Company Overview
Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered 'Transformation Services as a Software Model' . With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.
With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers.
We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations.
Role Overview
Trianz is building a next-generation AI-native enterprise transformation platform as part of its broader agentic digital transformation vision. This is not a traditional Python backend role focused on standalone APIs or internal tooling — this role is centered around building enterprise-grade integration frameworks connecting AI-native systems, transformation platforms, and cloud-native orchestration services.
We're looking for a highly skilled Python Integration Engineer to help design and build scalable integration adapters, transformation pipelines, and event-driven orchestration frameworks powering the Concierto Modernize platform.
This is a high-autonomy, high-impact role. You will work closely with platform engineering and AI teams to build production-grade integrations across modern cloud infrastructure, Java Spring Boot ecosystems, AI orchestration platforms, and enterprise SDLC workflows.
This role is ideal for someone who thrives in ambiguity, enjoys ownership, and wants to build modern cloud-native integration systems in a fast-moving engineering environment.
Key Responsibilities
Python Integration Engineering
Design and develop Python-based integration adapters connecting Concierto Modernize REST APIs with ATX transformation and AgentCore orchestration services
Build scalable integration layers supporting enterprise transformation workflows and AI-native orchestration pipelines
Develop and maintain REST API integrations between Python services and Java Spring Boot ecosystems
Implement secure API authentication and repository integration mechanisms using IAM roles, ARN-based access, and PAT-based authentication
Data Transformation & Event-Driven Systems
Build and maintain data transformation pipelines for JSON-based assessment artifacts and transformation outputs
Design and implement schema validation and payload transformation workflows across heterogeneous enterprise systems
Develop event-driven integration patterns supporting workflow triggers, approval chains, and SDLC automation processes
Build resilient retry logic, observability instrumentation, and production-grade error handling mechanisms
Cloud-Native & Platform Engineering
Contribute to cloud-native deployment and containerized integration services using Docker and Kubernetes
Support CI/CD integration workflows using GitHub Actions, GitLab CI, and modern DevOps tooling
Collaborate with platform engineering teams to extend integration modules supporting GitHub, GitLab, Azure DevOps, Bitbucket, and AWS Transform ecosystems
Implement environment-specific configuration management and secure deployment practices
Collaboration & Ownership
Participate in technical design discussions, sprint planning, and code reviews
Work closely with platform, AI, and product engineering teams in a fast-moving environment
Take ownership of integration reliability, scalability, and maintainability across enterprise deployment models
Ideal Candidate Profile
Experience
6–8 years of hands-on Python development experience in production environments
Strong experience building enterprise integration systems and backend services
Experience working within cloud-native and distributed application environments
Strong ownership experience managing integrations and API ecosystems end-to-end
Python & Backend Engineering
Advanced proficiency with Python 3.9+
Strong expertise with FastAPI or Flask for REST service development
Experience with asynchronous programming using asyncio and aiohttp
Strong understanding of API design, REST integrations, and distributed system communication
Experience with unit and integration testing frameworks such as pytest
Integration & Data Engineering
Strong experience building and consuming REST APIs across heterogeneous systems
Experience with JSON schema design, validation, and payload transformation workflows
Familiarity with webhook architectures, event-driven systems, and API gateway patterns
Experience consuming Java Spring Boot services from Python ecosystems
Understanding of OpenAPI contracts and enterprise integration patterns
Cloud & DevOps Expertise
Hands-on experience with AWS services including boto3, IAM, and AI/ML services such as Bedrock or SageMaker
Experience with Docker, Kubernetes, and cloud-native deployment workflows
Familiarity with CI/CD pipelines, Git workflows, and environment configuration management
Exposure to observability, reliability engineering, and production support practices
Enterprise & AI Platform Exposure
Exposure to enterprise SDLC workflows including approval chains, task routing, and transformation orchestration
Familiarity with AI-native transformation platforms or orchestration ecosystems is highly preferred
Understanding of secure enterprise deployment models and customer-hosted architectures is advantageous
Mindset & Fit
Comfortable operating in fast-moving, ambiguous environments
Strong ownership mentality with willingness to drive integration systems end-to-end
Comfortable making technical decisions with incomplete information
Strong collaboration and communication skills within cross-functional engineering teams
Why choose Trianz
Personal Growth: Startup agility with enterprise impact. Experience rapid innovation cycles while working on Fortune 500 transformations.
AI-First Future: Where humans and AI revolutionize business. Lead the charge in implementing AI-driven transformation at scale.
Global Impact: Shape transformation across continents. Work with diverse teams and customers spanning Americas, Europe, Asia, and beyond.
Executive Access: Direct impact on Fortune 500 strategies. Work alongside C-suite leaders and influence major business decisions.
Ownership & Entrepreneurial Spirit: Your ideas, our platform, global impact. Zero bureaucracy culture with decision-making autonomy and rapid execution.
Equal Employment Opportunity
Trianz is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, disabled veteran, veterans (except in those special circumstances permitted or mandated by law).
or continue with email
Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered 'Transformation Services as a Software Model' . With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.
With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers.
We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations.
Role Overview
Trianz is building a next-generation AI-native enterprise transformation platform as part of its broader agentic digital transformation vision. This is not a traditional Python backend role focused on standalone APIs or internal tooling — this role is centered around building enterprise-grade integration frameworks connecting AI-native systems, transformation platforms, and cloud-native orchestration services.
We're looking for a highly skilled Python Integration Engineer to help design and build scalable integration adapters, transformation pipelines, and event-driven orchestration frameworks powering the Concierto Modernize platform.
This is a high-autonomy, high-impact role. You will work closely with platform engineering and AI teams to build production-grade integrations across modern cloud infrastructure, Java Spring Boot ecosystems, AI orchestration platforms, and enterprise SDLC workflows.
This role is ideal for someone who thrives in ambiguity, enjoys ownership, and wants to build modern cloud-native integration systems in a fast-moving engineering environment.
Key Responsibilities
Python Integration Engineering
Design and develop Python-based integration adapters connecting Concierto Modernize REST APIs with ATX transformation and AgentCore orchestration services
Build scalable integration layers supporting enterprise transformation workflows and AI-native orchestration pipelines
Develop and maintain REST API integrations between Python services and Java Spring Boot ecosystems
Implement secure API authentication and repository integration mechanisms using IAM roles, ARN-based access, and PAT-based authentication
Data Transformation & Event-Driven Systems
Build and maintain data transformation pipelines for JSON-based assessment artifacts and transformation outputs
Design and implement schema validation and payload transformation workflows across heterogeneous enterprise systems
Develop event-driven integration patterns supporting workflow triggers, approval chains, and SDLC automation processes
Build resilient retry logic, observability instrumentation, and production-grade error handling mechanisms
Cloud-Native & Platform Engineering
Contribute to cloud-native deployment and containerized integration services using Docker and Kubernetes
Support CI/CD integration workflows using GitHub Actions, GitLab CI, and modern DevOps tooling
Collaborate with platform engineering teams to extend integration modules supporting GitHub, GitLab, Azure DevOps, Bitbucket, and AWS Transform ecosystems
Implement environment-specific configuration management and secure deployment practices
Collaboration & Ownership
Participate in technical design discussions, sprint planning, and code reviews
Work closely with platform, AI, and product engineering teams in a fast-moving environment
Take ownership of integration reliability, scalability, and maintainability across enterprise deployment models
Ideal Candidate Profile
Experience
6–8 years of hands-on Python development experience in production environments
Strong experience building enterprise integration systems and backend services
Experience working within cloud-native and distributed application environments
Strong ownership experience managing integrations and API ecosystems end-to-end
Python & Backend Engineering
Advanced proficiency with Python 3.9+
Strong expertise with FastAPI or Flask for REST service development
Experience with asynchronous programming using asyncio and aiohttp
Strong understanding of API design, REST integrations, and distributed system communication
Experience with unit and integration testing frameworks such as pytest
Integration & Data Engineering
Strong experience building and consuming REST APIs across heterogeneous systems
Experience with JSON schema design, validation, and payload transformation workflows
Familiarity with webhook architectures, event-driven systems, and API gateway patterns
Experience consuming Java Spring Boot services from Python ecosystems
Understanding of OpenAPI contracts and enterprise integration patterns
Cloud & DevOps Expertise
Hands-on experience with AWS services including boto3, IAM, and AI/ML services such as Bedrock or SageMaker
Experience with Docker, Kubernetes, and cloud-native deployment workflows
Familiarity with CI/CD pipelines, Git workflows, and environment configuration management
Exposure to observability, reliability engineering, and production support practices
Enterprise & AI Platform Exposure
Exposure to enterprise SDLC workflows including approval chains, task routing, and transformation orchestration
Familiarity with AI-native transformation platforms or orchestration ecosystems is highly preferred
Understanding of secure enterprise deployment models and customer-hosted architectures is advantageous
Mindset & Fit
Comfortable operating in fast-moving, ambiguous environments
Strong ownership mentality with willingness to drive integration systems end-to-end
Comfortable making technical decisions with incomplete information
Strong collaboration and communication skills within cross-functional engineering teams
Why choose Trianz
Personal Growth: Startup agility with enterprise impact. Experience rapid innovation cycles while working on Fortune 500 transformations.
AI-First Future: Where humans and AI revolutionize business. Lead the charge in implementing AI-driven transformation at scale.
Global Impact: Shape transformation across continents. Work with diverse teams and customers spanning Americas, Europe, Asia, and beyond.
Executive Access: Direct impact on Fortune 500 strategies. Work alongside C-suite leaders and influence major business decisions.
Ownership & Entrepreneurial Spirit: Your ideas, our platform, global impact. Zero bureaucracy culture with decision-making autonomy and rapid execution.
Equal Employment Opportunity
Trianz is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, disabled veteran, veterans (except in those special circumstances permitted or mandated by law).
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