Platform Engineer (Europe) at Jobgether

, , -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Platform Engineering, Infrastructure Development, Backend Service Development, AWS, Azure, GCP, DevOps, GitOps, CI/CD, Automated Testing, Infrastructure as Code, Python, Go, Containerization, Microservices, RESTful APIs, Distributed Systems

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Platform Engineer in Europe. As a Platform Engineer, you will play a key role in designing, building, and maintaining scalable infrastructure that powers AI-centric tools and platforms. You will collaborate with cross-functional engineering teams to implement robust backend services, optimize cloud architectures, and ensure platform reliability. This role emphasizes innovation, automation, and cost-effective solutions while fostering a culture of continuous learning. You will have the opportunity to shape system design, contribute to DevOps practices, and implement cloud-native technologies in a fast-paced, mission-driven environment. Your work will directly impact the efficiency, scalability, and security of cutting-edge AI platforms. \n Accountabilities Design and develop infrastructure solutions tailored for AI-focused platforms, ensuring seamless integration with cloud environments. Build backend services and APIs with high performance, security, and scalability in mind. Manage and orchestrate workloads across multiple cloud providers to optimize reliability and flexibility. Implement monitoring, logging, and alerting solutions for proactive system maintenance. Support CI/CD pipelines, automated testing, and deployment processes to maintain high platform reliability and uptime. Collaborate with cross-functional teams, sharing knowledge and driving best practices in DevOps, microservices, and containerization. Requirements Proven experience in cloud platform engineering roles, including infrastructure and backend service development. Proficiency in AWS; experience with Azure or GCP is a strong plus. Hands-on experience with DevOps/GitOps practices, CI/CD, automated testing, and infrastructure as code (IaC, OpenTofu). Strong programming skills in Python or Go, with expertise in containerization (Docker, Kubernetes). Solid experience with microservices architecture, RESTful APIs, and distributed systems. Excellent communication skills and ability to collaborate in a remote, team-oriented environment. Strong problem-solving abilities with a proactive approach to troubleshooting and resolving complex issues. Benefits Competitive compensation with premium packages tailored to your country of residence. Fully remote work with flexibility to collaborate across global teams. 25 days of paid time-off annually. Generous performance-based bonus plans. One-time home office stipend of 1,000 USD. Annual professional development budget. Annual well-being stipend of 3,500 USD. Paid parental leave. \n 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

Design and develop infrastructure solutions for AI-focused platforms while ensuring seamless integration with cloud environments. Collaborate with cross-functional teams to implement robust backend services and optimize cloud architectures.