Top Remote Jobs in Izmir

Own River’s YouTube video strategy and production pipeline, from idea generation and research through scripting, packaging, editing, and performance optimization. Develop compelling titles, thumbnails, hooks, and stories about Bitcoin and economics; guide hosts and editors; and build repeatable systems for content production and testing. Success is measured through views, retention, click-through rate, and returning viewers.

Build, automate, and operate enterprise-scale data platforms using Databricks, Snowflake, Microsoft Fabric, Kubernetes, and cloud technologies. Responsibilities include Infrastructure as Code, CI/CD, GitOps, platform provisioning, reliability engineering, observability, security, governance, incident remediation, performance optimization, and FinOps. The role supports multi-environment deployments and self-service capabilities for data engineering and analytics teams.

Lead Customer 360 data engineering initiatives across Customer and Sales domains. Design data integration, ingestion, curation, governance, quality, harmonization, and common data models. Build scalable cloud-based data capabilities and integration pipelines while supporting data products, use cases, and analytics. Collaborate with business owners, regional partners, and technology teams to define strategy, roadmaps, prototypes, and MVPs, serving as a subject matter expert in Customer 360 data.

Lead and mentor UX and visual designers to deliver user-centered digital experiences for enterprise and data products. Run design thinking workshops, conduct user research, create personas, flows, wireframes and prototypes, design dashboards and BI visualizations, collaborate with product and development teams, and ensure design governance, usability testing and timely delivery.

Own Roamless’s B2C and B2B web products end to end, including roadmap development, discovery, delivery, adoption, customer research, experimentation, and success metrics. Partner with engineering, design, data, and marketing to improve the existing website and launch a new web product. The role also contributes to product processes and culture in a fully remote startup environment.

Build and deploy production machine learning models for personalization, pricing, discounting, churn, and lifetime value. Own the full model lifecycle, establish low-latency serving and monitoring on GCP, and partner with Product and Engineering to integrate models into user-facing experiences. Design causal experiments and uplift models to measure incremental revenue and retention impact, while creating reusable MLOps and model-to-production practices.

Create and maintain the visual style of mobile game interfaces, including color palettes, typography, icons, and other UI assets. Collaborate with product and engineering teams to deliver consistent, polished, and engaging player experiences in a fast-paced remote environment.

Design, develop, and deploy high-volume, low-latency Java applications and microservices. Lead full development lifecycle, write testable code, manage releases, improve architecture, and support Agile/Scrum processes.

Design and maintain scalable, secure cloud infrastructure; integrate security into development workflows; monitor and troubleshoot production systems; automate deployment and scaling; and improve infrastructure efficiency, reliability, and cost effectiveness. The role requires Linux administration, scripting, cloud platforms, containerization, orchestration, infrastructure as code, networking, and security expertise.

Lead the billing platform product within the Fintech vertical: define roadmap and strategy, build end-to-end finance and billing solutions with engineering and design, ship iterative improvements, align to business KPIs, manage stakeholders cross-functionally, and autonomously drive complex projects and feature delivery.

Process end-to-end French payroll, including statutory filings, approvals, payments, reconciliations, journals, compliance, and data quality. Serve as the country payroll subject matter expert, manage stakeholder relationships, monitor KPIs and SLAs, improve processes, mentor payroll specialists, and provide regional management coverage. Work asynchronously with international teams and support payroll operations through automation and AI-enabled tools.

Leads data and analytics consulting projects from planning through delivery. Responsibilities include capturing client requirements, modeling scenarios, developing data processes and models, designing solutions, building dashboards, testing and assuring implementations, supporting decision-making, leading analysts and consultants, and preparing client reports and pitch materials. The role also requires selling consulting solutions, facilitating workshops, and managing client engagements.

Lead end-to-end delivery of large, complex programmes, defining strategy, roadmaps, governance, and delivery approaches. Coordinate cross-functional workstreams, align senior stakeholders, and oversee scope, budgets, timelines, benefits, risks, issues, dependencies, assurance, and compliance. Monitor performance through reporting and metrics, facilitate governance forums, and provide strategic guidance to support decision-making and successful programme outcomes.

Manage end-to-end recruitment for real estate and corporate roles, including sourcing, screening, interviewing, onboarding, pipeline development, and stakeholder partnership. Promote employer branding through campus drives, job fairs, and digital platforms. Ensure compliant hiring practices, track recruitment metrics, provide leadership insights, manage multiple requisitions, benchmark compensation, and support diversity and inclusion initiatives.

Own design, deployment, and operation of high-performance AI GPU fabrics and datacenter networking (RoCE, RDMA, BGP/ECMP, EVPN/VXLAN). Provide staff-level architecture, cross-team technical leadership, incident escalation, automation (Python/Bash), and operational standards for global datacenter and edge deployments, including inter-datacenter transport and security.

Hands-on engineer responsible for deploying, validating, and operating GPU cloud infrastructure in datacenters. Duties include rack-and-stack, cabling and optics validation, BIOS/firmware and GPU/DPU bring-up, network and storage integration, platform stack installation, acceptance testing, runbook creation, Day-2 maintenance, observability validation, and cross-team coordination with vendors and engineering for production readiness.

Design, build, and operate the AI storage layer for GPU-heavy edge and core deployments. Architect and optimize storage for distributed training and inference, integrate storage with Kubernetes (CSI), tune performance (RDMA, NVMe-oF, GPU Direct Storage), lead reliability and operational practices, and provide staff-level architectural ownership and cross-team influence while executing hands-on storage engineering.