About Us
DeepSea is a maritime technology leader, providing a unified optimisation platform that helps shipping companies cut fuel consumption, reduce emissions, and transform vessel performance across entire fleets.
Built on the most advanced maritime AI data pool in the world, DeepSea’s platform powers everything from vessel monitoring to advanced automation - helping clients achieve measurable results with clarity, speed and scale.
We are trusted by some of the world’s most forward-thinking ship owners and operators, and our team spans Greece, the UK, Armenia, Romania, Singapore and Japan. As the shipping industry undergoes enormous change, we are at the centre of that transition - helping our customers take control, reduce risk, and build competitive advantage.
About the position
We are looking for a backend engineer specialized in Python/FastAPI. The ideal candidate will have a good grasp of AI-driven development in all stages of the Software Development Life Cycle (SDLC), including analysis, planning, development, code review and testing to maximize productivity and precision engineering. You will contribute to the evolution and/or AI-native refactor/rewrite of our backend services and ensure our platform remains scalable, reliable, and aligned with customer needs.
Our products are used by shipping company engineers and captains to optimise the technical operations and navigation of their vessels, powered by our in‑house AI and optimisation algorithms. You will need to develop a solid understanding of the domain and our research output to design backend improvements that support our growing product suite.
Our cloud platform runs on AWS, with some of our services under EKS. Our backend services are currently implemented in Java/Spring Boot and Python.
Main responsibilities:
Design, develop, and maintain backend services in Python using frameworks like FastAPI.
Collaborate with engineers, architects, and product owners to translate requirements into scalable backend solutions.
Work in an AI-driven manner in all stages of the Software Development Life Cycle (SDLC), including analysis, planning, development, code review and testing to maximize productivity and precision engineering. Work in an AI-driven manner in all stages of the Software Development Life Cycle (SDLC), including analysis, planning, development, code review and testing to maximize productivity and precision engineering.
Contribute to the refactor/rewrite of existing services and refactor/rewrite of existing services and development of new services in the Python stack.
Ensure high performance, reliability, and maintainability across all backend components.
Implement unit tests and participate in code reviews to uphold engineering standards.
Work with relational databases, caching layers, and message brokers.
Support the transition of our entire infrastructure toward container orchestration (EKS).
Produce clear, maintainable documentation for services and APIs.
Main requirements:
BSc / MSc degree in Engineering, Computer Science, or related field.
8+ years of hands‑on backend development experience.
Strong experience with Python (3.8+) and asynchronous frameworks, specifically FastAPI.
Ability to work in an AI-driven manner in all stages of the Software Development Life Cycle (SDLC), including analysis, planning, development, code review and testing to maximize productivity and precision engineering.
Solid understanding of RESTful API design, message brokers, microservices, and distributed systems.
Strong SQL knowledge and experience with relational databases.
Experience with caching technologies (Redis, Memcached, or similar).
Proficient with Git and modern development workflows.
Good understanding of software design principles, concurrency, and scalable architectures.
Ability to write clean, maintainable, well‑structured code.
Experience working in Linux environments.
Strong analytical and problem‑solving skills.
Excellent communication skills in English.
Nice to have:
Familiarity with Databricks, mcp servers and gateways
Experience with NoSQL or time‑series databases.
Familiarity with AWS services and cloud‑native architectures.
Experience with Docker and containerized deployments.
Exposure to message brokers (RabbitMQ, Kafka).
Familiarity with CI/CD pipelines and Atlassian tools (Jira, Confluence, Bitbucket).
Understanding of JVM internals.
Interpersonal skills:
Strong interest in emerging technologies and backend engineering trends.
Collaborative mindset and willingness to work across teams.
Ability to operate in a dynamic environment with evolving requirements.
Attention to detail and commitment to high‑quality deliverables.
Strong organizational skills and ability to manage multiple tasks.
What we offer
You will be part of a dynamic team focused on delivering results and continuous improvement while disrupting the industry, and will also receive:
Competitive remuneration package: Skill & experience-based salary and eligibility for additional employee benefits.
Health Package: Private health insurance coverage and mental health - therapist benefit
Paid leaves: emergency and medical leaves.
Learning and Development Package: Access to courses platform and eligibility for seminars, conferences and workshops
Remote Flexibility: Great office space in the heart of Athens with hybrid option.
At DeepSea, we are looking for people who share our values and are aligned with our mission. It is important to us to ensure that no-one who is eager and capable of contributing constructively to our team is excluded because of ethnic or social origin, gender or sexuality, age or family status, disability or medical conditions etc. Diversity is well-proven to be a vital characteristic of teams that succeed, so we do everything we can to make our environment welcoming and safe for everyone.
Data Privacy
The company ensures that the personal data of candidates is handled with care and in compliance with GDPR regulations. Your personal data will be stored securely and only for the duration necessary under the law. If the recruitment process is unsuccessful, your data will be retained for 5 (five) years to consider you for future opportunities. After this period, your data will be deleted or destroyed. In case you do not wish for the company to keep your CV and personal data, please send an e-mail to [email protected].
