About the role

AI summarised

Software Architect at Thales responsible for designing and leading the architecture of large-scale, event-driven distributed systems using Kafka, Camel, and Kubernetes. The role involves technical leadership, platform design, scalability, resilience, observability, and collaboration with engineering and business teams to deliver mission-critical capabilities in aerospace, cybersecurity, and digital identity domains.

Aerospace & DefenseFull-timeGeneral

Key Responsibilities

Define the end-to-end architecture of distributed systems using Kafka (event streaming) and Camel (integration and routing) on Kubernetes
Establish messaging, event-driven, and integration patterns for large-scale systems of systems
Design fault-tolerant, elastic, and observable architectures with strong SLAs/SLOs (SLA is 99.9995%) for throughput and latency
Ensure designs align with microservices, domain-driven design (DDD), and event-sourcing/CQRS principles
Drive API-first design and interoperability across heterogeneous systems
Lead the deployment of Kafka clusters and Connectors for reliable, high-volume data streaming
Architect Apache Camel routes for enterprise-grade integration, mediation, and message transformation
Define deployment strategies on Kubernetes (AKS, RKE2), including multi-cluster or hybrid-cloud patterns
Collaborate with DevOps engineers to integrate CI/CD, GitOps (ArgoCD, FluxCD), and IaC (Terraform, Helm, Kustomize) into system architecture
Define SLOs, RPOs to measure the levels of resiliency and robustness in the architecture
Define strategies for partitioning, replication, and scaling Kafka and Camel workloads
Establish observability frameworks (Prometheus, Grafana, Loki, OpenTelemetry) for system health and metrics

Requirements

Bachelors in Computer Science or Information Technology
Masters degree in Computer Science or Data Science
8+ years in software engineering/architecture, with 3+ years designing large-scale distributed systems
Strong understanding of CAP theorem, Leadership Election strategies (e.g., Quorum), Data replication strategies, Data Partition Strategies
Deep expertise in Apache Kafka (topics, partitions, replication, Connect, Streams, ksqlDB)
Strong knowledge of Apache Camel (routing, integration patterns, connectors)
Hands-on experience deploying and operating workloads on Kubernetes (Helm, Operators, CRDs)
Proficiency in Java/Kotlin (preferred), with additional knowledge in Python for integration
Strong foundation in system design, distributed consensus, and CAP theorem trade-offs
Experience with service mesh technologies (Istio, Linkerd)
Familiarity with data lake and warehouse integration (Iceberg, BigQuery)
Certifications: CKA/CKAD, Confluent Certified Kafka Architect/Developer
Background in regulated industries (aviation, fintech, govtech) with compliance-aware designs
Possess learning agility, flexibility and pro-activity
Comfortable with agile teamwork and user engagement