Climate & Environment
Full-time
Staff Software Engineer
Via Transporation
Location
London
Type
Full-time
Posted
Dec 06, 2024
Mission
What you will drive
- Develop, drive, execute, and lead a long-term vision and strategy for Via's infrastructure and tooling
- Create scalable, reliable, and efficient systems that enhance technological foundation and support growing scale and stability requirements
- Engage in hands-on coding and development, writing, building, deploying, and maintaining code in production environments
- Actively participate in day-to-day production operations alongside research and development, implementing real changes in production systems
Impact
The difference you'll make
You'll play a critical role in shaping the future of transportation, affecting millions of riders daily worldwide, and help create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education.
Profile
What makes you a great fit
- BSc or MSc in Computer Science
- Minimum of 8 years of experience in backend and infrastructure development
- At least 3 years of hands-on experience with one of: Python, Go, Rust, Java, C, C#, C++
- Experience in large-scale production microservices environments and devops operations
- Deep understanding of distributed systems and microservices architectures
- Proficiency with cloud platforms (AWS, GCP, or Azure) and at least 2 years of experience with containerization technologies like Docker and Kubernetes
Benefits
What's in it for you
- Competitive compensation including equity
- Hybrid working model with spacious office near Chancery Lane
- Weekly team lunches
- Comprehensive health scheme offered through AXA
- Joining a global employer with over 600 mobility deployments in 35+ countries
About
Inside Via Transporation
Via builds technology that changes the way the world moves, creating modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. They build solutions to digitize, automate, and enable data-driven decision making for entire transportation networks worldwide.