Customer Reliability Engineer, deepset

Salary not provided

+ Stock options

Kubernetes

Python

Bash

Linux

Terraform

ELK

Prometheus

Grafana

Senior and Expert level

Berlin

More information about location

Build custom AI and LLM applications

Open for applications

Build custom AI and LLM applications

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSAPICloud Computing

Open for applications

Salary not provided

+ Stock options

Kubernetes

Python

Bash

Linux

Terraform

ELK

Prometheus

Grafana

Senior and Expert level

Berlin

More information about location

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSAPICloud Computing

Company mission

To make custom AI solutions accessible to every organisation, driving adoption and impact.

Job

Company

Role

Who you are

Hands on experience in programming language in Python (needed for improvements, bug fixing and small feature builds)
5+ years across SRE/Platform/Solutions/FDE, with evidence of shipping customer-facing builds and operating production systems
Strong with Kubernetes, containers, Linux, IaC (Terraform/Helm), CI/CD, networking (TLS, DNS, ingress/LB), backup/restore
Observability stacks (Prometheus/Grafana/OpenTelemetry/ELK); scripting (Python/Bash)
Enterprise integration experience (SSO, secrets, compliance); confident communicator with execs and engineers under time pressure
Must be resident of the European Union with an EU Passport

Desirable

German language skills

What the job involves

Own technical outcomes from POC → production: integrations, data connectors, workflows, and infra-as-code (Kubernetes/Terraform/Helm)
Produce reference architectures and reusable templates; upstream patterns to Product to reduce future “custom” work
Unblock enterprise environments: identity (OIDC/SAML), networking, storage, GPU scheduling, observability hooks
Define SLOs/Error Budgets with customers; implement end-to-end observability (logs/metrics/traces) and dashboards
Create runbooks/playbooks; lead L3 incident response and RCAs; drive reliability roadmaps to closure
Plan/execute upgrades and security patches in change windows; ensure rollback and post-upgrade verification
Be an active member of the on-call rotation to make sure we deliver excellent customer experience
Train customer teams on operations and emergency procedures; hand off cleanly to Support/CSM
Prioritize reliability and “productization” backlog with Product/Engineering based on field signal
Document clearly: setup guides, diagrams, SLOs, testing/DR procedures, and “golden path” standards

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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