Overview
Custom Software Engineer role focused on hands-on development of application-heavy, cloud-native enterprise solutions, including AI integration, across multi-cloud environments.
What you'll do
- Actively develop, test, and deploy application-heavy solutions, writing clean, efficient code in languages such as Java Spring Boot and Python for backend systems.
- Contribute to front-end development using React or Angular.
- Partner with senior architects to design scalable, cloud-native application architectures focused on performance, maintainability, and integration in multi-cloud environments.
- Build and maintain integrations using APIs, microservices, and event-driven patterns (e.g., REST, GraphQL, Kafka, or message queues).
- Develop and deploy applications across AWS, Azure, and Google Cloud, ensuring portability and optimization for cost and performance.
- Implement practical AI features (e.g., automation, basic analytics) using cloud-based AI services or frameworks such as TensorFlow or PyTorch.
- Collaborate with DevOps teams to implement containerized solutions (Docker, Kubernetes) and CI/CD pipelines, with hands-on use of IaC tools like Terraform or BiCep.
- Ensure applications meet performance and security standards through code reviews, testing, and adherence to best practices.
- Work closely with developers, product managers, and infrastructure teams to translate requirements into technical implementations, providing hands-on support and mentorship.
- Stay updated on full-stack development trends, cloud technologies, and AI advancements.
What you'll need
- Must have skill: Java Full Stack Development.
- Minimum 3 years of experience is required.
- 5 to 12 years of hands-on experience in full-stack development, with at least 2 years in a lead developer or junior architect role focusing on application-heavy systems.
- Demonstrated experience building and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud).
- Strong proficiency in Java Spring Boot and Python for backend development.
- Hands-on experience with front-end frameworks like React, Angular, or similar.
- Basic exposure to AI/ML integration, such as using cloud AI services (e.g., Azure OpenAI) or simple ML frameworks.
- Practical experience with integration patterns (e.g., REST APIs, message queues) and microservices architecture.
- Familiarity with infrastructure tools like Docker, Kubernetes, and IaC (e.g., Terraform).
- Experience with cloud-native services.
- Working knowledge of DevOps practices, including CI/CD pipelines and monitoring tools.
- Understanding of secure coding practices and basic enterprise security standards (e.g., IAM, encryption).
- Strong debugging and problem-solving skills with a hands-on mindset.
- Clear communication to collaborate with technical and non-technical stakeholders.
- Ability to juggle hands-on coding with architectural design contributions.
- Bachelor's degree in computer science, Engineering, or a related field.
- 15 years of full-time education.
Nice to have
- Certifications such as Azure Developer Associate, or similar.
- Eagerness to learn and adapt to new tools, frameworks, and cloud technologies.
Details
Read the full description and apply on the company’s own careers page.