Jobs at OneMagnify

Build and maintain full-stack applications, including responsive frontend interfaces, backend APIs, microservices, authentication, databases, third-party integrations, automated tests, and CI/CD pipelines. Participate in code reviews, architecture discussions, Agile ceremonies, deployment automation, troubleshooting, and secure coding practices.

Ensures client requirements are correctly implemented in deliverables. Reviews requirements, develops test scenarios, and executes repeatable automated test cases to verify product quality and alignment with expectations. Collaborates closely with Agile, Product Management, and Development teams to validate work delivered to clients.

Builds and operates secure, scalable cloud infrastructure for generative AI applications. Responsibilities include AI/LLMOps pipelines, CI/CD automation, infrastructure as code, Docker and Kubernetes orchestration, observability, SRE practices, security governance, and developer enablement. The role supports reliable production deployment, monitoring, evaluation, and lifecycle management of AI workloads across Google Cloud.

Develop and maintain Java web applications and RESTful APIs using Spring, microservices, cloud-native practices, and secure coding standards. Build containerized applications, CI/CD pipelines, automated tests, database solutions, and modern front-end interfaces. Collaborate in Agile teams, participate in design and code reviews, troubleshoot production issues, optimize performance, and support global applications. The role also involves application security, cloud deployment, data management, and occasional off-hours production support.

Leads an engineering team delivering secure, scalable .NET applications and RESTful APIs. Oversees solution implementation, cloud deployment across GCP and Azure, Docker containerization, CI/CD, application security, database performance, automated testing, documentation, and compliance. Manages engineer performance and development, coordinates with product and architecture stakeholders, evaluates technologies and vendors, and provides project and team updates to leadership and clients.

Leads a cross-functional analytics team delivering sales, marketing, customer, and business performance insights. Manages people and projects, develops dashboards and reports, analyzes KPIs and campaign effectiveness, and translates complex data into recommendations for leadership and clients. The role involves querying and modeling large datasets, automating analytics processes, building customer profiles and forecasting models, and using AI-powered tools to improve efficiency and business outcomes.

Design, develop, and maintain web applications using Microsoft .NET; design databases and ETL; write code, tests, and documentation; mentor junior developers; perform code reviews, integration testing, and production support; coordinate small projects with PM, QA, and infrastructure teams.

Leads technical delivery for website, web services, database, and interactive technology projects. Manages onshore and offshore development teams, defines client requirements, troubleshoots and deploys code, supports architecture and security initiatives, coordinates technical schedules and priorities, contributes to staffing and pricing, and develops project functionality. Requires hands-on data engineering and application development experience with Python, SQL, databases, Databricks, and cloud platforms.

Develop and deploy AI, generative AI, and LLM solutions that support credit risk modelers. Build and validate credit risk models using GCP, SAS, R, and Python; apply statistical and machine learning techniques; analyze results; document modeling processes; support model development; conduct ad hoc analytics; and implement secure, governed AI tools for analytical workflows.

Leads OneMagnify’s AI practice by guiding client strategy, directing generative AI architecture and delivery, and translating business needs into production-ready solutions. Manages and mentors data scientists, AI engineers, and software engineers while overseeing Databricks-based data pipelines, model deployment, MLOps, and LLM applications. Partners across analytics, strategy, engineering, creative, and operations teams, presents technical concepts to executives, and contributes to evolving the company’s AI service offerings.

The Business Analyst will gather and validate requirements, translate business needs into Agile user stories, support solution design, analyze complex datasets with SQL, and conduct root cause analysis. The role partners with clients, product, UX, development, data, and QA teams throughout delivery. Responsibilities also include process modeling, payment validation, test traceability, user acceptance testing, workshops, training, client presentations, and improving analysis practices.

Leads client discovery, requirements gathering, Agile user-story development, solution design, data analysis, SQL validation, root-cause analysis, and quality assurance support. Facilitates workshops, stakeholder reviews, demonstrations, training, and user acceptance testing while coordinating application, data, UX, development, and QA teams. Provides consultative guidance throughout technology and data solution delivery, with emphasis on payment validation and accurate business outcomes.

Optimize LLM performance and implement evaluation frameworks; build clustering models for customer and product segmentation; design and maintain data pipelines using SQL and Python DAGs.

Design, build, and maintain Adobe Commerce (Magento 2) e-commerce solutions including custom modules, REST/GraphQL APIs, third-party integrations, and performant storefronts (Luma/Hyva or headless PWA). Use AI-assisted dev tools, write testable PHP, optimize caching and search (Varnish, Redis, Elasticsearch/OpenSearch), manage CI/CD pipelines, troubleshoot issues, and collaborate with product, UX, and QA while staying current on platform releases and security patches.

The role involves developing credit risk models, enhancing AI solutions, conducting statistical analyses, and collaborating with quantitative analytics teams while ensuring adherence to data privacy standards.