Software Engineer (Manager)

Key Responsibilities

• 4-6 years in backend development - must be proficient in both Python and Java
• 4-6 years in frontend development like Angular
•  6-8 years of AWS Architecture design proficiency
• Significant proficiency 6-8 years in Linux - shell scripting, mounting drives, text editing with vi or emacs, system diagnostic checks [memory management, process running]
• 2-3 years working with AI/ML development and data science understanding
• Working with Agile software development teams following Agile methodologies, including Scrum and Kanban.
• Using Jira, Confluence, and GitHub for documenting work and team collaboration.
• Minimum 6-8 years of experience with SQL and NOSQL databases
• Minimum 6-8 years of demonstrated experience with development and deployment of applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment.
• Minimum 6-8 years of demonstrated experience with search & analytic tools. Examples to include ElasticSearch, Solr/Lucene, OpenSearch.
• Minimum 2-4 years of demonstrated (Extract, Transform, Load - ETL) with large structured and unstructured raw data sets.
• Minimum 6-8 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 6-8 years in Object Oriented programming. Python is preferred software development language.

Highly Desired Qualifications

• Using 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.
• Working with 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.
• Using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing whether through education or experience.
• Using some of the following; Optical Character Recognition (OCR), Search Ranking, Duplicate Detection, Bidirectional Encoder Representations from Transformers (BERT), Image Recognition, Fuzzy Search, Named Entity Recognition (NER), Document Categorization.

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.