Top Tech Jobs & Startup Jobs in NYC, NY

Configure and maintain IAM platforms, SSO, MFA, identity federation, RBAC, provisioning, access reviews, and enterprise application integrations. Troubleshoot authentication and authorization issues, monitor identity security events, support compliance, automate processes with scripting, and collaborate with IT, security, infrastructure, and application teams.

Design, deploy, and maintain AI-powered applications and scalable cloud infrastructure. Responsibilities include managing AWS or Azure environments, implementing Terraform-based infrastructure, containerizing services with Docker, supporting AI/ML workload scaling, and establishing monitoring, logging, and alerting. The role also involves troubleshooting deployments, automating workflows, collaborating across engineering and data teams, documenting procedures, and following security and reliability best practices.

Develop and maintain scalable full-stack web applications using Java, Python, and JavaScript. Build backend services, responsive frontend components, and REST APIs; write tests, debug issues, optimize performance, and use Git-based workflows. Collaborate with cross-functional teams through code reviews and Agile development while maintaining application security, reliability, and scalability.

Design, develop, test, and maintain desktop applications for Windows, macOS, and Linux. Build responsive user interfaces, integrate REST APIs and third-party services, optimize performance and security, troubleshoot issues, and conduct unit and integration testing. Collaborate with product, engineering, UI/UX, and backend teams while participating in code reviews, documentation, and software deployment processes.

Develop and optimize data pipelines using Python and SQL; integrate data through REST APIs; support ETL/ELT workflows; perform data cleaning, validation, and quality checks; troubleshoot processing issues; use Git for collaborative development; document workflows; and collaborate with engineers and analysts in a remote environment.

Business Analyst responsible for gathering requirements, analyzing business data, writing SQL queries, evaluating data models and ETL workflows, and improving data quality. The role documents functional requirements, develops reports and dashboards, supports UAT, identifies process improvements, and communicates insights to stakeholders. Collaboration with business teams, developers, data engineers, and QA teams is central to the position.

Designs and maintains AWS cloud infrastructure, CI/CD pipelines, Docker containers, and Kubernetes workloads. Automates provisioning and configuration, monitors system reliability, troubleshoots deployment and networking issues, applies cloud security controls, and collaborates with development, QA, and infrastructure teams to support scalable application delivery.

Designs, maintains, and optimizes CI/CD pipelines across development, staging, and production. Automates build, testing, deployment, and infrastructure processes using cloud platforms, containers, and infrastructure-as-code. Monitors pipeline performance, troubleshoots deployment failures, integrates automated testing, improves release management, and collaborates with development, QA, and operations teams.

Develop and maintain SQL-based data workflows, ETL pipelines, scalable data models, and data quality checks. Troubleshoot pipeline failures, database performance issues, and data inconsistencies while optimizing queries and supporting integrations across systems. Collaborate with engineers, analysts, and stakeholders; monitor data processing, document workflows, participate in code reviews, and automate process improvements. The role is fully remote but limited to candidates residing in San Francisco and authorized to work in the United States.

Design, implement, and manage scalable, secure, and cost-effective cloud infrastructure. Configure cloud networking and security, automate provisioning with Terraform, monitor performance, troubleshoot issues, support migrations, collaborate with engineering and DevOps teams, and optimize cloud resources and costs.