

Saransh Inc
Senior Decisions Engineer / Subject Matter Expert (SME) - W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Decisions Engineer/SME, remote, W2 only, with a contract length of unspecified duration. Key skills include Decisions.com, Azure Kubernetes Services, REST APIs, and microservices. Requires 12+ years IT experience, 9+ years on Decisions platform.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 8, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#DevOps #SQL Server #SQL (Structured Query Language) #Databases #Monitoring #API (Application Programming Interface) #Scripting #Data Modeling #Security #Compliance #.Net #Scala #REST API #AI (Artificial Intelligence) #Kubernetes #Docker #GitHub #Data Security #Microservices #MongoDB #Azure #Automation #Programming #Leadership #Deployment #Debugging #Cloud #ML (Machine Learning) #REST (Representational State Transfer) #Python #Java #Data Integration
Role description
Role: Senior Decisions Engineer / Subject Matter Expert (SME)
Location: Remote
W2 Position
Name
Azure Kubernetes Services
Decisions
GITHUB
Microservices
Azure API Management
Rest API
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
• Decisions Platform Development
Design, develop, and implement solutions using Decisions.com platform
Build And Maintain
• Rules engines
• Flows and workflows
• Integrations with external systems
Perform hands-on configuration, deployment, and troubleshooting
Optimize performance and scalability of decisioning solutions
• 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
• Best Practices & SME Leadership
Act as a Decisions platform SME across teams
Define And Document
• Development standards
• Coding guidelines
• Design patterns
Conduct knowledge sessions and mentoring for engineering teams
Guide teams on performance tuning, debugging, and optimization
• 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
• Data Integration & Management
Integrate Decisions Workflows With
• MongoDB / CosmosDB (Vector DBs)
• Relational Databases (SQL Server, etc.)
Design efficient data models and manage data flow pipelines
Ensure data security and compliance standards are followed
• Stakeholder Collaboration
Work Closely With
• Business teams
• Solution architects
• 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
• Flow design
• Rules engine implementation
• Integration patterns
Proficiency in REST APIs and microservices architecture
Cloud & DevOps
Hands-on Experience With
• Azure Kubernetes Service (AKS/K8s)
• GitHub Actions (CI/CD pipelines)
• Azure API Management (APIM)
Exposure to containerization (Docker/Kubernetes)
Data Technologies
Experience With
• MongoDB / CosmosDB (including vector or semi-structured data handling)
• SQL databases
Understanding of data modeling and performance tuning
Programming / Scripting
Experience In One Or More
• 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
Role: Senior Decisions Engineer / Subject Matter Expert (SME)
Location: Remote
W2 Position
Name
Azure Kubernetes Services
Decisions
GITHUB
Microservices
Azure API Management
Rest API
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
• Decisions Platform Development
Design, develop, and implement solutions using Decisions.com platform
Build And Maintain
• Rules engines
• Flows and workflows
• Integrations with external systems
Perform hands-on configuration, deployment, and troubleshooting
Optimize performance and scalability of decisioning solutions
• 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
• Best Practices & SME Leadership
Act as a Decisions platform SME across teams
Define And Document
• Development standards
• Coding guidelines
• Design patterns
Conduct knowledge sessions and mentoring for engineering teams
Guide teams on performance tuning, debugging, and optimization
• 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
• Data Integration & Management
Integrate Decisions Workflows With
• MongoDB / CosmosDB (Vector DBs)
• Relational Databases (SQL Server, etc.)
Design efficient data models and manage data flow pipelines
Ensure data security and compliance standards are followed
• Stakeholder Collaboration
Work Closely With
• Business teams
• Solution architects
• 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
• Flow design
• Rules engine implementation
• Integration patterns
Proficiency in REST APIs and microservices architecture
Cloud & DevOps
Hands-on Experience With
• Azure Kubernetes Service (AKS/K8s)
• GitHub Actions (CI/CD pipelines)
• Azure API Management (APIM)
Exposure to containerization (Docker/Kubernetes)
Data Technologies
Experience With
• MongoDB / CosmosDB (including vector or semi-structured data handling)
• SQL databases
Understanding of data modeling and performance tuning
Programming / Scripting
Experience In One Or More
• 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




