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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 we’ve 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 it's a factory, a piece of manufacturing equipment, a street intersection, or a fleet of vehicles.
The team operates within a startup environment.
We work on multiple interesting projects at the time, so it may happen that we’ll 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
As a Senior Software Engineer you must meet the following criteria:
7+ years of professional experience as a Software Engineer
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
Experience with CI/CD tools and processes
Good command of English (B2 level or higher)
Experience with AI system engineering, including building LLM-based applications and agentic AI solutions
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
Originally posted on Himalayas
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