The ideal candidate will have strong experience in GoLang, Python for IoT device app development, Python for backend services, and hands-on experience working with Azure, Docker and Kubernetes. This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects.

Responsibilities:

Performs systems analysis and design.

Designs and develops moderate to highly complex applications.

Develops application documentation.

Produces integration builds.

Performs maintenance and support.

Supports emerging technologies and products.

Primary skills:

Proficiency in one or more programming languages such as GoLang,, Python, React.

Familiarity with Gen AI, LLM, RAG and usage of AI Tools.

Experience with software development frameworks/Tools such as NATS, Grafana.

Strong understanding of software development principles and best practices.

Familiarity with software testing and debugging techniques.

Knowledge of software version control systems such as Git.

Ability to design and develop scalable and maintainable software applications.

Secondary skills :

Familiarity with CI/CD tools and automated deployment pipelines.

Experience working with microservices architectures.

Familiarity with cloud computing platforms such as Azure or GCP

Experience with containerization technologies such as Docker and Kubernetes

Familiarity with Agile and DevOps methodologies.

Collaboration and communication skills.

Soft Skills:

Strong analytical and problem-solving abilities.

Excellent communication and collaboration skills.

Ability to work in a fast-paced Agile environment.

Self-driven mindset with a focus on continuous learning and improvement.

Qualifications:

Bachelor's Degree or International equivalent in Mechatronics, Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

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