Find Production engineer (kubernetes) Jobs in Dublin, D

Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
- Master's degree
- SQL
- JavaScript
Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Azure
- Computer Science
- Master's degree
Senior Product Engineer - Supply Team
WeTravel —Dublin, County Dublin
- Full-time
- Remote
- English
- Java
- Master's degree
- Annual leave
- Work from home
12d
Lead Cloud Engineer
Sprinklr —Dublin, County Dublin
- Full-time
- Azure
- Management
- Social media management
- Annual leave
Sr. Software Engineer (Distributed Systems)
Workday —Dublin, County Dublin
- €96,000–€144,000 a year
- Full-time
- DevOps
- Java
- AWS
Lead Site Reliability Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
Technical Product Owner - Core Services
DoiT —Dublin, County Dublin
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
Software Development Engineer - Data Platform
Workday —Dublin, County Dublin
- €72,000–€108,000 a year
- Full-time
- DevOps
- Maintenance
- Java
Senior AI Data Engineer
Zendesk —Dublin, County Dublin
- Full-time
- Engineering
- SQL
- AWS
Senior Software Development Engineer
CarGurus —Dublin, County Dublin
- €78,000–€108,000 a year
- Azure
- Java
- SQL
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Oracle
- Java
- SQL
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
Sr Backend Engineer - GraphQL Federation
eBay Inc. —Dublin, County Dublin
- Full-time
- System design
- Java
- JavaScript
Senior Software Development Engineer
Solventum —Dublin, County Dublin
- Full-time
- Hybrid work
- DevOps
- SQL
- AWS
- Relocation assistance
Technical Lead - Cloud, DevOps
Tata Consultancy Services —Dublin, County Dublin
- Call to connect
- Azure
- DevOps
- SQL
Senior AI Architect - Microsoft Technologies (relocation to the Netherlands)
EPAM Systems, Inc. —Dublin, County Dublin
- Hybrid work
- Azure
- AWS
- SharePoint
- Employee stock purchase plan
- Annual leave
4d
Software Engineering Team Lead
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- Azure
- AWS
- Mentoring
2d
Staff Engineer, DevOps
LearnUpon —Dublin, County Dublin
- System design
- AWS
- Mentoring
- Annual leave
Senior Cloud Engineer
Sprinklr —Dublin, County Dublin
- Full-time
- Azure
- Management
- Social media management
- Annual leave

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Business Support Engineer

Meta -
Dublin, County Dublin

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Job details

Qualifications

Law
React
Kubernetes
Master's degree
SQL
Docker
JavaScript
Distributed systems
REST
Mentoring
AI
Python
Debugging

Full job description

Meta recently launched its Business Agent, helping businesses of every size use AI to boost productivity and deliver more personalized customer experiences. Business Support Engineering will be at the forefront of this shift, and we’re looking for an engineer to play a pivotal role supporting Meta’s partners bringing demonstrated experience in distributed systems and AI-driven solutions and a track record of improving end-to-end support experiences.As a Business Support Engineer, you will work closely with cross-functional teams and business partners across the globe, incorporating AI-driven business solutions into their service offerings. You will track industry advancements and partner experiences, evaluating their impact and influencing the product's strategic roadmap.

Business Support Engineer Responsibilities:

Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfaction
Troubleshoot large-scale distributed systems and partner integrations, championing operational excellence and engineering craftsmanship
Leverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindset
Build, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to production
Develop performance monitoring systems for partner integrations to ensure high availability
leverage metrics to proactively identify issues and drive improvements across teams
Provide 24/7 oncall support coverage via rotation schedule (including weekends)
Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvement
Create clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externally
Drive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Develop and share AI/ML expertise, actively coaching and mentoring peers on technical troubleshooting and project execution

Minimum Qualifications:

3+ Years of experience as Software engineering or Site Reliability Engineering background
Proven experience in API development on cloud-based infrastructures, being able to debug, identify root causes and resolve independently outages impacting Meta Partners
Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management support
Knowledge of fine-tuning and optimization of PyTorch models and and experience with at least one LLM such as Llama, GPT, Claude, or Falcon
Experience in communicating with technical and business audiences and writing technical documentation
Experience in assessing, analyzing, and resolving operational issues using data analysis (SQL)

Preferred Qualifications:

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience in partner-facing or customer-centric engineering roles
Experience transforming data, model selection/training/optimization, and deployment at scale
Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience building cloud solutions on any cloud
Experience collaborating in cross-cultural engineering environments with international stakeholders
Hands-on experience working with large language models and AI agents
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Apply Now

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production engineer (kubernetes) jobs in dublin, d

Business Support Engineer

Machine Learning Engineer

Senior Product Engineer - Supply Team

Lead Cloud Engineer

Sr. Software Engineer (Distributed Systems)

Lead Site Reliability Engineer

Technical Product Owner - Core Services

Software Development Engineer - Data Platform

Senior AI Data Engineer

Senior Software Development Engineer

Lead Software Engineer

Senior AI Engineer

Senior Engineer, Applied AI

Sr Backend Engineer - GraphQL Federation

Senior Software Development Engineer

Technical Lead - Cloud, DevOps

Senior AI Architect - Microsoft Technologies (relocation to the Netherlands)

Software Engineering Team Lead

Staff Engineer, DevOps

Senior Cloud Engineer

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