CrawlJobs Logo

Senior Agent-to-Agent and Model Context Protocol Developer

United States, North Charleston Employment contract 136850.00 - 197800.00 USD / Year · Job Posted May 29, 2026
Apply Position
Job Link Share

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Agentic Artificial Intelligence (AI) team within Boeing’s Enterprise Artificial Intelligence & Data Organization is seeking a Senior Agent-to-Agent and Model Context Protocol Developer to join us in North Charleston, SC; Hazelwood, MO; Tukwila, WA; Chicago, IL; Arlington, VA; Colorado Springs, CO; or Dallas, TX. We are looking for agents to securely act across enterprise systems and workflows. This role will focus on designing and building the technical integrations, service interfaces, and control patterns that allow AI agents to communicate with one another and interact safely with Boeing systems, data, and enterprise applications. Working closely with architects, developers, security partners, and business stakeholders, this individual will help turn agentic AI concepts into dependable, production-ready capabilities.This position requires strong software development skills, a solid understanding of enterprise integration, and the ability to work in fast-paced, short-duration engagements. The Developer will contribute to the implementation of agent interaction patterns, context exchange mechanisms, and tool connectivity approaches that support secure, governed execution across systems. The work will involve building and testing complex code, supporting application design decisions, resolving technical issues, and ensuring solutions align with enterprise requirements for security, reliability, and maintainability. This is a hands-on technical role suited for someone who enjoys solving complex integration challenges and helping build the connective tissue that allows agentic AI to operate effectively across Boeing’s digital environment.

Job Responsibility

  • Design, code, test, and implement software components that enable secure agent-to-agent communication and enterprise system interaction
  • Build integrations that support Model Context Protocol-based connectivity between agents, tools, and enterprise services
  • Analyze business and technical requirements to define secure and reliable agent interaction patterns
  • Develop application logic, APIs, and supporting components for agent orchestration and enterprise workflow execution
  • Troubleshoot and resolve complex programming, integration, and application design issues
  • Collaborate with architects and security partners to ensure solutions meet enterprise standards for access, control, and auditability
  • Modify and enhance existing applications to support agentic AI capabilities and enterprise interoperability
  • Document code, integration patterns, and technical solutions for maintainability and handoff
  • Recommend improvements to system architecture, integration design, and development practices

Requirements

  • 5+ years of experience in software/application development process, including productionizing and deployment
  • 5+ years of experience with Cloud native development
  • 5+ years of experience with application integration, APIs and Microservices
  • 5+ years of experience with system architecture

Nice to have

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Computer Information Systems or a closely related field
  • Experience with agentic AI systems, agent orchestration, or secure AI workflow design
  • Experience with Agent-to-Agent communication patterns or Model Context Protocol implementations
  • Experience building integrations across enterprise applications, cloud services, or APIs
  • Experience with secure access patterns, identity management, or authorization frameworks
  • Experience working in agile delivery environments with frequent prioritization changes
  • Experience supporting enterprise-scale systems in a complex organizational environment
  • Strong troubleshooting skills in application, integration, or runtime issues
  • Experience with modern programming languages and software development frameworks
  • Experience with production support, deployment processes, and software documentation practices
  • Experience with strong collaboration skills with technical and non-technical stakeholders

What we offer

  • Health insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life and disability insurance programs
  • programs that provide for both paid and unpaid time away from work
  • Generous company match to your 401(k)
  • Industry-leading tuition assistance program pays your institution directly
  • Fertility, adoption, and surrogacy benefits
  • Up to $10,000 gift match when you support your favorite nonprofit organizations

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Agent-to-Agent and Model Context Protocol Developer

8 matching positions

Senior Agentic AI Developer

Senior Agentic AI Developer to build production-grade autonomous agents and orch...
Location
Location
United States , San Francisco
Salary
Salary:
156000.00 - 234000.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems
  • Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
  • Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
  • Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
  • Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
  • Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
  • Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
  • Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
  • Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
  • Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices
Job Responsibility
Job Responsibility
  • Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
  • Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
  • Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
  • Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
  • Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
  • Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
  • Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
  • Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
  • Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
  • Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems
What we offer
What we offer
  • Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
  • Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
  • Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
  • Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
  • Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
  • Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
  • Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
  • Community Engagement: Make a difference through our volunteering program
  • Fulltime
Read More
Arrow Right

Senior Agentic AI Developer

Build production-grade autonomous agents and orchestration systems that reshape ...
Location
Location
Argentina , Buenos Aires
Salary
Salary:
Not provided
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years in software engineering
  • 3+ years hands-on building production-grade AI/ML systems
  • Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
  • Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
  • Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
  • Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
  • Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
  • Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
  • Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
  • Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
Job Responsibility
Job Responsibility
  • Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
  • Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
  • Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
  • Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
  • Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
  • Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
  • Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
  • Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
  • Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
  • Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems
What we offer
What we offer
  • Competitive pay
  • Comprehensive healthcare benefits
  • Financial assistance for things like hybrid work, family planning
  • Generous parental leave
  • Flexible time-off policies
  • Mental health and wellness resources
  • Learning, development, and recognition programs
Read More
Arrow Right

Senior AI Engineer

HPE Galway are seeking a highly skilled Senior AI Engineer to join our growing A...
Location
Location
Ireland , Galway
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, AI/ML or related technology
  • Minimum of 8+ years of work experience in cloud based and/or open source software development
  • 3+ years of experience in AI/ML engineering with a focus on LLMs and knowledge retrieval systems
  • Strong hands-on experience with LLM frameworks: LangChain, LangGraph, PydanticAI, or similar
  • Proven experience implementing RAG systems and vector databases (PostgreSQL with pgvector, Pinecone, FAISS, Weaviate, Chroma)
  • Proficiency in Python with deep knowledge of ML libraries (PyTorch, TensorFlow, Transformers)
  • Experience with Model Context Protocol (MCP) server development and deployment
  • Understanding of Google ADK and A2A protocol implementations
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services
  • Experience with prompt engineering, fine-tuning, and LLM optimization techniques
Job Responsibility
Job Responsibility
  • Design and develop AI-driven applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), and Graph RAG architectures
  • Implement and optimize RAG techniques for improved knowledge retrieval and contextual reasoning
  • Build and maintain graph-based AI solutions using modern frameworks like LangGraph, PydanticAI, and LangChain
  • Develop and deploy Model Context Protocol (MCP) servers for seamless data integration across various sources
  • Design scalable vector database solutions using Pinecone, Weaviate, or similar technologies
  • Integrate Google Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocols for multi-agent workflows
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions
  • Maintain high code quality standards and implement comprehensive testing strategies
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...
Location
Location
Germany , Leipzig
Salary
Salary:
Not provided
staffbase.com Logo
Staffbase
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional experience in backend software development
  • Strong proficiency in Golang and preferably Java/Kotlin
  • Proven experience integrating various AI/ML models into production backend systems
  • Practical experience with prompt engineering
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
  • Experience building backend systems designed for complex agentic workflows or long-running conversational states
  • Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
  • Practical experience developing or managing MCP servers (Managing Conversational Protocols)
  • Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
  • Experience with event-driven architecture and message queues (e.g. Kafka)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
  • Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
  • Implement model integration patterns to connect and orchestrate various external and internal services
  • Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
  • Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
  • Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
  • Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
  • Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
  • Ensure the security, reliability, and performance of all production systems
  • Participate in code reviews, architectural discussions, and technical strategy planning
What we offer
What we offer
  • Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
  • Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
  • Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
  • Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
  • Support - we’re offering a company pension scheme
  • Volunteers Day - you’ll get one day off per year for supporting a social project
Read More
Arrow Right

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...
Location
Location
Germany , Dresden
Salary
Salary:
Not provided
staffbase.com Logo
Staffbase
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional experience in backend software development
  • Strong proficiency in Golang and preferably Java/Kotlin
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
  • Experience building backend systems designed for complex agentic workflows or long-running conversational states
  • Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
  • Practical experience developing or managing MCP servers (Managing Conversational Protocols)
  • Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
  • Experience with event-driven architecture and message queues (e.g. Kafka)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
  • Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
  • Implement model integration patterns to connect and orchestrate various external and internal services
  • Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
  • Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
  • Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
  • Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
  • Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
  • Ensure the security, reliability, and performance of all production systems
  • Participate in code reviews, architectural discussions, and technical strategy planning
What we offer
What we offer
  • Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
  • Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
  • Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
  • Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
  • Support - we’re offering a company pension scheme
  • Volunteers Day - you’ll get one day off per year for supporting a social project
  • Fulltime
Read More
Arrow Right

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
staffbase.com Logo
Staffbase
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional experience in backend software development
  • Strong proficiency in Golang and preferably Java/Kotlin
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
  • Experience building backend systems designed for complex agentic workflows or long-running conversational states
  • Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
  • Practical experience developing or managing MCP servers (Managing Conversational Protocols)
  • Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
  • Experience with event-driven architecture and message queues (e.g. Kafka)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
  • Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
  • Implement model integration patterns to connect and orchestrate various external and internal services
  • Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
  • Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
  • Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
  • Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
  • Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
  • Ensure the security, reliability, and performance of all production systems
  • Participate in code reviews, architectural discussions, and technical strategy planning
What we offer
What we offer
  • Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
  • Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
  • Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
  • Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
  • Support - we’re offering a company pension scheme
  • Volunteers Day - you’ll get one day off per year for supporting a social project
  • Fulltime
Read More
Arrow Right

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...
Location
Location
Germany , Chemnitz
Salary
Salary:
Not provided
staffbase.com Logo
Staffbase
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional experience in backend software development
  • Strong proficiency in Golang and preferably Java/Kotlin
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
  • Experience building backend systems designed for complex agentic workflows or long-running conversational states
  • Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
  • Practical experience developing or managing MCP servers (Managing Conversational Protocols)
  • Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
  • Experience with event-driven architecture and message queues (e.g. Kafka)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
  • Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
  • Implement model integration patterns to connect and orchestrate various external and internal services
  • Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
  • Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
  • Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
  • Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
  • Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
  • Ensure the security, reliability, and performance of all production systems
  • Participate in code reviews, architectural discussions, and technical strategy planning
What we offer
What we offer
  • Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
  • Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
  • Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
  • Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
  • Support - we’re offering a company pension scheme
  • Volunteers Day - you’ll get one day off per year for supporting a social project
  • Fulltime
Read More
Arrow Right

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...
Location
Location
Germany , Chemnitz
Salary
Salary:
Not provided
staffbase.com Logo
Staffbase
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional experience in backend software development
  • Strong proficiency in Golang and preferably Java/Kotlin
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
  • Experience building backend systems designed for complex agentic workflows or long-running conversational states
  • Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
  • Practical experience developing or managing MCP servers (Managing Conversational Protocols)
  • Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
  • Experience with event-driven architecture and message queues (e.g. Kafka)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
  • Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
  • Implement model integration patterns to connect and orchestrate various external and internal services
  • Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
  • Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
  • Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
  • Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
  • Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
  • Ensure the security, reliability, and performance of all production systems
  • Participate in code reviews, architectural discussions, and technical strategy planning
What we offer
What we offer
  • Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
  • Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
  • Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
  • Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
  • Support - we’re offering a company pension scheme
  • Volunteers Day - you’ll get one day off per year for supporting a social project
  • Fulltime
Read More
Arrow Right