Onebridge

Backend Engineer

• Build clean, scalable, and reliable solutions that support data-driven and AI-enabled environments
• Develop and maintain clean, well-structured Python code with strong documentation and unit testing
• Deploy, troubleshoot, and optimize applications in cloud environments using Docker and Kubernetes
• Support and enhance CI/CD pipelines, improve automation, and deployment workflows
• Collaborate with cross-functional teams, including scientists, data engineers, and ML engineers, to operationalize AI and analytical tools
• Participate in code reviews, design discussions, and architectural improvements
• Ensure reliability, performance, and scalability across production systems and services.

Software Engineer, Python

Product Manager

• Own, refine, and prioritize the product backlog with an emphasis on reliability, scalability, and service management for best practices.
• Lead Agile ceremonies, including stand-ups, backlog refinement, sprint planning, and demos, while reinforcing process discipline and clear documentation.
• Partner across architecture, engineering, service operations, and offshore development teams to drive solution design and ensure operational readiness.
• Use SQL to validate data, support troubleshooting, and ensure feature requirements meet functional and service-level expectations.
• Communicate delivery status transparently through Red/Yellow/Green updates, highlighting risks, dependencies, and service impacts.
• Support process maturity by identifying operational gaps, recommending improvements, and helping define guidelines, standards, and repeatable workflows.

Product Owner – Service Management

Data Engineer

• Build and deploy A/B tests, multivariate tests, and personalization campaigns across digital channels using Adobe Target
• Design and maintain AEP components including XDM schemas, identities, Real-Time Customer Profile, and Adobe Web SDK (Alloy.js) configurations
• Implement and manage Adobe Tags (Launch) and event tracking needed for data collection, targeting, and analytics workflows
• Collaborate with onshore stakeholders and offshore development teams in India
• Troubleshoot issues across audience qualification, test delivery, APIs, tags, and data flows
• Participate in Agile processes, daily standups, sprint planning, and documentation

Data Engineer – Adobe Experience Platform

Engineer

• Build, implement, and manage A/B and multivariate tests as well as personalization campaigns across digital channels.
• Collaborate with development, analytics, and marketing teams to translate business goals into executable experiments.
• Manage the setup and configuration of testing infrastructure across multiple rendering environments (SPA, SSR, hybrid).
• Monitor test performance and ensure accurate data collection and reporting through analytics tools.
• Troubleshoot issues related to targeting, test delivery, or audience qualification.
• Contribute to continuous improvement of testing processes, documentation, and best practices.

Architect

• Provide technical leadership for Adobe Experience Platform implementations, ensuring adherence to best practices.
• Collaborate with product owners, program managers, and development teams (onshore/offshore) to deliver data and AI-driven solutions.
• Design and architect solutions using Adobe XDM, SEP, Target Analytics, CJA, RTCDP, and AJO to enhance customer insights and marketing automation.
• Lead the integration of Adobe tools with data platforms to drive analytics, personalization, and customer experiences.
• Communicate progress, risks, and updates clearly to both technical and non-technical stakeholders.
• Oversee multiple projects, conduct architecture reviews, provide technical guidance, and ensure timely, high-quality delivery.

Adobe Architect

Software Engineer

• Develop, enhance, and maintain Qlik Sense applications, data models, and dashboards.
• Build and optimize Qlik load scripts, data transformations, and ETL logic for performance and reliability.
• Collaborate with business users to gather requirements and translate them into effective reporting solutions.
• Integrate Qlik apps with various data sources, ensuring accurate, complete, and high‑quality data.
• Analyze and troubleshoot data issues, optimize performance, and ensure stability across BI assets.
• Document development standards, data flows, and application logic to support long‑term sustainability.

Qlik Developer

• Architect and maintain scalable, secure, and high-performing data pipelines to support analytics, reporting, and operational needs
• Develop and deploy production-grade data engineering code, ensuring reliability and performance across environments
• Manage end-to-end data workflows, including ingestion, transformation, modeling, and validation for multiple business systems
• Lead daily execution and prioritization, breaking down tasks, assigning work, and ensuring timely delivery of initiatives
• Collaborate cross-functionally with BI analysts, technology teams, and business stakeholders to design solutions that align with strategic goals
• Monitor and optimize data infrastructure for performance, cost efficiency, and scalability, leveraging automation where possible