Top Tech Jobs & Startup Jobs

Lead and deliver client- and EXL-specific process training for BPO operations: manage classes, coach trainees, assess calls/transactions against quality criteria, compile reports, coordinate training administration, liaise with stakeholders, and provide remediation or take calls as needed.

Provide end-to-end claims litigation support for a US P&C insurer, including case intake and transfer, records ordering and follow-up, chronology and summary preparation, document review and redaction, privilege logs, interrogatory response support, legal correspondence, document management, billing review, and deposition scheduling and summarization.

Perform ITGC and application control design and operating effectiveness testing for SOX compliance across cloud and on-prem systems. Assess IT risks, manage user provisioning/SoD, lead SAP S/4HANA security activities, document test workpapers, liaise with clients and external auditors, and support remediation and risk mitigation efforts.

Design, implement, and manage scalable, secure Azure cloud infrastructure and data platforms. Build CI/CD pipelines, automate with IaC (Terraform, Helm, Ansible), containerize workloads (Docker, Kubernetes), manage databases and Databricks/Unity Catalog, and maintain monitoring, logging, and access controls. Troubleshoot complex issues and participate in on-call rotations.

Develop and deploy production-ready AI applications and LLM pipelines using Python and FastAPI. Build data ingestion, inference, embeddings, vector stores, and RAG systems on GCP (Vertex AI, Cloud Run/Functions, BigQuery, Cloud Storage). Use orchestration frameworks (e.g., LangChain) and implement CI/CD, testing, and integrations while applying advanced prompt engineering and recommending new AI tools.

Design, build, and maintain GenAI production pipelines and LLM-based workflows. Implement RAG architectures with vector DBs, handle document ingestion/extraction from unstructured sources, debug models, define evaluation metrics, communicate insights, and mentor junior engineers to deliver scalable generative AI solutions.

Analyze large transactional datasets, write and maintain complex SQL queries and stored procedures, optimize query performance, ensure data quality, collaborate cross-functionally, and build reusable data models and analytical frameworks for reporting and dashboards.

Hands-on engineering role to design, build, and maintain scalable ETL/ELT data pipelines, data warehouses and lakes, and data models. Optimize batch and near-real-time processing, implement query optimization and data quality checks, support AI data workflows, and collaborate with architects, analysts, and stakeholders.

Lead and oversee GAN solutions across the organization, drive high-impact GAN initiatives, ensure alignment with organizational goals, and provide executive-level strategic guidance.

Design and implement scalable Microsoft-based solutions (Azure/.NET), lead cloud migrations, define architecture, mentor engineers, ensure code quality/security, collaborate with stakeholders and resolve complex technical issues.