Lead Software Engineer (Big Data / Platform Architect)

TL;DR

Lead Software Engineer (Big Data / Platform Architect): Developing high-performance distributed systems operating on petabyte-scale structured and unstructured data with an accent on ingest pipelines, text extraction services, and search infrastructure. Focus on integrating AI/ML into production web applications, designing scalable microservices, and optimizing performance for mission-critical analytics.

Location: Onsite in Sterling, VA. TS/SCI with Polygraph required Day 1

Company

hirify.global provides cyber space operations, data intelligence, systems integration, and mission support services to intelligence community, defense, civil, and commercial markets.

What you will do

• Integrate AI/ML technologies into production web applications.
• Design, develop, unit test, and deploy code for high-performance distributed systems.
• Build rapid prototypes to refine requirements and demonstrate capabilities.
• Collaborate with stakeholders to analyze requirements, create user stories, and translate into development tasks.
• Optimize application performance, scalability, and security.
• Develop technical documentation, briefing materials, and provide demonstrations to technical and non-technical audiences.

Requirements

• 4-6 years backend development: proficient in Python and Java
• 4-6 years frontend development: Angular
• 6-8 years AWS architecture design
• 6-8 years Linux proficiency: shell scripting, system diagnostics
• 2-3 years AI/ML development and data science
• 6-8 years SQL/NoSQL databases, search tools (ElasticSearch, Solr, OpenSearch)
• 6-8 years C2S/AWS cloud deployment, microservices, containerization (Docker)
• Agile experience (Scrum, Kanban), tools: Jira, Confluence, GitHub
• 2-4 years ETL with large datasets

Nice to have

• Text analytics experience (search, entity extraction, sentiment analysis)
• Machine learning frameworks: PyTorch, Keras, TensorFlow
• Data visualization tools: Tableau, Pandas, D3.js
• Data stores: MySQL, Postgres, MongoDB, DynamoDB
• NLP tools: spaCy, NLTK, Stanford CoreNLP, Gensim
• OCR, BERT, NER, document categorization

Culture & Benefits

• Collaborative environment with talented teams focused on innovation and complex problem-solving.
• Hands-on technical leadership in high-stakes real-world environments.
• Adherence to Agile methodologies with iterative development and reporting.