrades, Helm, GitOps, and infrastructure as code for a whole cloud estate
- Production experience on Azure or AWS. Most of our estate is Azure, so an AWS background works if you are willing to go deep on Azure
- Active Python skills: you read and debug a Python codebase and fix the application when the application is what is broken
- Security as a habit: you have run patch management, handled pentest findings and designed least-privilege access, and you prioritise findings pragmatically
- You write clearly: runbooks, incident write-ups and architecture decisions that others can follow
- Fluent English (engineering runs in English, so German is not required, though it can help in some customer and vendor conversations)
What the job involves
- As Senior Platform Engineer, you own the platform that Workist's AI agents run on: two clouds, the Kubernetes clusters for production, staging and ML workloads, and the path from merge request to production for every service we ship
- You decide how this platform evolves, you keep it secure, observable and cost-efficient, and you extend it as the product grows
- Most recently that meant an LLM gateway with region failover in front of our Azure OpenAI deployments, and performing GPU capacity planning for our own models
- You set your own roadmap
- Infrastructure at Workist is run as quarterly themes that you propose, make the case for and deliver, and roughly a third of your time goes to whatever the week brings: an incident, a pentest finding, a developer whose deployment is stuck and needs a second pair of eyes
- You report to our CTO and are the voice of the platform in engineering decisions
- Everything runs on Kubernetes (Azure AKS), deployed with Helm and GitOps/Flux. All infrastructure is Terraform, applied through CI
- CI/CD for every service on GitLab
- Managed services wherever they keep life simple: Postgres, OpenSearch, Redis, blob storage. We self-host only where it clearly pays off
- Two clouds: Azure as our primary cloud, AWS for search and mail ingestion
- Python everywhere: read and fix application code when that is where the fix belongs
- Security is routine: automated scanning in every pipeline, regular external pentests, quarterly backup and disaster-recovery tests
- Own the architecture of our cloud environments across Azure and AWS: how subscriptions, networks, identities and environments are structured and stay isolated
- Design and deliver the platform capabilities the product needs next, from GPU capacity and an LLM gateway to new environments
- Set the standard for how we run Kubernetes and our managed data services: capacity planned ahead of growth, changes and upgrades rolled out safely and routinely, costs kept in check
- Own the security posture end to end: least-privilege access, network isolation, findings from scanners and pentests, and a patch cadence that runs itself. Be a technical counterpart for audits and security questionnaires
- Own observability and alerting so that every alert is worth acting on, and lead the response to platform incidents including the follow-up fixes
- Run quarterly backup/restore and disaster-recovery tests, and close what they reveal
- Own the path from merge request to production: fast builds, reliable deployments, environments and access on demand
- Build the infrastructure behind our AI models: the LLM gateway, model deployments with region failover, GPU capacity, and whatever the next model needs
Our take
Many retail and e-Commerce businesses depend on making orders through purchase order documents that they receive. Workers must manually copy data from these order sheets, double-check that it is correct, and then transfer this to an ERP or CRM system, a process that is repetitive, time-consuming, and prone to human error.
Workist provides an AI-driven business process automation tool with a focus on extracting, validating, and transferring data from purchase orders, saving businesses time and preventing expensive order mistakes. The company uses AI to process many formats of digital documents, recognize the layout and extract data accordingly, validate it to ensure 100% accuracy, and transfer it to the relevant systems.
Several other tech startups leverage AI to automate document processing, but Workist has found a gap in the market by focusing specifically on purchase order sheets, a process that is prone to expensive errors and unnecessarily repetitive workflows. The company claims that it will reduce the time spent on each order by four hours, reducing errors by 80% and saving up to $300K per year. It's clearly reaping results, having received significant funding from investors and incubator initiatives since 2019.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2022
$10.2m
SERIES A
Aug 2020
$2.8m
SEED
Total funding: $13.5m
Company benefits
- Through strong personal responsibility from day one, you will actively shape a SaaS startup in the early phase
- 30 days annual leave
- BVG ticket or JobRad for the way to work
- Annual budget for personal development
- Tools of your choice
- Flexible home office plan and the opportunity to work completely remotely outside of Germany for 4 weeks a year
- Regular team events, fresh fruit and drinks in our modern office in Berlin Mitte
- Competitive salary, detailed individual feedback discussions and great development opportunities
- Working in a flat hierarchy with an open and transparent culture of communication
- Participation in the (Virtual) Stock Option Plan
Company HQ
Mitte, Berlin, Germany
Leadership
Alexander Müller
(Managing Director & Co-Founder)Experience as Lead Data Scientist for KUBIKx. Founder and Board Member of Hackerstolz since 2015. Co-foudned Workist in 2019 as Managing Director.
Tim Wegner
(Managing Director & Co-Founder)Experience as Founder and CEO of Minodes (Telefónica) from 2013 to 2017. Co-founded Workist in 2019 as Managing Director.
Fabian Brosig
(CTO & Co-Founder)Experience as CTO for Minodes (Telefónica) from 2015 to 2019. Co-founded Workist in 2019 as CTO.
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