[Remote] Senior Principal Consultant

Note: The job is a remote job and is open to candidates in USA. Progress Software is a trusted provider of software enabling customers to develop and manage AI-powered applications. They are seeking a Senior Principal Consultant to partner with U.S. Government customers, assess current data platforms, and define modernization roadmaps while implementing secure architectures using Progress solutions.

Responsibilities

• Partner with US Government customers as a trusted technical advisor to assess current-state data platforms and define modernization roadmaps
• Design and implement secure, scalable architectures using Progress Software solutions across data management, integration, search, and analytics
• Lead hands-on delivery from proof-of-concept through production, including installation, configuration, automation, and operational hardening
• Build and optimize APIs and data pipelines to support mission applications, including event-driven and streaming patterns where applicable
• Troubleshoot complex customer issues across application, data, and infrastructure layers; provide root-cause analysis and remediation plans
• Collaborate with customer stakeholders, engineering, and product teams to translate mission needs into technical requirements and solution designs
• Develop implementation artifacts (architecture diagrams, runbooks, deployment guides) and deliver knowledge transfer to customer teams
• Mentor teammates and contribute reusable patterns, accelerators, and best practices to improve delivery quality and consistency
• Support emerging AI-enabled use cases (e.g., semantic search, RAG) by helping customers operationalize prototypes with appropriate evaluation and governance

Skills

• US Citizen required due to access needed in this role
• Active Top-Secret clearance with Full Scope or Counter-Intelligence Poly
• Located in the United States to support a role in Honolulu HI
• Half to full-time on-site
• Strong project-based experience with NoSQL, Graph (RDF triple-stores) or relational databases
• Strong project-based experience developing enterprise-grade production software
• Project-based experience in the following areas: Programming languages such as: JavaScript, TypeScript, Java, or Python
• Project-based experience in the following areas: API-driven architectures, REST, microservices, and event-driven or streaming patterns
• Project-based experience in the following areas: Containerization technologies such as Docker or Kubernetes, including K8s platforms such as Amazon Elastic Kubernetes Service, Azure Kubernetes Service, Red Hat OpenShift, Rancher, or other enterprise-level platform
• Project-based experience in the following areas: Cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure, including common services such as EC2, S3, EBS, IAM (Amazon) or Azure Virtual Machines, Azure Blob Storage, Managed Disks, Entra ID (Azure)
• Project-based experience in the following areas: JSON or XML data modeling
• Project-based experience in the following areas: Experience across multiple programming tools, package managers, and common packages or libraries (e.g., npm, Node.js, pip, Anaconda, yum, apt)
• Project-based experience in the following areas: Advanced debugging tools (Chrome DevTools, VS Code/IntelliJ debuggers), and implementing automated testing with tools such as Postman, JUnit, PyTest, etc
• Experience using modern source code management and CI/CD tools such as GitHub, GitLab, GitLab CI, Jenkins, or Azure DevOps
• Experience using Linux administration and shell scripting
• Web development experience with React, Vue.js, Angular, or other technologies
• Experience with Business Intelligence applications like Qlik Sense, Tableau, or Power BI
• Experience with Analytics tools like SAS, R, Python libraries such as Pandas, NumPy, scikit-learn, and other advanced statistical software
• Applied experience building and deploying ML/DL solutions, including LLM-based applications, from prototype through production (model selection, fine-tuning, evaluation, and inference)
• Hands-on familiarity with modern LLM techniques, including vector embeddings, prompt engineering, and retrieval-augmented generation (RAG)
• Content or knowledge management systems, geospatial systems, or semantic search technology
• Kafka, NiFi, MuleSoft, Boomi, or other data integration technologies
• Agile development methodologies such as Scrum, SAFe, Kanban
• High capacity for learning new technologies
• Strong communication skills with ability to demonstrate and present to customers and stakeholders
• Ability to be a mentor to junior developers and consultants in the field

Benefits

• Commission plan (up to $25,000 at goal)
• Medical, dental, vision, life & disability, and financial benefits (including 401(k) retirement savings plan. Tuition Reimbursement program.
• Additional voluntary benefits including crucial illness/hospital indemnity, identity theft protection, auto & home insurance, legal, and pet insurance.
• Competitive salary, uncapped commission, and best-in-class Employee Stock Purchase Program (ESPP) with a 27-month lookback
• Flexible paid vacation time, paid day off for your birthday, and company holidays.
• A variety of leave plans, including Parental Leave.
• Employee Assistance Program (EAP) and an employee well-being program focusing on physical, mental, and financial health.

Company Overview