Top Tech Jobs & Startup Jobs

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.