Top Tech Jobs & Startup Jobs

Lead solution architecture and design for microservice-based systems, collaborate with product and data teams, produce high-level designs and data contracts, guide development teams, run POCs, promote reuse, and ensure delivery using AWS, containers, Kafka, and CI/CD within Agile/Lean practices.

Design, evaluate, and productionize generative AI/ML solutions (RAG, agents, embeddings, retrieval). Build evaluation frameworks for hallucination detection, benchmark LLMs, optimize prompts/models, create datasets, fine-tune models, and collaborate to deploy and monitor enterprise-scale GenAI systems.

Design, build, deploy, and operate production-grade AI agents and multi-agent systems. Implement RAG, agent orchestration, copilots, observability, memory patterns, and enterprise integrations while ensuring governance, reliability, and onshore/offshore delivery.

Lead product strategy and roadmaps for marketing and e-commerce platforms, optimize CRM-driven customer journeys, collaborate with engineering and data teams, measure KPIs, and drive engagement, acquisition, retention, and digital revenue growth.

Lead development of scalable AI/ML capabilities for Mail Intelligence: build LLM- and ML-based personalization, data pipelines, tools, and observability. Mentor engineers, collaborate cross-functionally, run A/B tests, implement feedback loops, and balance cost/quality/speed tradeoffs to deliver production-grade solutions.

Design and implement scalable data pipelines and orchestration on GCP to support AI/ML-driven mail intelligence. Build stream and batch processing, ensure data governance and quality, optimize workflows, create visualizations, and collaborate with US cross-functional teams to align technical strategy and recover from failures.

Design, build, and maintain scalable Java/Spring Boot backend services and RESTful microservices. Implement event-driven architectures with Kafka, manage PostgreSQL schemas and queries, ensure performance and security, troubleshoot production issues, collaborate across teams, participate in code reviews, and operate services on Kubernetes with CI/CD workflows.

Serve as product owner for an Android mobile app: define vision, write epics/user stories, prioritize roadmaps, drive technical design and metrics, coordinate cross-functional teams (engineering, data science, clinical, design), and deliver healthcare-focused mobile features using Agile/SAFe practices.

Lead the CI/CD platform delivery and reliability using Azure DevOps; define IaC/Terraform standards and multi-cloud AWS patterns; run zero-downtime and multi-region deployments; own observability, security scanning, and secrets management; evaluate AI/LLM platform needs; manage offshore senior developers and report roadmap, risks, and delivery metrics to engineering leadership.

Lead a team of 5-6 data engineers to design and implement scalable data pipelines (Airflow), manage Snowflake data architecture, build real-time streaming solutions with Kafka/Spark Streaming, develop and integrate APIs, enforce code quality, and drive technical decisions and best practices.