Applications Developer (Full Stack Developer - SME)

Key Responsibilities

• Agile software development teams following Agile methodologies, including Scrum and Kanban.
• Using Jira, Confluence, and GitHub for documenting work and team collaboration.
• Minimum 8-10 years building web applications and UX/UI frameworks using Angular, React or JavaScript with specific examples. Java Spring framework is a plus.
• Minimum 6-8 years working in Linux Operating system.
• Minimum 4-6 years of demonstrated experience with development and deployment of applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment. Willing to consider to substitute C2S if candidate has a minimum 4-6 years of cloud computing technology to include Azure, Oracle, Google, etc.
• Minimum 2-3 years of demonstrated experience with search & analytic tools. Examples to include ElasticSearch, Solr, OpenSearch.
• Minimum 2-3 years of demonstrated (Extract, Transform, Load - ETL) with large structured and unstructured raw data sets.
• Minimum 2-4 years of demonstrated ability to design, develop, test and implement new applications based on project requirements.
• Ability to work individually as well as the ability to work in project teams. Proven ability in decomposing concepts to discrete development tasks and managing your work to a deadline.
• Minimum 6-8 years of demonstrated ability in microservices up to and including Docker, Podman, and or containerization services.
• Minimum 4-6 years in Object Oriented programming. Python is preferred software development language, but would consider Java, JavaScript, C#, SQL, Etc.

Highly Desired Qualifications

• Text analytics and its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization) whether through education or experience.
• Developing proof of concepts of new technologies and evaluating the state of the art in machine learning algorithms for text analytics whether through education or experience.
• Machine learning frameworks such as PyTorch, Keras, Tensorflow whether through education or experience.
• Data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) whether through education or experience.
• Relational or Non-Relational data stores such as MySQL, Postgres, MongoDB, or DynamoDB whether through education or experience.
• Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing whether through education or experience.

What We Offer You

• Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
• Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
• Dedicated Training Budget: Supporting continuous learning and professional development.
• 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
• 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
• 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
• 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
• Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.