Top Tech Jobs & Startup Jobs

Manage and optimize on-premises and cloud network infrastructure (routers, switches, firewalls, SD-WAN, VPNs). Troubleshoot connectivity and performance, support hybrid cloud networking (Azure/AWS/GCP), implement secure configurations and segmentation, maintain documentation and diagrams, participate in change management, and support automation/IaC initiatives to improve reliability and operations.

Design, build, and optimize orchestrated data pipelines using dbt, Airflow, Azure Databricks, PySpark, SQL and Python. Implement CI/CD and automation, ensure data quality, perform ad-hoc analysis and reporting, collaborate with cross-functional teams, and troubleshoot DAG failures to support data-driven decision-making.

Lead design, build, deploy, and monitor enterprise-scale AI/ML and Generative AI systems. Own end-to-end ML pipelines, scalable inference, vector search and RAG applications, MLOps, observability, governance, CI/CD, model lifecycle management, and production support. Mentor teams, collaborate with stakeholders, and optimize AI systems for scalability, latency, reliability, and cost.

Validate AI voice bot functionality by creating/executing test cases from business documents, running functional/regression/integration/API tests, verifying conversational flows and intent recognition, supporting automation efforts, managing defects, and assisting production validation and release activities.

Design, build, and deploy AI/ML and Generative AI solutions for enterprise use cases. Build and maintain end-to-end ML pipelines, deploy models to production, and implement monitoring, observability, and model-drift detection. Work with APIs, vector databases, embeddings, and RAG-based applications, and collaborate with cross-functional teams to optimize scalable AI deployments.

Lead a Java engineering team to design, build, and operate scalable, secure, low-latency FinTech microservices. Drive architecture, SDLC best practices, cloud deployments, observability, compliance (PCI/GDPR), high-volume data processing, and cross-functional collaboration while mentoring and recruiting engineers.

Design, develop, and maintain full-stack applications using .NET Core, C#, MVC and ReactJS. Build RESTful APIs, optimize SQL Server queries, and apply HLD/LLD and design patterns. Work with microservices, Azure cloud services, containerization, version control, and agile/Scrum practices to deliver high-quality software.

The Senior Engineering Manager will lead the platform team in developing core platforms, optimize performance, ensure security, and mentor engineers.

Recruit and expand a national network of specialty medical offices by outreaching, engaging, and onboarding providers. Track recruitment progress, coordinate with credentialing, maintain provider relations, serve as liaison across teams, and support special projects to ensure compliance and high satisfaction.

Respond to production incidents, monitor systems with Datadog, troubleshoot Kubernetes/Docker environments, support CI/CD and automation, participate in on-call rotations, and collaborate with engineering teams to maintain availability and compliance in regulated healthcare/fintech systems.