Senior Software Engineer, Python

• Design, build, and maintain the software product and underlying libraries
• Build a self-service product with actionable errors, predictable behavior, and customer-completable workflows
• Decide what capabilities should be generalized versus built once
• Own and lead technical initiatives from design document through release
• Act as the technical counterpart to surrounding teams and raise dependencies early and in writing
• Maintain appropriate test coverage and help shape the overall testing strategy
• Apply AI-assisted engineering practices across the entire SDLC
• Contribute to architecture and design decisions as the solution scales
• Propose and help ship product improvements beyond core delivery work
• Co-develop a unified network security management platform and automate conversion and onboarding of network security configurations

• 7+ years professional experience with modern Python
• Experience building and maintaining software products for external customers
• Experience owning an architecture end to end, including aligning teams without direct authority
• Hands-on, everyday use of AI coding tools in the engineering workflow
• Solid testing experience and ability to choose the right testing strategy
• Experience building and maintaining integrations or API clients
• Experience with data modeling and transformation, including parsers, intermediate representations, or schema-driven conversion
• Fluency with Pydantic and strict static typing (mypy or equivalent)
• CI/CD experience
• Comfortable in a fast-paced, customer-driven environment
• Very good command of English, minimum B2, ideally C1, spoken and written
• Experience with workflow or orchestration engines such as Temporal
• Experience with Docker and Kubernetes
• Experience with SQLAlchemy or ORM-based data modeling
• Experience with migration, import, or ETL-style tooling
• Experience with asynchronous Python
• Experience with XML at scale or grammar-based configuration parsing such as TextFSM
• Experience with Go
• Experience with observability tooling such as OpenTelemetry, Prometheus, or Grafana
• Experience with modern Python packaging and tooling such as uv and ruff
• Working understanding of TCP/IP, VLAN, NAT, ACL, firewalls, and routing

• Flexible working hours and approach to work: fully remotely, in the office or hybrid
• Professional growth supported by internal training sessions and a training budget
• Solid onboarding with a hands-on approach
• A great atmosphere among professionals who are passionate about their work
• The ability to change the project you work on