Top Remote Jobs in Warsaw

Provides process engineering and process safety expertise for regional capital projects across manufacturing sites. Responsibilities include process design, engineering calculations, equipment specification, risk assessments, technical bid evaluations, commissioning, start-up, troubleshooting, and process improvements. The role collaborates with manufacturing, EHS, R&D, Quality, Procurement, contractors, and suppliers while mentoring engineers and ensuring compliance with engineering, environmental, health, safety, and process safety requirements.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

Lead an engineering team building endpoint configuration management capabilities, including configuration policies, baselines, drift detection, remediation, staged rollouts, reporting, and audit trails. Own delivery, architecture, production operations, automated deployment pipelines, and cross-functional alignment with product and core engineering teams. Guide technical decisions and apply AI technologies where beneficial.

Own and optimize the Apps product development lifecycle, embed tooling and AI to enable product teams, define KPI frameworks, drive commercialization and cross-functional alignment, and design training to raise product practice maturity and outcomes.

Lead a cross-functional team building ML-powered marketplace catalogue systems, including product enrichment, categorization, translation, moderation, embeddings, search, and recommendations. Own the product data pipeline, ML roadmap, evaluation and labeling infrastructure, reliability, technical debt, hiring, team development, OKRs, and cross-functional delivery. Ensure models and services meet quality, cost, latency, scalability, observability, and data residency requirements.

Designs and delivers production-grade GenAI solutions, including LLM applications, AI agents, RAG systems, Python services, and cloud-native architectures. Leads technical discovery, solution architecture, scoping, presales, architecture reviews, and client-facing engagements from inception through production. Mentors engineers, conducts code reviews, establishes Python engineering standards, and advises clients on architectural tradeoffs, cloud costs, testing, deployment, and AI quality assurance.

Manage day-to-day delivery for a global portfolio of approximately 30 Lean and Operational Excellence applications. Responsibilities include incident, change, release, lifecycle, compliance, budget, vendor, and service-level management. The role leads internal and contracted resources, scopes enhancement demand, coordinates delivery, supports audits, and works with global business stakeholders to execute the application roadmap in a regulated manufacturing environment.

Develop and maintain scalable cloud-native backend services and REST APIs for Avid Content Core and MediaCentral. Responsibilities include architecture and design, coding, testing, code reviews, infrastructure maintenance, CI/CD, and collaboration across global agile teams. The engineer will translate product requirements into reliable solutions, participate throughout the software development lifecycle, mentor teammates, and drive high-quality delivery of complex systems.

Supports enterprise pre- and post-sales deal operations by managing requests, coordinating Sales, Legal, Finance, and Operations stakeholders, preparing documentation, maintaining Salesforce records, and ensuring timely approvals and execution. The role also identifies process improvements, manages competing priorities, and contributes to team best practices and knowledge sharing.

Leads Dow’s Digital Operations technology strategy, identifying and prioritizing intelligent automation opportunities, translating business needs into scalable digital solutions, and overseeing implementation across sites and functions. Partners with operations, technology, data, cybersecurity, and business leaders to improve reliability, performance, adoption, and value realization. Provides strategic guidance to senior leadership while mentoring employees and promoting responsible, safe, and inclusive technology adoption.