Top Tech Jobs & Startup Jobs

Lead product design for agentic fraud and claims workflows: translate investigator expertise into scalable agent behaviors, design human-in-the-loop experiences, own backlog, validate solutions with SMEs, and mentor product teams.

Design, develop, and deliver scalable software systems and APIs across the full lifecycle. Lead architecture, integrate AI/ML components, implement microservices/serverless and CI/CD, ensure security, observability, and performance, mentor engineers, and collaborate with product and business stakeholders to meet timelines and quality standards.

Build and lead Cogniify's talent function from scratch: design scalable recruiting processes, manage a recruiting team, drive bulk and strategic hiring across India and the USA, own ATS/HR tech, manage vendors, shape employer brand, and support HR operations like onboarding and compliance.

Design, build, and operate AWS and Azure cloud infrastructure; own IaC and CI/CD pipelines; manage containerized and serverless workloads; automate operations with scripting; enforce security and cost optimization; support cloud migrations and integrate AI/ML operational needs.

Design, build, and maintain production-grade ETL/ELT pipelines and data models using dbt, Spark, and cloud platforms. Manage ingestion, data quality, observability, semantic layers, and BI outputs. Collaborate with analysts and data scientists to deliver governed, high-quality data products and implement DataOps and CI/CD practices.

Serve as central PMO coordinator for multiple software projects in the BFSI domain: maintain project portfolio, track schedule/scope/budget, produce dashboards and governance reports, manage RAID logs, support Agile ceremonies, coordinate stakeholders, monitor resources and finances, and drive process improvements and compliance.

Lead design and delivery of production-grade ML systems across NLP, CV, recommendation, and forecasting. Own end-to-end ML lifecycle, architect scalable pipelines, drive MLOps maturity (CI/CD, model registry, monitoring), mentor engineers, perform design/code reviews, and align infrastructure with business goals while managing model risk and governance.

Design and own Databricks Lakehouse architectures, lead data engineering and migration projects, build ingestion/transformation pipelines (Python, PySpark, SQL), define data mesh and governance, integrate Databricks with AI/ML (feature pipelines, MLflow, vector/RAG), evaluate emerging table formats, optimize FinOps, mentor engineers, and align cross-functional stakeholders on enterprise-grade data platforms.

Lead design, development, and production deployment of scalable ML systems across domains. Own end-to-end ML lifecycle, architect pipelines and serving, drive MLOps maturity, mentor engineers, conduct design/code reviews, and ensure monitoring, governance, and model reliability in production.

Senior Data Architect contractor to accelerate and modernize the data platform: assess landscape, design end-to-end data solutions, define integration and metadata patterns, enable data mesh and cloud migration (AWS), and produce reusable architecture artifacts for handoff to engineering teams.