Top Tech Jobs & Startup Jobs

Facilitate and execute Scrum ceremonies, coach teams and Product Owner, foster self-organizing teams, resolve conflicts, mobilize delivery towards goals, and support analytics solution delivery.

Lead end-to-end delivery of technical projects using Agile and governance practices. Define scope, create project plans, track progress, manage risks, facilitate Agile ceremonies, and coordinate with architects, cloud, DevOps, security, and business stakeholders to ensure timely implementation.

Design, build, and maintain scalable data pipelines on GCP; migrate data from Teradata to BigQuery; write optimized SQL and Python ETL/ELT; implement monitoring, testing, validation, and reconciliation; document processes and collaborate with analysts, architects, and stakeholders.

Lead delivery and growth for Fortune 50 hi-tech accounts, driving multi‑million AI and GenAI programs. Manage global cross‑functional teams, executive relationships, account economics, proposals, and expand long‑term partnerships while ensuring delivery quality and client satisfaction.

Lead new business development and solution sales within TMT accounts for analytics and AI services. Build multi-threaded client relationships, position Fractal offerings, drive pre-sales and consultative campaigns, and manage account growth and margins across global teams.

Design and build end-to-end generative AI and LLM solutions, research GenAI advances, develop and maintain code libraries, participate in SDLC and code reviews, collaborate cross-functionally, and support NLP, CV, and multimodal model development and deployment.

The Kafka Engineer will design, build, and maintain high-performance data streaming pipelines, manage Kafka infrastructure, and collaborate with teams on integration and security mechanisms.

Lead NLP and generative AI solutions end-to-end: build intent/entity extraction, classification, summarization, search, and chatbot systems. Design, fine-tune, and evaluate LLMs and traditional NLP models, implement production-ready pipelines, collaborate cross-functionally, and drive client-facing consulting engagements in financial services.

Design, implement, and manage multi-cloud CI/CD pipelines and automation. Use IaC (ARM templates/Terraform) to provision Azure resources, maintain build agents and release pipelines, manage Git repos in Azure DevOps, integrate automated testing, implement monitoring, logging, and security best practices, and collaborate with teams to resolve vulnerabilities.

The Cloud Platform Engineer will design and implement cloud infrastructure, automate deployments using Terraform and Argo, develop serverless applications, and collaborate with teams to maintain robust cloud services.