Senior Software Developer In Test - Python Automation Engineer

Key Responsibilities

• Design, develop, maintain, and document production-grade automation frameworks, reusable Python packages, fixtures, command-line tools, test utilities, and supporting services.
• Use AI-assisted development tools in day-to-day engineering to accelerate coding, refactoring, test generation, debugging, analysis, and documentation while independently reviewing outputs for correctness, security, maintainability, and licensing risk.
• Design automated tests with Pytest and apply deep knowledge of collection and execution flow, fixtures, parametrization, markers, hooks, configuration, and plugin architecture.
• Configure, extend, or create Pytest plugins for parallel execution, reporting, retries, logging, test selection, resource coordination, port allocation, environment management, and CI-friendly result publication.
• Read and understand existing Java code and create or modify small Java scripts or utilities when required. The role does not own Java-based test automation.
• Develop, integrate, and validate REST APIs and gRPC services, including unary calls, server-side streaming, client-side streaming where applicable, and bi-directional streaming.
• Build automation for distributed, event-driven microservices and asynchronous workflows using Azure Service Bus and Azure Blob Storage, including message correlation, ordering, timing, retries, idempotency, dead-letter handling, failure recovery, and data validation.
• Create functional, integration, component, contract, system, regression, reliability, resilience, performance, and scalability automation for service-based and end-to-end workflows.
• Validate distributed-system behaviours such as eventual consistency, partial failure, timeout propagation, retry behaviour, duplicate delivery, backpressure, concurrency, and service recovery.
• Integrate tests, reports, logs, artifacts, environment controls, and automated quality gates into GitLab CI/CD pipelines and GitLab Runner environments.
• Package and execute automation in containerized environments and deploy, inspect, diagnose, and troubleshoot tests and microservices running on Kubernetes.
• Improve repeatability through deterministic test data, configuration management, environment isolation, structured logging, metrics, traces, and actionable failure diagnostics.
• Participate in code reviews, technical design discussions, engineering standards, documentation, and peer knowledge sharing as a senior individual contributor.

Requirements

• Strong hands-on Python development experience, including object-oriented design, typing, packaging, dependency management, concurrency or asynchronous programming, error handling, logging, and maintainable framework architecture.
• Demonstrated experience designing and implementing substantial automation frameworks and engineering tooling, not only writing individual test cases.
• Deep understanding of Pytest architecture, collection and execution lifecycle, fixture design, parametrization, hooks, configuration, plugin development, and plugin ecosystems.
• Practical experience using AI-powered development tools as part of normal engineering workflows, with disciplined human review and validation of generated code and tests.
• Working knowledge of Java sufficient to read production code and write or modify small scripts and utilities.
• Experience developing, integrating, or testing REST APIs and gRPC services, including streaming patterns and distributed failure modes.
• Experience automating asynchronous messaging and object-storage workflows using Azure Service Bus and/or Azure Blob Storage, or closely comparable technologies.
• Experience with GitLab, merge-request workflows, source-control best practices, GitLab CI/CD, runners, pipeline artifacts, and automated quality gates.
• Solid understanding of distributed systems, event-driven architecture, microservices, Linux, containers, CI/CD, and automated deployment pipelines.
• Strong debugging, analytical, communication, and collaboration skills, with the ability to work independently in a senior developer capacity.

Nice to Have

• Foundational networking knowledge, including IP addressing, ports, DNS, TLS, routing, load balancing, connectivity troubleshooting, and client-server behaviour.
• Experience working in highly automated, AI-enabled engineering environments where AI tools support a significant portion of coding, scripting, analysis, and documentation.
• Exposure to Prometheus, Grafana, OpenTelemetry, structured logs, metrics, and distributed traces.
• Exposure to telecommunications, SDN orchestration, simulation, high-performance computing, or engineering-modelling platforms.

Education

Bachelor’s or master’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field, or equivalent practical experience.