Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s) including Python and AWS
- Proficient use of AWS (Amazon Web Services) with experience with different type of database technologies and ability to explain architectural specs, from a technical perspective.Working knowledge of creating AWS pipelines for ingestion, dataset creation, data transformation and model training.
- Advanced knowledge of Statistics, Data Science and Machine Learning techniques. (supervised and unsupervised)
- Expertise using Scikit Learn, Pandas, TensorFlow, Keras, Spark, and NLTK for data mining and machine learning
- Ability to develop models for malware detection and malware family classification (Tensorflow/Keras, Sagemaker, AWS).
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Python, R, Java, C, C++, SQL, SDLC process and tools (GIT, Jenkins, Artifactory etc )