Top Tech Jobs & Startup Jobs

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Leads the architecture, research, development, evaluation, and production deployment of GenAI and LLM-based healthcare ML solutions. Works with healthcare data, cloud platforms, data engineering, and software teams to deliver SaaS-scale systems. Establishes responsible AI practices, designs RAG and NLP solutions, advises clients, leads technical discussions, mentors teams, manages large projects, and translates technical insights into measurable business outcomes.

Design and deliver large-scale data pipelines and storage/compute solutions on Google Cloud. Build ingestion and processing jobs for terabyte/petabyte workloads, create cloud migration strategies, troubleshoot distributed systems, and develop automation, testing, and monitoring tooling. Collaborate with cloud, software, ML, and operations teams and contribute to proposals and solution designs while ensuring data modeling and governance.

Design and implement scalable enterprise data platforms, ETL/ELT pipelines, data warehouses and lakes. Define data models, governance, security, and architecture standards. Collaborate with product, BI, and data science teams, provide production support, mentor engineers, and evaluate emerging technologies and POCs.

Lead design and implementation of enterprise healthcare integration solutions, define standards, architect EMPI and interoperability (HL7v2/v3, FHIR) implementations, mentor teams, run design workshops, and ensure scalable, secure enterprise integration across large public sector initiatives.

Lead Oracle database migrations to AWS, ensuring minimal downtime and optimized performance. Responsibilities include database tuning, pipeline building, and managing S3 data lakes.

The Strategic Account Manager will drive growth in healthcare accounts, build executive relationships, and manage sales cycles while offering AI, cloud, and data solutions.

Lead the design and development of scalable web applications, focusing on backend architecture with Java and Spring Boot, while mentoring team members and ensuring application quality.

Lead the design and development of scalable backend systems and APIs for intelligent applications while guiding teams and ensuring clean architecture.

The Associate Lead will oversee QA and MLOps for AI systems, defining testing strategies, validating ML lifecycles, and leading quality initiatives with AWS services.