Top Remote Jobs in Bucharest

Own and optimize interconnected go-to-market systems including Salesforce, HubSpot, DealHub CPQ, and sales and marketing tools. Build automations, integrations, self-service solutions, and small tools; improve data quality; maintain reliable APIs and workflows; support EMEA users; document changes; and manage sandbox-to-production releases. The role requires strong Salesforce administration and development skills, systems thinking, scripting ability, and effective collaboration with business and engineering teams.

Lead SRE and Platform Engineering teams responsible for infrastructure reliability, scalability, observability, incident response, cloud operations, and developer platforms. Own the DevOps roadmap, delivery commitments, people management, technical architecture, and infrastructure efficiency. The role requires hands-on expertise with GCP, Kubernetes, Terraform, CI/CD, GitOps, observability, distributed systems, and high-availability production environments while driving predictable execution and long-term platform improvements.

Own the technical success of strategic enterprise customers by advising on platform health, scalability, reliability, performance, and architecture. Lead technical handoffs, manage escalations and incidents, coordinate Support, Product, Engineering, and Customer Success teams, and communicate resolution plans. Analyze usage and support trends, triage bugs and feature requests, provide workflow improvements, and share customer insights to improve the platform.

Build and maintain end-to-end web application features across frontend and backend systems. Translate designs into responsive, high-quality interfaces, contribute to scalable architecture, optimize performance and reliability, collaborate with product and design teams, and mentor junior engineers. The role requires substantial full-stack experience, Elixir expertise, modern frontend framework knowledge, API and database proficiency, AWS familiarity, and experience with asynchronous processing.

Build AI-powered learning resources, automated workflows, onboarding experiences, and knowledge systems. The role involves prototyping Claude-supported solutions, maintaining Sana LMS and Notion, automating enrollment and reporting, creating learning content, and partnering with stakeholders to solve learning needs in a remote, async-first environment.

Owns core backend computation services that produce correct, reproducible, traceable, and auditable financial results. Designs configuration-driven architectures, data-intensive services, and set-based warehouse computations. Requires strong Python, SQL, data modeling, system design, reliability, isolation, and testing expertise. Provides technical leadership through design reviews, engineering standards, and mentorship while partnering with data, AI, and product teams.

General application opportunity for candidates interested in joining Swapcard, a remote-first AI-powered event technology company. The posting does not specify a particular role, responsibilities, qualifications, salary, or technical requirements. Swapcard highlights its international team, collaborative culture, benefits, remote work flexibility, and multi-stage interview process.

Supports finance, operations, and strategic initiatives at a high-growth SaaS company. Responsibilities include financial modeling, planning, organizational design, compensation, scalable process development, cross-functional GTM collaboration, and preparing materials for leadership, boards, and investors.

Generate and qualify pharma and biotech sales leads through targeted prospecting, personalized LinkedIn and email outreach, objection handling, and meeting booking. Collaborate with marketing on messaging and campaigns, track activity in Salesforce, and monitor life sciences industry and competitor trends. The role is fully remote, supports U.S. time-zone overlap, and requires self-motivation, digital fluency, and comfort working independently as an independent contractor.

Troubleshoot customer AI infrastructure issues across Linux and Kubernetes, diagnose GPU and cluster failures, participate in 24/7 incident response, coordinate provider resolutions, and communicate clearly with customers. Build Python or Bash automation, monitoring, dashboards, alerts, runbooks, and documentation to prevent recurring problems. Experience with NVIDIA GPUs, HPC networking, schedulers, observability tools, and infrastructure-as-code is advantageous but not required.