This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Requirements:
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Nice to have:
Ability to analyze large-scale datasets and translate analytical requirements into scalable system designs
Experience in building distributed data pipelines using Apache Beam (or Flink / Spark), including streaming and batch workflows
Knowledge on ElasticSearch architecture, index design, query optimization, and analytics use cases
Proven expertise in distributed systems design, including scalability, fault tolerance, backpressure handling, and data consistency trade-offs
Experience designing and governing end-to-end analytics architectures from ingestion through visualization
Hands-on expertise of Kubernetes for deploying and operating data pipelines, and microservices
Experience building and maintaining microservices using Spring Boot, with well-defined APIs and service contracts
Ability to define and enforce engineering standards, reference architectures, and best practices across teams
Strong focus on reliability, observability, and operability, including monitoring, alerting, and production incident management