[Hiring] Senior Software Engineer @CodiLime

Role Description

You will join a team co-developing a unified network security management platform from a leading cybersecurity vendor. You will be building functionality that automates and facilitates the conversion and onboarding of existing network security estate configurations within that platform.

The solution's foundation rests on several years of experience delivering large-scale migration projects that would not have been possible without specialized automation software. That expertise, together with AI-assisted development, helps the team move fast and consistently land high-quality results.

As the software keeps expanding and becoming a fully-fledged product, we're looking for another Senior Software Engineer to help build what's next. It is as much a product engineering challenge as a technical one.

• The team consists of software engineers and network security SMEs who share strong ownership of code and product quality.
• AI tools are part of the daily workflow.
• This is a backend-focused role.
• We are a distributed, fully remote team.
• We work on multiple interesting projects at a time, so it may happen that we'll invite you to an interview for another project if we see that your competencies and profile are well suited for it.

As a part of the project team, you will be responsible for:

• Designing, building, and maintaining the software product and the underlying libraries.
• Building a self-service product: with actionable errors, predictable behavior, and a path a customer can complete without specialized assistance.
• Deciding what gets generalized and what gets built once - some capability is shared, some is specific, and keeping that cost curve falling is the central architectural judgment in this role.
• Owning and leading technical initiatives to successful delivery, from the design document through to release.
• Acting as the technical counterpart to the teams around you - raising dependencies early and in writing, rather than discovering them at integration time.
• Maintaining appropriate test coverage and helping shape the overall testing strategy.
• Applying AI-assisted engineering practices and setting the standard for how they are used - across the entire SDLC, not only in code generation.
• Contributing to architecture and design decisions as the solution scales in different dimensions.
• Proposing and helping ship your own ideas for improving the product, beyond your core delivery work.

Qualifications

• Strong, 7+ years professional experience with modern Python - we run 3.14 and stay close to the latest release.
• Experience building and maintaining software products for external customers.
• Experience owning an architecture end to end, including the part where you align teams you have no authority over.
• Hands-on, everyday use of AI coding tools in your engineering workflow, with a considered view of where they earn their keep and where they do not.
• Solid testing experience and ability to pick the right testing strategy.
• Experience building and maintaining integrations or API clients.
• Experience with data modeling and transformation - parsers, intermediate representations, schema-driven conversion or similar.
• Fluency with Pydantic and with strict static typing (mypy or equivalent) as a daily discipline.
• CI/CD experience.
• Comfortable in a fast-paced environment where priorities are set as much by customers as by the backlog.
• Open for technical challenges and open-mindedly looking for technical solutions to business problems.
• Very good command of English (minimum B2, ideally C1 level) - spoken and written.

Requirements

• Experience with workflow or orchestration engines (e.g. Temporal).
• Experience with Docker and Kubernetes.
• Experience with SQLAlchemy, or ORM-based data modeling more broadly.
• Experience with migration, import or ETL-style tooling.
• Experience with asynchronous Python.
• Experience with XML at scale, or grammar-based configuration parsing (e.g. TextFSM).
• Experience with Go.
• Experience with observability tooling (e.g. OpenTelemetry, Prometheus, Grafana).
• Experience with modern Python packaging and tooling (uv, ruff).
• Working understanding of core networking concepts (TCP/IP, VLAN, NAT, ACL, firewalls, routing).

Benefits

• 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 to give you an easy start.
• A great atmosphere among professionals who are passionate about their work.
• The ability to change the project you work on.