Associate Software Engineer

Noctua Technology is a software engineering and consulting corporation focused on data engineering, machine learning, and cloud technologies. We are seeking a motivated and adaptable Software Engineer to join our dynamic team, where you will support the design, development, and implementation of cloud-based solutions and applications.

Responsibilities:

• Cloud Engineering and Infrastructure
• Assist in the design, implementation, and management of cloud infrastructure solutions using platforms such as AWS, Azure, or Google Cloud
• Work with senior engineers to support cloud networking, provisioning of virtual machines, storage, and cloud resources
• Contribute to the automation of cloud infrastructure provisioning through Infrastructure as Code (IaC) using tools like Terraform or CloudFormation
• Help maintain and monitor cloud environments to ensure performance, security, and cost-efficiency
• Application Development and Cloud Native Solutions
• Assist in developing cloud-native applications and services using serverless technologies, containers (Docker/Kubernetes), and APIs
• Support cloud-based application deployments using modern CI/CD pipelines and automation tools
• Collaborate with cross-functional teams to integrate cloud services with existing applications or new cloud-native applications
• Data Engineering and AI/ML
• Assist in the design and development of cloud-based data pipelines for extracting, transforming, and loading (ETL) data
• Support the integration of machine learning models and AI-powered solutions into cloud environments
• Contribute to the development and optimization of data storage solutions using cloud-based databases such as SQL, NoSQL, or BigQuery
• Participate in the development and deployment of machine learning models in the cloud, working closely with senior engineers
• Collaboration and Continuous Learning
• Work alongside senior engineers and technical leads to understand business requirements and technical specifications
• Participate in team meetings to discuss design choices, technical challenges, and cloud engineering best practices
• Continuously enhance cloud engineering, data engineering, and AI/ML skills through mentorship, hands-on experience, and self-learning
• Contribute to internal documentation and knowledge-sharing sessions to support team learning

Requirements:

• Strong foundation in software development, with experience in programming languages such as Python, Java, JavScript, or others
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud through academic projects, internships, or self study
• Strong analytical and problem-solving abilities, with the capacity to learn and adapt quickly
• Effective communication skills and a willingness to collaborate with cross-functional teams
• Passion for growing expertise in cloud engineering, software development, data engineering, and AI/ML
• Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above
• Bachelor's or advanced degree in Computer Science, Information Technology, Engineering, or a related field
• Internship or project experience working with cloud environments (AWS, Azure, GCP) or cloud-based applications
• Experience with basic containerization (Docker, Kubernetes) or cloud orchestration tools
• Exposure to cloud security best practices and cloud-based monitoring tools
• Any entry-level cloud or DevOps certification (e.g., AWS Certified Cloud Practitioner, Microsoft Certified: Azure Fundamentals) is a plus