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Recently posted jobs
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Perform functional, integration, system, and regression testing; design and execute test cases; log and track defects; support UAT and production validation; coordinate with BAs and developers; maintain test reports and metrics; participate in Agile ceremonies and contribute to testing best practices.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Design and deliver end-to-end Marketing Mix Modeling (MMM) solutions: data collection, cleaning, EDA, feature engineering, short- and long-term modeling, validation, and media budget optimization. Build production-quality Python code, use Git, present insights to stakeholders, and drive client engagements for continuous improvement of MMM deployments.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Design, implement, and govern scalable, secure AWS architectures; lead cloud migrations and multi-account environments; build IaC (Terraform/CloudFormation); ensure security/compliance, HA/DR, monitoring, cost optimization, and FinOps; collaborate with DevOps, Security, and business teams and mentor cloud engineers.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Test mobile applications: create and execute test plans, use Charles Proxy for network debugging, track issues with Jira/Asana/TestRail, work independently and collaboratively, communicate effectively, and demonstrate passion for games.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Test mobile games and apps, create and execute test plans, use Charles Proxy and test management tools (JIRA/Asana/TestRail), communicate effectively, work independently and collaboratively, and demonstrate passion for games.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Test Engineer responsible for mobile platform testing using Charles Proxy. Create and execute test plans, use Jira and TestRail for tracking, communicate effectively, work independently and in teams, and support game testing with fast learning and passion for games.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Lead and execute game testing activities: write test plans, report and communicate bugs, participate in scrum meetings, manage a team of 7–8, and own test strategy, status reports, and metrics.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Plan, configure, and execute live game offers, events, and cosmetic content. Coordinate across PMs, designers, QA, marketing and production, manage localization and TIDs, document campaigns, troubleshoot live-config issues, and optimize content based on player engagement and monetization.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Lead mobile QA for casino games: create and execute test plans, use Charles Proxy, Jira, TestRail, and Confluence, work independently, manage a small team, and step into lead role when needed.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Design and implement full-stack features: build Python back-end services and APIs (Django/Flask), process data (JSON/XML) and pipelines, develop React/TypeScript front-ends, participate in architecture and Agile teams, and use CI/CD and cloud services (preferably Azure).
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Lead design and delivery of enterprise-grade AI automation: architect agentic AI and multi-agent systems, build RAG solutions, integrate AI agents with enterprise systems, define governance and HITL workflows, select foundation models, and mentor teams to deploy production-ready, secure, scalable AI automation.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Design, develop, and maintain Snowflake-based ELT/data warehousing solutions. Implement complex stored procedures, data modeling (star/snowflake), and data transformation processes. Manage incidents and service requests, ensure SLA adherence, and work independently within Agile teams to deliver and support data workloads, metadata, and workload management.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Design, build, and maintain responsive React front-ends and Java/Spring Boot backend services. Create secure, scalable REST APIs, optimize Oracle/SQL queries, write unit tests with JUnit/Mockito, and support CI/CD and containerized deployments. Collaborate with Product, QA, UX, and DevOps teams, manage code via GitHub, and follow best practices for performance, security, and code quality.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Design, develop, and deploy scalable Java microservices and cloud-native applications on Azure. Implement containerization with Docker and Kubernetes/AKS, manage APIs via Azure APIM, leverage Azure messaging and Redis caching, participate in code reviews, and ensure application scalability, security, and reliability.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Design hybrid DB2↔Azure data platforms and cloud ODS solutions with CDC/replication and bi-directional sync. Build data pipelines using ADF, Databricks, Synapse, Event Hub and Azure Functions. Define data models, governance, lineage, reconciliation, and modernization roadmaps while providing technical leadership to engineering teams.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Lead global QA strategy and automation transformation across cloud-native, data-intensive applications. Drive end-to-end QA for UI, API, ETL/ELT, performance and CI/CD integration. Build scalable automation frameworks, oversee data testing and reconciliation, report quality metrics to leadership, and recruit and mentor global QA teams with emphasis on Capital Markets and FX domain expertise.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Design, develop, and maintain Python-based automation solutions and shell scripts, integrate REST APIs, automate onboarding and operational workflows, monitor and optimize automation reliability, and collaborate with cross-functional teams.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Lead automation testing by defining strategies, designing scalable frameworks, and developing/executing functional, regression, and end-to-end tests. Use AI-assisted tools, mentor QA teams, collaborate with stakeholders, analyze defects, and drive automation best practices within the insurance (P&C preferred) domain.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Lead QA activities across the SDLC: create test scenarios, design and run manual and automated tests (UI, API, DB), build and maintain automation frameworks, integrate tests in CI/CD, validate databases with SQL, track defects, support production verification, and mentor junior QA engineers.
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
Lead design and implementation of enterprise test automation and quality engineering strategies. Build scalable automation frameworks for UI, API, integration, and end-to-end testing; integrate tests into CI/CD pipelines; promote shift-left practices; evaluate modern and AI-powered testing tools; monitor automation health; mentor QA teams and define quality roadmaps with stakeholders.



