Our Partner is currently seeking a
Software Engineer to work on a suite of services that will supply users with tools to automate a wide range of enterprise-wide applications and data centric mission management applications, with a focus on artificial intelligence and machine learning (AI/ML). The candidate will be part of a team of Software Developers, ETL Developers, and Data Scientists to enhance existing production applications and build out new web services on a routinized production cadence to meet the evolving needs of users. This role is focused on developing high-performance, distributed systems that operate on petabyte-scale structured and unstructured data, enabling mission users to rapidly access, process, and exploit critical information.
You will operate at the intersection of big data, distributed systems, and mission analytics, building core platform capabilities such as ingest pipelines, text extraction services, and search infrastructure that directly enable downstream analytics, AI, and operational workflows.
This is a hands-on technical leadership role for engineers who thrive on building scalable systems from the ground up, solving hard data problems, and delivering production-grade capabilities that operate in high-stakes, real-world environments.
Responsibilities- Integrate AI/ML technology into a production web application
- Participate with iterative software development teams with adherence to all reporting requirements
- Design, develop, and unit test code for a production system and demonstration capabilities
- Develop rapid prototypes to drive out requirements and design
- Provide demonstrations and detailed walk through of features to a variety of technical and non-technical audiences
- Meet with stakeholders, analyze requirements, develop user stories, and translate these into software development tasks
- Develop technical documentation and briefing materials to support program status reviews, control gates, and other presentations as directed
- Write and maintain technical documentation for application workflows, integrations, and compliance procedures
- Optimize and enhance application performance, ensuring scalability and security
Requirements- TS/SCI FSP Clearance
- Significant proficiency 6-8 years in Linux - shell scripting, mounting drives, text editing with vi or emacs, system diagnostic checks [memory management, process running]
- 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 6-8 years of demonstrated ability to design, develop, test and implement new applications based on project requirements
- Demonstrated 4-6 years in backend development - must be proficient in both Python and Java
- Demonstrated 4-6 years in frontend development like Angular
- Demonstrated 6-8 years of AWS Architecture design proficiency
- 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
- Minimum 2-4 years of demonstrated (Extract, Transform, Load - ETL) with large structured and unstructured raw data sets
- Demonstrated 2-3 years working with AI/ML development and data science understanding
- Demonstrated experience on Agile software development teams following Agile methodologies, including Scrum and Kanban
- Demonstrated experience using Jira, Confluence, and GitHub for documenting work and team collaboration
- The 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
Desired Skills- Demonstrated experience with 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
- Demonstrated 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
- Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow whether through education or experience
- Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) whether through education or experience
- Demonstrated experience with Relational or Non-Relational data stores such as MySQL, Postgres, MongoDB, or DynamoDB whether through education or experience
- Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing whether through education or experience
- Demonstrated 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
