Senior Software Engineer, Agentic AI, Agentic Engineering

Kipu Quantum

. Design, build, and run backend services, APIs, and frontends of the Kipu Quantum Hub in a cloud-native Kubernetes architecture on the public cloud .

Posted 11/6/2026full-timeRemote • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building cloud-native backend services and APIs, with a strong focus on software architecture, code quality, and automated testing. Proficient in collaborating with cross-functional teams, including quantum physicists and data scientists, to enhance product reliability and efficiency.

Highest-signal resume keywords

Cloud-Based Product DevelopmentJava, TypeScript, Or Python ProficiencyKubernetes ExperienceAPI Design And Software ArchitectureLLM-Based Application Development

ATS Keywords

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Hard Skills

Software EngineeringCloud-Native ArchitectureMicroservicesAutomated TestingContinuous Integration/Continuous Delivery (CI/CD)API DesignReliability EngineeringLLM EvaluationCost ControlDistributed Systems

Soft Skills

CollaborationFeedbackCuriosity

Tools & Technologies

KubernetesContainersPublic Cloud PlatformsModel Context Protocol (MCP)

Certifications & Qualifications

Degree In Computer Science Or Related Field

Industry Keywords

Quantum ComputingDeep-TechResearch EnvironmentsAI Coding Agents

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaKubernetesMicroservicesPythonTypeScript

About the role

Key responsibilities & impact

Design, build, and run backend services, APIs, and frontends of the Kipu Quantum Hub in a cloud-native Kubernetes architecture on the public cloud
Make architecture decisions for distributed systems, including microservices, asynchronous messaging, and API design
Keep the system easy to change
Help ship small changes to production frequently and safely through automated tests and CI/CD
Develop product agents and improve their reliability through evaluations, monitoring, and cost control
Build interfaces such as MCP so LLMs can work safely with APIs, quantum services, and hardware backends
Help make AI coding agents a productive and reliable part of the software development process
Collaborate with quantum physicists and data scientists
Support team growth through pairing and feedback

Requirements

What you’ll need

At least 5 years of professional software engineering experience, ideally building cloud-based products
A degree in computer science or a related field, or equivalent practical experience
Strong skills in at least one of Java, TypeScript, or Python
Willingness to work across the stack
Experience with containers and a major cloud provider
Kubernetes is a plus
Good understanding of software architecture and API design
Strong focus on code quality, automated testing, and continuous delivery
Excellent English and German skills
Experience building LLM-based applications, such as with RAG, tool use, or an agent framework
Use of AI coding agents in daily work and understanding of where they help and need guardrails
Experience with the Model Context Protocol (MCP) is a nice to have
Experience evaluating LLM or agent quality is a nice to have
Some exposure to quantum computing or other deep-tech and research environments is a nice to have
Quantum knowledge is not required; curiosity about it is expected

Benefits

Comp & perks

Flexible working hours
Option to work remotely
Contributions toward public transport or shopping vouchers
30 vacation days