Top Tech Jobs & Startup Jobs in NYC, NY

Leads architecture, design, and delivery of complex enterprise applications and multi-component systems. Works across React interfaces, Python microservices, data pipelines, and AWS infrastructure. Drives technical strategy, system performance, reliability, and technical debt reduction while coordinating cross-functional initiatives. Mentors engineers, promotes engineering standards, and integrates AI-assisted development tools throughout the SDLC. Requires strong full-stack and data architecture expertise, architectural judgment, and experience delivering scalable production systems.

The Sales Leader for Life Insurance is responsible for acquiring new customers, developing executive relationships, and driving sales of technology services to Life Insurance companies, focusing on AI and cloud solutions.

Design, build, and ship agentic AI systems and a Perplexity-style conversational search UI for Humana. Implement retrieval, planning, tool-use, grounding, and evaluation pipelines; integrate heterogeneous internal data sources; deploy and operate solutions on GCP; ensure observability, guardrails, and continual quality improvements while collaborating on-site with a cross-functional pod.

Design and deliver scalable, production-grade machine learning platforms and Python SDKs; architect agentic and multi-agent AI systems; build FastAPI-based APIs; implement CI/CD with Jenkins and GitLab Runners; establish observability with Galileo; mentor MLEs and drive architectural decisions for cloud-native, distributed AI services.

Design, optimize, and scale multi-GPU infrastructure for GenAI/LLM workloads. Perform GPU profiling and benchmarking, manage Slurm and Kubernetes/OpenShift clusters, enable NVIDIA GPU stack, build GenAI pipelines (fine-tuning, RAG, multi-modal), create IaC templates, and support production deployments and client engagements.

Manage and optimize mission-critical SQL Server databases hosted on AWS EC2 for a high-availability trading application. Responsibilities include performance tuning, database administration, HA/DR implementation, backup and recovery, security and compliance, monitoring, incident response, capacity planning, and 24/7 on-call support. Collaborate with developers, DevOps, and architects on database changes, production deployments, documentation, and disaster recovery testing.

Designs and maintains Snowflake-based cloud data pipelines and lake architectures for asset-based finance and mortgage servicing analytics. Leads legacy-system migrations, ETL/ELT development, data validation, reconciliation, and financial integrity controls. Translates business requirements into Jira epics and user stories, supports project planning, testing, cutover, and go-live readiness, and coordinates with business, finance, operations, and technical stakeholders.

Lead the design, development, testing, deployment, and optimization of scalable distributed applications and web services. Build Python/FastAPI backend services, ReactJS interfaces, and PostgreSQL data systems. Deploy and monitor cloud-native applications on GCP, collaborate on AI/ML integrations, contribute to architecture and SDLC practices, and mentor junior developers through code reviews and technical leadership.

Leads complex technical programs across engineering, product, infrastructure, security, and operations teams. Defines objectives, roadmaps, milestones, dependencies, and success metrics; coordinates APIs, data flows, integrations, and non-functional requirements. Manages risks, escalations, stakeholder communication, launch readiness, cutovers, rollback plans, monitoring, SLOs, runbooks, and post-launch validation. Requires strong program management fundamentals, technical fluency, and experience driving cross-team software, platform, or infrastructure programs.

Design and scale GenAI/LLM infrastructure for multi-GPU environments, perform GPU profiling and optimization, manage Slurm/OpenShift/Kubernetes clusters, enable NVIDIA GPU stack, build GenAI pipelines and IaC templates, and support production deployments and client engagements.