About Orca AI

Orca AI is transforming the maritime industry through cutting-edge computer vision, augmented reality, and autonomous technologies.

Our mission is to make global shipping safer, more efficient, and more sustainable.

We build real-time navigation and AI-driven systems that help fleets around the world reduce fuel consumption, avoid collisions, and operate smarter at sea.

The Role

We are looking for a Senior Software Engineer who thrives on solving complex engineering problems and building production-grade, real-world systems at scale.

You will work across the stack on a unique platform that combines edge computing, real-time sensor data, video analytics, and cloud infrastructure.

This role is ideal for engineers who enjoy end-to-end ownership, high technical depth, and working in a multidisciplinary environment with AI, product, and systems teams.

What You’ll Do

• Design and build scalable, reliable systems across backend and infrastructure layers
• Own features end-to-end — from design and implementation to production deployment
• Work on real-time systems combining sensor data, video streams, and cloud services
• Collaborate closely with Product Managers, System Engineers, and AI researchers
• Build and maintain CI/CD pipelines and automated testing frameworks
• Champion engineering quality through clean code, testing, and best practices (TDD mindset)
• Mentor engineers and contribute to technical leadership within the team

Requirements

• 5+ years of software engineering experience
• 2+ years of hands-on experience with Python
• Strong background in backend development and microservices architecture
• Experience designing scalable, distributed systems
• Proficiency with both SQL and NoSQL databases
• Experience with CI/CD pipelines and modern testing practices
• Strong understanding of TDD and quality-first engineering
• Excellent communication skills in English

Nice to Have

• B.Sc. in Computer Science / Engineering (or equivalent experience)
• Experience in startup or fast-paced multidisciplinary environments
• Knowledge of multi-threaded / concurrent systems
• Hands-on experience with AWS (Lambda, SQS, CloudFront, EKS)
• Familiarity with Docker, Kubernetes, and REST APIs
• Exposure to computer vision or AI systems
• Background in video systems (streaming, encoding, media pipelines)