Senior Software Engineer

Assignment Description We are seeking a senior Software Engineer with strong capabilities in backend and platform engineering for a team developing and running a business-critical platform that supports telemetry and data services. Working in a modern, data-driven environment, you will combine software development with DevOps, cloud-native platform engineering and operational excellence. This hands-on assignment centres on creating, running and continually improving scalable backend services and data pipelines. It calls for extensive experience developing production-grade backend services in Go and working with microservices, event-driven systems, Kubernetes and public cloud platforms. The scope is engineering rather than traditional data science or analytics. Backgrounds that are a strong match include senior Go development and roles in backend, platform, cloud or site reliability engineering, as well as DevOps with strong software development experience or backend-focused software engineering with Kubernetes and AWS expertise. Your work will span the design, development and maintenance of microservices written in Go, alongside pipelines for telemetry and usage data. You will manage infrastructure and deployment processes in a cloud-native environment while improving service reliability, observability and operational efficiency. Contributions to automated testing, automation, CI/CD and release processes are also part of the assignment, together with incident response and operational support. Modern engineering practices and AI-assisted development tools will support faster software delivery. Required Qualifications: A strong understanding of Kubernetes. Experience using AWS. Experience working with event-driven architectures and messaging solutions, for example Kafka, Solace, Amazon SQS or similar technologies. Practical use of AI-assisted software development tools, for example GitHub Copilot, Claude Code or similar solutions. Strong professional experience developing software in Go (Golang). Practical, hands-on experience using MongoDB. Experience providing support for production systems, with responsibilities covering incident management and operational ownership. Experience applying GitOps practices; Argo CD is preferred. Experience working with Helm. Experience working with CI/CD tools such as GitHub Actions or equivalent solutions. Experience creating and maintaining systems with a microservice architecture. It is considered an advantage if you have experience applying Site Reliability Engineering (SRE) practices and using observability tools such as Prometheus and Grafana. Experience defining and managing SLOs, monitoring and service health metrics is also meritorious, together with experience working with Schema Registry, AsyncAPI and Data Contracts. Other meritorious experience includes Agentic Engineering or software delivery workflows driven by AI, as well as practices within test automation and quality engineering. Experience using Snowflake, dbt, Python, Apache Iceberg and Splunk is also an advantage, as is experience running cloud-native platforms at a large scale and operating data-intensive systems.