Software Engineering Lead
Há 3 dias
Are you ready to revolutionise the world with TEKEVER?
Join us, the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation.
We offer a unique surveillance-as-a-service solution that provides real-time intelligence, enhancing maritime safety and saving lives.
TEKEVER is setting new standards in intelligence services, data and AI technologies.
Become part of a dynamic team transforming maritime surveillance and making a significant impact on global safety.
At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to facilitate critical decisions.
If you're passionate about technology and eager to shape the future, TEKEVER is the place for you
Job Overview: As the Software Engineering Lead within the Data & AI team, you will be responsible for leading a team of Software Engineers in the design, development, integration and deployment of advanced software solutions related to our Data & AI systems.
You will play a critical role in shaping the software architecture, ensuring scalability, performance, and reliability while driving innovation in real-time intelligence, AI-powered analytics, and mission-critical applications.
Typical software products that this role will focus on relate to our Computer Vision & Object Detection frameworks, Data Science products, advanced navigation solutions, and Advanced Analytics & Insights products, as well as the integration of those across our broader product portfolio.
What will be your responsibilities: Leadership & Mentorship: Lead and mentor a team of Software Engineers, fostering a collaborative and high-performance culture while supporting professional growth.
Roadmap development for the Software Engineering team.
Project Leadership: Lead small software teams for focused projects, ensuring timely delivery and high-quality outcomes.
Requirement Analysis & Development: Analyze high-level requirements and translate them into detailed specifications.
Software Architecture & Development: Design, develop, integrate and deploy robust, scalable, and high-performance software for the Data & AI team.
Documentation & Communication: Together with Product Owners, communicate new features and improvements across the company through clear documentation and release notes.
Agile Development: Collaborate as part of an Agile team, contributing throughout the full software lifecycle.
Validation & Verification: Ensure software quality and performance through rigorous validation, verification, and testing, with strong experience in software quality, coding standards, metrics and the use of automated tooling to support these aspects.
Field Trials Support: Support field trials, ensuring software meets required standards in real-world conditions.
Software Testing & Integration: Perform rigorous software testing and integration to ensure smooth deployments and product stability.
Process Improvement: Help improve software engineering processes to enhance development efficiency.
Review & Approve Changes: Coordinate the review and approval of software changes, ensuring they meet quality standards and align with project goals.
Innovation & Continuous Learning: Stay up to date with modern software technologies, best practices, and advancements in AI and autonomous systems.
Profile and requirements: Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field.
PhD is a plus.
Experience: 5+ years of experience in hands-on delivery of professional software engineering solutions with at least 2 years in a leadership or managerial role.
Technical Expertise: Strong proficiency in programming in C++, C# and Python.
Deep experience in software architecture patterns and software integration as well as API development.
Strong understanding of SOLID principles and modern software design patterns.
Experience with optimisation of software engineering processes.
Experience with unit testing, version control (Git), and build pipelines.
Experience with multi-threaded development and distributed software systems.
Deep experience in the improvement of software quality.
Strong understanding of database management systems.
Experience with Atlassian Jira, Confluence, and Agile methodologies.
Solid understanding of Linux systems and DevOps tools.
Experience with cloud platforms (AWS, Azure, GCP), microservices, and distributed systems.
Strong knowledge of DevOps best practices, including CI/CD, containerization (Docker, Kubernetes), and telemetry monitoring.
Familiarity with Docker, Intel & ARM architectures, and OpenGL.
Familiarity with QT and QML or similar technologies.
Bonus points: Experience with AI, ML, data processing, or real-time intelligence systems is a plus.
Experience with Rust is a plus.
Familiarity with embedded systems and real-time operating systems is a plus.
Familiarity with CUDA for GPU programming and experience with efficiency optimizations is a plus.
Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering scalable and efficient data solutions.
Leadership: Proven leadership skills with experience in building and leading high-performing teams.
Communication: Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
Project Management: Strong project management skills with the ability to manage multiple projects and priorities simultaneously.
Attention to Detail: High attention to detail and a commitment to ensuring data quality and accuracy.
Adaptability: Ability to work in a fast-paced, dynamic environment and manage multiple priorities simultaneously.
What we have to offer you: An excellent work environment and an opportunity to create a real impact in the world; A truly high-tech, state-of-the-art engineering company with flat structure and no politics; Working with the very latest technologies in Data & AI, including Edge AI, Swarming - both within our software platforms and within our embedded on-board systems; Flexible work arrangements; Professional development opportunities; Collaborative and inclusive work environment; Salary compatible with the level of proven experience.
Do you want to know more about us ?
Visit our LinkedIn page at https://www.linkedin.com/company/tekever/
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