Top Tech Jobs & Startup Jobs

The GCP & Big Data Engineer will design and maintain scalable data pipelines on Google Cloud, optimize data processing, and ensure data quality.

Perform deep-dive analytics using advanced SQL to analyze customer behavior, redemptions, and campaign performance. Build data validation frameworks, ensure accuracy of loyalty and financial metrics, and collaborate with Product, Marketing, and Engineering to validate feature rollouts and deliver data-driven insights.

Design, develop, and implement enterprise software. Analyze requirements and user stories, track work in Jira, write and test code, build integrations across UI, middleware, and backend, perform system and regression testing with JMeter/Insomnia/Postman, and deploy applications using Topaz and ServiceNow. Coordinate technical delivery and travel to US job sites as needed.

Design and build production-grade GenAI systems using LLMs and RAG. Develop Python data pipelines with vector databases, optimize latency, perform prompt engineering and fine-tuning, integrate frameworks (LangChain, LlamaIndex, Hugging Face) into cloud (AWS/Azure/GCP), and implement automated testing, model monitoring, and reliability practices.

Design and implement large-scale GCP-based data platforms and ETL using PySpark/Spark, BigQuery, Dataproc, Composer/Airflow. Process and analyze large datasets, write SQL, collaborate on BI delivery, and work in a mature Agile team.

Manage and grow client relationships as primary account contact: identify upsell opportunities, resolve issues, collaborate with internal teams, craft proposals and contracts, negotiate pricing, attend networking events, and monitor client satisfaction to drive retention and revenue.

Manage and grow client accounts by building strong relationships, identifying upsell opportunities, resolving issues, collaborating with internal teams, creating proposals/contracts, negotiating pricing, and reporting on account performance to drive revenue and retention.

Design, build, and deploy generative AI solutions including prompt engineering, agentic/autonomous workflows, RAG pipelines, and conversational AI. Manage knowledge bases and MCP server integration, orchestrate LLM applications, and collaborate with cross-functional teams to deliver production-ready AI systems.

Design, run, and analyze large-scale performance tests (endurance, stress, chaos) using JMeter across cloud/Kubernetes environments. Troubleshoot low-latency, high-throughput systems, leverage observability tooling and GenAI/AI-assisted tools to accelerate test development and root-cause analysis.

The Software Developer oversees quality control, manages project scope, gathers requirements, and develops cloud architecture, while utilizing various programming and project management tools.