Senior Software Engineer with Rust
Job Summary
CodiLime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers software providers and telecoms. We create proofs-of-concept help our clients build new products nurture existing ones and provide services in production environments. Our clients include both tech startups and big players in various industries and geographic locations (US Japan Israel Europe).
While no longer a startup - we have 250 people on board and have been operating since 2011 weve kept our people-oriented culture. Our values are simple:
Act to deliver.
Disrupt to grow.
Team up to win.
We are seeking an experienced Senior Software Engineer with Rust to join our project team. The project involves development of a new suite of tools that empowers organizations to build and deploy Physical Agents on their physical assets whether its a factory a piece of manufacturing equipment a street intersection or a fleet of vehicles.
What else you should know:
We use Agile methodology.
The team operates within a startup environment.
The client is based in Europe & the US.
We work on multiple interesting projects at the time so it may happen that well invite you to the 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:
Architecting building and maintaining the solution
Proactively identifying and drive product development opportunities
Validating the solution with the client (demo)
Fixing discovered bugs efficiently and effectively
Working in the agile methodology and collaborating with a team
Supporting teammates
Taking part in standups with Customer
As a Senior Software Engineer you must meet the following criteria:
7 years of professional experience as a Software Engineer
Excellent knowledge of Rust
Knowledge of Python
Hands-on experience with AI coding tools in your engineering workflow with a clear understanding of where they add value and where they fall short
Experience in designing and developing distributed applications including RESTful APIs and inter-service communication
Understanding of software security principles including authentication authorization secure communication and API security
Understanding of virtualization technologies
Knowledge of containerization including Docker Kubernetes
Knowledge of Git
Experience with CI/CD tools and processes
Knowledge of public clouds
Working knowledge of Linux systems
Good command of English (B2 level or higher)
Experience with AI system engineering including building LLM-based applications and agentic AI solutions
Knowledge of Bash
Knowledge of core networking concepts and protocols (ethernet TCP/IP VLAN firewalls routing etc)
Knowledge of data engineering concepts including data pipelines processing and integration
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