Top Tech Jobs & Startup Jobs in NYC, NY

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.

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.

Lead QA team to develop and implement QA strategies, automation frameworks (mobile-focused), integrate testing into CI/CD, measure quality with KPIs, manage defects, mentor engineers, and report testing progress to stakeholders.

Design and iterate intuitive, accessible user interfaces and experiences. Conduct user research and usability testing, create wireframes, prototypes, and high-fidelity UI designs, collaborate with product and engineering, and maintain the design system and style guide to ensure consistent, user-centered digital products.

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 solution architecture and delivery of AI-driven, cloud-native digital platforms. Design microservices, APIs, and integrations, drive discovery and implementation planning, mentor teams, enforce code quality, security, and scalability, and support sprint planning and governance.

Develop and operate Java Spring Boot microservices, deploy and manage services on Kubernetes, perform JVM profiling and heap analysis, load test, diagnose memory leaks, OOMs and P99 latency spikes, remediate security vulnerabilities, and maintain GitHub-based CI/CD and branching workflows.

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.