Senior SW engineer

We’re looking for anexperienced software engineer who enjoys taking ownership of projects fromconcept to deployment. You’ll be part of a collaborative team where yourtechnical judgement, hands-on skills, and ability to see the bigger picturewill be highly valued. Your main responsibilities will include:

• Translating functional requirementsinto robust, scalable technical solutions.
  
• Designing and deploying infrastructure, ideally using Kubernetes and cloud-native tools.
  
• Writing high-quality software, primarily in Python, following best practices in design, testing, and maintainability.
  
• Building and maintaining ETL pipelines, working with large-scale datasets.
  
• Managing relational and non-relational databaseswith confidence and autonomy.
  
• Automating deployments and integrations, contributing to the evolution of our DevOps practices.
  
• Collaborating with technical and non-technical stakeholders, bringing clarity, structure, and technical insight to the table.
  

Requirements

We’re looking for someone with a solid technical foundation, hands-on experience, and a proactive mindset. Ideally, you’ll bring:

• 6+ years of relevant professional experience in software development.
  
• Experience designing event-driven distributed systems using messaging technologies such as Kafka, Pulsar or RabbitMQ, with asynchronous communication patterns and scalable data ingestion pipelines.
  
• Experience designing scalable distributed applications with microservices, high availability, fault tolerance, resiliency and performance optimisation.
  
• Experience designing large-scale batchand streaming data pipelines, analytical data models and modern storage formats such as Parquet.
  
• Experience implementing unit, integration, end-to-end and API contract testing to ensure software quality and maintainability.
  
• Experience designing observable systems using metrics, logging, distributed tracing and tools such as Prometheus and Grafana.
  
• Experience with cloud platforms (e.g. AWS, GCP, Azure).
  
• Strong programming skills in Python, with clean, maintainable code.
  
• Experience working with Kubernetesand containerised environments.
  
• Familiarity withCI/CD pipelines and modern development workflows.
  
• Experience designing or maintainingETL processes, especially when working with large volumes of data.
  
• Solid understanding of databases (SQL and/or NoSQL), data modelling, and performance considerations.
  
• A good grasp of software architecture principles and the ability to make sound technical decisions.
  
• Experience producing architecture documentation, leading technical discussions, mentoring engineers and defining engineering standards and best practices.
  

• Comfortable working in a collaborative environment, with autonomy and ownership.
  
• Familiarity with mobile network KPIs, alarms, OSSconcepts and 4G/5G network data structures.
  

Benefits

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