Top Remote Jobs in Turkey

As Director of R&D Software Engineering, oversee software development in a regulated healthcare context, ensuring compliance and quality while managing multiple development teams and delivering new initiatives.

Design, build, and operate an AWS- and Kubernetes-centered cloud platform. Scale clusters and services, shape architecture, drive automation and best practices, and collaborate with product teams to deliver cloud-native applications into production.

Lead a small cross-functional product unit owning roadmap and a primary business metric. Drive hands-on product work (specs, flows, design), analyze cohorts and monetization metrics, run full build-measure-iterate loops, and incorporate UA economics into product decisions to scale engagement and revenue.

Deliver and install robotics hardware and software in warehouse sites across Europe. Perform system assembly, configuration, calibration, on-site debugging, and customer-facing technical coordination. Produce and maintain deployment and troubleshooting documentation and communicate with customers and internal teams to resolve technical issues.

Lead end-to-end HRIS implementations: plan, manage scope/schedule/budget, gather requirements, coordinate vendors, drive data migration/integrations and UAT, execute change management and training, and manage post-go-live stabilization and reporting.

Strategic, quota-carrying account executive managing major West territory accounts. Build executive relationships, expand and retain named accounts, develop proposals, negotiate deals, coordinate partners and sales support, forecast revenue, and meet/exceed sales targets while maintaining industry and product expertise.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.