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abra is hiring a Microsoft Fabric Architect to join our Data & AI Division! Are you passionate about designing modern cloud data platforms and driving enterprise-scale architecture? Join Abra's Data & AI Division and play a key role in building secure, scalable, and automated data solutions using Microsoft Fabric and Azure. Responsibilities
* Design and implement enterprise-scale data platform architecture using Microsoft Fabric.
* Lead the design and implementation of CI/CD processes, Git integration, and deployment pipelines for Microsoft Fabric.
* Define and promote DevOps, security, governance, and architectural best practices.
* Design cloud-native data solutions leveraging Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, and Azure networking (VNet & Private Endpoints).
* Develop and maintain deployment automation using Azure DevOps, YAML Pipelines, ARM Templates, and PowerShell.
* Collaborate with Data Engineers, BI Developers, Architects, and business stakeholders to deliver high-quality, scalable solutions.
* Drive technical leadership, architectural standards, and continuous improvement across enterprise data platforms.

We are looking for a Senior Full Stack Engineer who thrives at the intersection of intelligent systems and polished product experiences. You'll work across the entire stack from designing React interfaces that surface AI capabilities to engineers and end users, to building the Python and Node.js services that power our LLM-based Agentic platform. A key part of this role is hands-on experience with designing, building, and integrating MCP servers that connect our AI agents to internal tools, financial data systems, and third-party APIs. You'll collaborate closely with product, compliance, and cross-functional engineering teams to build financial technology that's fast, secure, and genuinely intelligent.
Who You Are:
You have experience building Retrieval‑Augmented Generation (RAG) systems or knowledge‑base chatbots.
You're Hands‑on with vector databases such as Pinecone, Chroma, or pgvector on Postgres/Aurora.
Have AWS certification (Developer, Solutions Architect, or Machine Learning Specialty).
Experience with observability tooling (Datadog, New Relic) and cost‑optimization strategies for AI workloads.
Background in microservices, domain‑driven design, or event‑sourcing patterns.
What Youll Actually Be Doing:
Design, build, and continuously improve our LLM-based Agentic platform. Own end-to-end architecture decisions from model orchestration and prompt design to retrieval pipelines, tool-calling patterns, and evaluation frameworks.
Architect and build high-performance services in Python and/or Node.js. Design systems for extreme speed, reliability, and real-time data processing under high traffic conditions.
Design and maintain MCP servers that give AI agents structured, secure access to internal banking systems, external APIs, databases, and developer tools making Agentic platform composable and extensible by design.
Build intuitive React interfaces that expose AI capabilities like chat interfaces, agentic dashboards, real-time streaming UIs, and internal tooling. Own state management patterns and component architecture at scale.
Partner with product managers, business stakeholders, compliance, and engineering teams to translate vision into scalable technical requirements and roadmaps.
Design and ensure the platform meets enterprise-grade security and financial regulatory standards.
Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and production of AI systems. Help define coding standards and contribute to a culture of engineering excellence.
Evaluate emerging models, frameworks, and tooling. Prototype and integrate the most impactful advances into our platform and internal developer productivity tooling.

Required Support Operations Lead
This role is central to driving operational excellence across the support organization, ensuring teams can deliver fast, high-quality service at scale. It leads the design and continuous improvement of support processes, workflows, and policies, while identifying opportunities for automation and efficiency gains. The position owns performance measurement through KPIs, dashboards, and analytics, translating data into actionable insights that shape strategic decisions. It also partners closely with cross-functional teams to enhance systems, tools, and end-to-end support experiences.
With broad ownership and visibility, this role empowers the individual to influence how support operates globally, drive meaningful change, and elevate both customer and employee experience through smarter, more scalable operations.
The Support Operations Lead will be measured on:
Improvement in SLA performance
Reduction in response and resolution times
Increased support team productivity
Improvement in CSAT and customer experience metrics
Successful implementation of operational initiatives
Adoption and effectiveness of support tools and processes
Reports To: VP Technical Support
What Youll Actually Be Doing
Support Operations & Process Management:
Design, implement, and continuously improve support processes, workflows, and operational standards.
Identify inefficiencies and drive automation initiatives to improve productivity and customer satisfaction.
Drive initiatives to improve service quality, operational efficiency, and customer experience.
Lead operational readiness for new product launches, feature releases, and organizational changes.
Collaborate with Support Leadership, Product, Engineering, Customer Success, and Business Operations teams.
Performance Management & Analytics:
Define and monitor key support KPIs
Build dashboards and reports to provide visibility into support performance and trends.
Analyze operational data and present recommendations to leadership.
Systems & Tools Administration:
Own and optimize support platforms such as CRM, ticketing, workforce management, and knowledge management systems.
Partner with IT, Engineering, Product, and Customer Success teams on system integrations and enhancements.
Evaluate and implement new technologies, including AI-powered support solutions.