Senior Backend Engineer

Description

Orca AI is revolutionizing maritime operations with cutting‑edge computer vision, augmented reality, and autonomous technologies. Our mission is bold: make ocean shipping safer, more efficient, and significantly greener.

From real‑time navigation assistance to AI‑driven insights that reduce fuel consumption and prevent collisions, we’re building a future where ships sail smarter. Join our growing team and help shape the next generation of intelligent maritime systems used by leading fleets across the globe.

We’re looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real‑world product involving computer vision, edge computing, and scalable cloud architecture.

• Design and implement robust, scalable components across the software stack.
• Take end‑to‑end ownership of complex features—for concept to deployment.
• Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
• Contribute to a high‑performance platform that combines real‑time sensor data, video analytics, and cloud services.
• Build and maintain CI/CD pipelines and automated test frameworks.
• Lead with quality—writing clean, testable code and applying TDD principles.
• Mentor teammates, share knowledge, and help set best practices across the team.

• 5+ years of software engineering experience, with at least 2 years in Python.
• Experience building back‑end services using microservices architecture.
• Proficiency with both SQL and No
  
  SQL databases.
• Strong background in designing scalable, distributed systems.
• Hands‑on experience in CI/CD environments and modern testing frameworks.
• Solid understanding of TDD and a quality‑first engineering mindset.
• Excellent communication skills in English.

• B.Sc. in Computer Science, Engineering, or equivalent experience.
• Startup experience or work in multidisciplinary tech environments.
• Experience with multi‑threaded or multi‑tasked applications.
• Hands‑on with AWS (e.g., Lambda, SQS, Cloud Front, EKS).
• Familiarity with Docker, Kubernetes, and RESTful services.
• Exposure to computer vision or AI‑driven systems.
• Background in video systems (streaming, encoding, media servers).