Top Tech Jobs & Startup Jobs

The Senior DevOps Engineer will develop and maintain automation solutions, support network design, ensure high availability, improve monitoring, and handle incident management.

Lead architecture, design, and delivery of enterprise-scale Agentic AI solutions. Oversee multiple engineering pods, mentor teams, manage client-facing architecture discussions, ensure production-grade MLOps, cloud infrastructure, microservices, observability, and adoption of emerging AI technologies.

Design and build large-scale ETL/ELT pipelines and analytical architectures on GCP. Assess, plan, and drive enterprise data and cloud migration programs, modernize legacy systems, optimize query performance, and enable scalable cloud-native solutions for clients.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

The role involves leading analytics delivery to clients, managing relationships, ensuring account growth, and solving complex business problems through data science in various sectors, primarily CPG and Retail.

Lead high-impact data science initiatives, build ML models, manage analytics projects, communicate insights, and collaborate with teams to drive business outcomes.

Lead development of supply-chain and pricing optimization solutions: refactor Python optimization code using OOP, build predictive and optimization models for inventory, replenishment, and allocation, collaborate with cross-functional teams, design experiments, monitor KPIs, and mentor other data scientists.

The role involves building scalable ELT/ETL pipelines on GCP, utilizing SQL and Python, and managing security and infrastructure automation while ensuring real-time processing and resource provisioning.

The Finance Director will lead the finance team, overseeing financial planning, analysis, and management practices to support the company's growth and performance optimization.

Design, develop, and operationalize time-series and ML-based forecasting models for demand planning, inventory, replenishment, logistics, and sales forecasting. Collaborate with stakeholders, lead workshops, translate business needs into scalable analytics, and present insights to senior client teams.