Database Engineer Migration IRC274727
- México
- Permanente
- Tiempo completo
Authenticity, purpose, and transparency are core to Duck Creek, and we believe insurance should be there for individuals and businesses when, where, and how they need it most. Our market-leading solutions are available on a standalone basis or as a full suite, and all are available via Duck Creek OnDemand. With more than 1,000 successful implementations to date, Duck Creek removes the IT burden for insurers so they can focus on the business of insurance.
We have a flock of more than 1,800 employees across the globe and are proud to be a Flexible-First employer. We empower our employees with the choice to work from an office, from home, or on a hybrid schedule. Our flexible-first environment fosters productivity, inclusion, collaboration, and ensures a consistent employee experience regardless of location.
If working in a fast-paced, rapidly evolving company that is transforming one of the world’s oldest and largest industries sounds exciting, let us know. We are excited you are considering Duck Creek as a future employer and hope you decide to join “The Flock”!
To learn more about us, visit www.duckcreek.com and follow us on our social channels for the latest information – LinkedIn and Twitter.WHAT WE STAND FOR
Our global company celebrates & leverages the differences each employee brings to the table. Our success is a direct result of an inclusive culture where opportunities to learn from one another occur regardless of title, seniority, or background. This collaborative and team-oriented approach is at the core of how we operate and continuously improve our products, services, and systems. As such, Duck Creek is committed to providing equal opportunity to all employees and applicants – to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, gender, religion, sexual orientation, age, national origin, disability, marital, military, or any other protected status.
We strive to be an example to the world of inclusion, diversity, and equity in all things – where employees are free to be their authentic selves in the workplace and in the communities in which we live. We believe in leading by example and are proud of the diversity of our team and our shared commitment to our Core Values: We Prioritize Respect; We Listen; We Care; We Add Value; and We Lead.RequirementsRequired:
- • Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in software development.
- 3+ years of experience with cloud-native technologies and architecture including containerized compute, storage, IAM and service integration.
- Experienced in at least one popular LLM application framework, e.g. LangChain, Semantic Kernel and one vector database, e.g. Azure AI Search.
- Excellent problem-solving skills and analytical thinking abilities.
- Solid grasp of software engineering principles and best practices.
- Ability to craft clean, maintainable, and efficient code, emphasizing scalability and reusability.
- Effective communication and collaboration skills, with the ability to work in a team environment.
- Commitment to continuous learning and staying updated on industry trends and advancements.
- advanced training in machine learning, cloud architectures, or similar fields.
- Design, development, and implementation of applied AI solutions to address complex business challenges, servicing multiple products.
- Architect applications and platforms that integrate with large language models (LLMs).
- Design and development of highly available API services using either C#/.NET or Python with at least one popular backend framework, e.g. ASP.NET, Django, Flask, etc.
- Stay updated on advancements in frameworks and AI models and identify opportunities to incorporate new tools and methodologies into projects.
- Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical specifications.
- Evaluate and select appropriate AI models and techniques to achieve desired outcomes, considering factors such as model performance, scalability, and interpretability.
- Develop and maintain robust codebases, adhering to best practices for code quality, testing, and documentation.
- Provide technical guidance, mentorship, and support to junior developers and team members, fostering a culture of learning and knowledge sharing.
- Curate automated deployment (CI/CD) pipelines, delivering services and AI models into production environments, ensuring scalability, reliability, and security.