Senior Decisions Engineer


Keylent
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Job Details
Skills
- .NET
- API
- API Management
- ATLAS
- Analytical Skill
- Artificial Intelligence
- Cloud Computing
- Continuous Delivery
- Collaboration
- Communication
- Conflict Resolution
- Continuous Integration
- Cosmos-Db
- Data Flow
- Data Integration
- Data Modeling
- Data Security
- Database
- Debugging
- Design Patterns
- DevOps
- Docker
- Durable Skills
- Enterprise Integration
- GitHub
- IT Management
- Java
- Kubernetes
- Leadership
- Machine Learning (ML)
- Management
- Mentorship
- Microservices
- Microsoft Azure
- Microsoft SQL Server
- MongoDB
- Optimization
- Performance Tuning
- Problem Solving
- Python
- Regulatory Compliance
- Relational Databases
- SQL
- Scalability
- Scripting
- Software Design
- Stakeholder Management
- Workflow
Summary
Senior Decisions.com Engineer / Subject Matter Expert (SME) with strong hands-on experience in the Decisions platform. The candidate will be responsible for designing, developing, and implementing decisioning workflows, guiding engineering teams, and establishing best practices for enterprise-scale implementations.
Key Responsibilities
1. Decisions Platform Development
• Design, develop, and implement solutions using Decisions.com platform
• Build and maintain:
o Rules engines
o Flows and workflows
o Integrations with external systems
• Perform hands-on configuration, deployment, and troubleshooting
• Optimize performance and scalability of decisioning solutions
2. Architecture & Solution Design
• Define end-to-end architecture for Decisions-based solutions
• Collaborate with business stakeholders to translate requirements into technical workflows
• Ensure solutions align with enterprise standards, scalability, and security
• Drive API-led and microservices-based architecture where applicable
3. Best Practices & SME Leadership
• Act as a Decisions platform SME across teams
• Define and document:
o Development standards
o Coding guidelines
o Design patterns
• Conduct knowledge sessions and mentoring for engineering teams
• Guide teams on performance tuning, debugging, and optimization
4. DevOps & Cloud Integration
• Implement CI/CD pipelines using GitHub Actions
• Manage deployments on Azure Kubernetes Service (AKS/Kubernetes)
• Integrate with Azure API Management (APIM) for API exposure
• Ensure automated deployments, monitoring, and rollback strategies
5. Data Integration & Management
• Integrate Decisions workflows with:
o MongoDB / CosmosDB (Vector DBs)
o Relational Databases (SQL Server, etc.)
• Design efficient data models and manage data flow pipelines
• Ensure data security and compliance standards are followed
6. Stakeholder Collaboration
• Work closely with:
o Business teams
o Solution architects
o DevOps teams
• Participate in requirement discussions and solution walkthroughs
• Provide technical leadership during design reviews
Required Skills & Experience:
Core Skills
• Strong hands-on experience with Decisions.com platform
• Expertise in:
o Flow design
o Rules engine implementation
o Integration patterns
• Proficiency in REST APIs and microservices architecture
Cloud & DevOps
• Hands-on experience with:
o Azure Kubernetes Service (AKS/K8s)
o GitHub Actions (CI/CD pipelines)
o Azure API Management (APIM)
• Exposure to containerization (Docker/Kubernetes)
Data Technologies
• Experience with:
o MongoDB / CosmosDB (including vector or semi-structured data handling)
o SQL databases
• Understanding of data modeling and performance tuning
Programming / Scripting
• Experience in one or more:
o Java / .NET / Python (preferred for integrations)
• Familiarity with scripting and automation
Soft Skills
• Strong communication and stakeholder management skills
• Ability to mentor and guide engineering teams
• Excellent problem-solving and analytical mindset
• Proactive and ownership-driven approach
Experience Level
• 12+ years overall IT experience
• 9+ years working specifically on Decisions platform (or similar decisioning tools)
Key Success Criteria
• Successful implementation of scalable decisioning workflows
• Establishment of reusable best practices across teams
• Improved delivery timelines through optimized architecture & DevOps
Nice-to-Have Add-ons (for strong candidates)
• Experience with AI/ML integrations or Decision Intelligence
• Knowledge of vector search / embeddings (Cosmos DB vectors, MongoDB Atlas Search)
• Exposure to enterprise integration frameworks
- Dice Id: 10423210A
- Position Id: 9017711
- Posted 2 hours ago
Company Info
About Keylent
We have been involved with the industry for over 2 decades and have seen the up's and down's. We have weathered bad times and enjoyed good times by putting our client needs ahead of ours. We continue to do the same thing.
We take great care of our Talent Acquisition and Administrative staff who in turn put in their best work to fulfill our Consultant and Client needs.
Our Clients and our Consultants have a variety of choices and we are thankful that they have chosen Keylent.
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