Forward Deployed Engineer, Infrastructure Specialist (EMEA & APAC) at Jobgether

, , Germany -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Infrastructure, Deployment Solutions, Kubernetes, Cloud Infrastructure, Networking, Virtualization, DevOps Practices, CI/CD Pipelines, Version Control, Problem-Solving, Communication, Collaboration

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Forward Deployed Engineer, Infrastructure Specialist in EMEA. In this role, you will act as a key technical bridge between enterprise clients and AI infrastructure, deploying advanced AI solutions in private, hybrid, and cloud environments. You will take ownership of end-to-end deployment, including planning, configuration, testing, and troubleshooting, ensuring secure and scalable integrations. Collaborating closely with client IT teams, you will assess infrastructure requirements, implement best practices for security and data management, and deliver high-quality solutions that drive adoption. This position offers a unique opportunity to influence how organizations leverage AI while working with cutting-edge technologies and high-profile enterprise clients. You will be part of a fast-paced, collaborative environment where your technical expertise and problem-solving skills directly impact the success of critical AI deployments. Accountabilities Lead the deployment of AI infrastructure in private cloud, hybrid, and on-premises environments. Assess client IT infrastructure, security requirements, and data management practices to ensure optimal deployment strategies. Design, configure, and implement deployment solutions tailored to client needs, ensuring compliance with data privacy and security standards. Troubleshoot and resolve deployment-related technical issues, minimizing downtime and maintaining operational continuity. Collaborate with cross-functional teams including client IT, product, and engineering to drive seamless integrations. Experiment and iterate rapidly to deliver high-quality, customer-focused solutions. Document deployment processes and best practices to facilitate knowledge sharing and improve efficiency. Proven experience deploying enterprise software in private, hybrid, or cloud environments. Hands-on expertise administering production Kubernetes clusters and working with Helm. Strong background in cloud infrastructure, networking, and virtualization (Azure, AWS, GCP). Familiarity with DevOps practices, CI/CD pipelines, and version control tools such as Git. Ability to work directly with clients, translating business needs into technical solutions. Comfortable working in fast-paced, dynamic environments with evolving priorities. Excellent problem-solving, communication, and collaboration skills. Nice to Have: Experience in enterprise AI, machine learning, or advanced analytics platforms. Knowledge of security and compliance frameworks relevant to enterprise deployments. Previous experience with multi-region or international client deployments. Competitive compensation package with comprehensive health and dental coverage. Generous parental leave top-up for up to 6 months. 6 weeks of vacation (30 working days) plus public holidays. Remote-flexible work arrangements with co-working stipends and office access in multiple locations. Weekly lunch stipend, in-office meals, and snacks. Personal enrichment budget for arts, culture, fitness, and workspace improvements. Collaborative, inclusive, and innovative work culture at the forefront of AI research. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead the deployment of AI infrastructure in various environments while ensuring secure and scalable integrations. Collaborate with client IT teams to assess infrastructure requirements and implement best practices for security and data management.