Senior DevOps Engineer, deepset
+ Employee stock option plan
Build custom AI and LLM applications
Job no longer available
Build custom AI and LLM applications
21-100 employees
Job no longer available
+ Employee stock option plan
21-100 employees
Company mission
To make custom AI solutions accessible to every organisation, driving adoption and impact.
Role
Who you are
- 5+ years experience of working with large scale production infrastructure
- Experience in designing & building service-oriented architectures
- Proficient with AWS, Kubernetes, GitOps (ArgoCD) and CI/CD
- Experience operating solutions deployed on customers premises (private cloud and om-prem)
- Working knowledge of Infrastructure as Code, preferably Terraform and Crossplane
- Familiarity with Machine Learning/LLM or the motivation to learn about it
- Pragmatism, troubleshooting skills, sense of responsibility, and independent work style
What the job involves
- As a Senior DevOps Engineer at deepset, you will play a key role in the success of our end-to-end LLM platform
- Your focus will be on ensuring high performance, security, and availability to meet the needs of our enterprise customers
- You will collaborate closely with our engineering teams, developing automation and cloud infrastructure tooling while building the foundation that empowers our customers to succeed with our AI solutions
- You will solve performance and scalability challenges to support enterprise-ready LLM applications
- You will be responsible for CI/CD and building tools to improve software development and deployment processes
- You will implement monitoring and alerting strategies to guarantee service availability and optimal performance
- You will collaborate with engineers on firefighting, maintaining pipelines, managing GitHub workflows, troubleshooting issues, and driving improvements
- You will work configuring infrastructure for both SaaS and on-prem solutions while engaging with infrastructure clients’ teams
- You will reinforce best practices within the organization to improve the reliability, scalability, and security of our software
Our take
Natural Language Processing (NLP) is at the core of many modern enterprise data processing workflows, from complex data processes to customer service chatbots. However, NLP systems are not one-size-fits-all, and the development and deployment of bespoke NLP systems require the niche and expensive help of programmers with expertise in machine learning and semantic syntax.
Deepset provides an open-source API-driven framework called Haystack for the quick and efficient development of production-ready NLP systems. The company's goal is to make modern NLP as easy as possible to apply in a practical and scalable way, and states major use cases of its API for automated data analysis, customer satisfaction, fraud monitoring, and regulatory actions.
Whilst NLP has been implemented by many enterprises such as Amazon AWS and Microsoft, options for companies without dedicated AI experts have been limited, making Deepset's open-source approach highly beneficial to many industries. Lately, the company has introduced custom AI agent solution architecture, which will enable companies to deploy AI agents across cloud and on-premise environments.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Aug 2023
$30m
EARLY VC
Apr 2022
$14m
SERIES A
Total funding: $45.6m
Company benefits
- Ownership: Join as an owner with employee stock options - you're building your future here
- Wellbeing: Health, dental, and vision coverage, plus retirement plans in specific locations
- Connection: Remote and in-office collaboration, plus a home office budget and tech setup
- Growth: Support for learning, conference opportunities, and professional development
- Community: Team gatherings and global events to build strong connections, virtually and in-person
Company HQ
Mitte, Berlin, Germany
Leadership
Milos Rusic
(Co-Founder & CEO)Experience as Director of Market Development for KONUX from 2016 to 2018.
Malte Pietsch
(Co-Founder & CTO)Experience as Data Scientist for plista from 2016 to 2018.
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