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
Design scalable, resilient systems using C4 architecture models (Context, Container, Component, Code) and UML diagrams
Define backend, frontend, and data flow architectures with a strong focus on non-functional requirements (availability, latency, scalability, resiliency)
Drive architectural decisions for SRE, observability, and reliability platforms
Develop high-quality, production-grade Java/Python code for backend services, APIs, synthetic testing frameworks, and reliability tooling, observability data ingestion, aggregation, and enrichment pipelines
Build RESTful and GraphQL APIs using frameworks such as Spring Boot, Django, Flask, FastAPI
Implement asynchronous and event-driven systems using Kafka, RabbitMQ, and async frameworks (e.g., asyncio)
Design and optimize data pipelines that aggregate logs, metrics, traces, and synthetic signals before exposing them to the presentation layer
Build and customize rich, data-driven UIs using ReactJS or Angular
Integrate frontend applications with backend APIs and streaming data sources
Optimize UI performance and usability for large-scale metric visualization and analytics
Apply Site Reliability Engineering (SRE) principles in system design and development: Reliability, Availability, Scalability, and TOIL automation
Design and implement synthetic tests (availability, latency, user journeys) and expose results through dashboards
Build solutions around SLIs, SLOs, and Error Budgets, embedding reliability signals directly into platforms
Integrate and extend observability tools such as Prometheus, Grafana, Splunk, ELK/OpenSearch
Aggregate logs, metrics, traces, and synthetic data into a unified observability data model
Build and deploy cloud-native applications on AWS, Azure, or GCP
Package and deploy services using Docker and Kubernetes / OpenShift
Implement CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI
Use Infrastructure as Code (IaC) tools such as Terraform, Ansible, CloudFormation
Own production readiness, release hygiene, and operational stability
Write comprehensive unit, integration, and contract tests
Identify performance bottlenecks and optimize backend services, database queries, and UI rendering
Monitor production systems, analyze incidents, and drive continuous reliability improvements
Lead technical and design discussions with senior engineers and architects
Review code with a strong focus on clean code, testability, and maintainability
Mentor junior engineers and raise the overall engineering bar
Evaluate and introduce new technologies that improve reliability, observability, and developer productivity
Requirements:
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
Strong hands-on programming experience in Java and/or Python
Proven experience designing and building large-scale backend systems
Solid expertise in ReactJS or Angular for building production-grade UIs
Strong knowledge of system design, design patterns, and architecture modeling (UML / C4)
Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB)
Deep understanding of REST, GraphQL, async/event-driven architectures
Strong experience with Git-based version control
Hands-on experience with cloud platforms and container orchestration
Experience building SRE platforms, observability tooling, or reliability dashboards
Hands-on experience with synthetic monitoring and user journey testing
Deep understanding of SLI, SLO, error budgets, and reliability metrics
Experience aggregating and visualizing observability data at scale
Prior experience operating mission-critical, high-availability systems
Strong documentation skills for architecture and design artifacts