Top Tech Jobs & Startup Jobs in NYC, NY

Leads data engineering teams in designing, developing, and supporting scalable batch and streaming data solutions. Responsibilities include data pipeline development, architecture, governance, security, platform optimization, production support, technical mentorship, stakeholder collaboration, and delivery leadership. The role requires hands-on engineering with Python or similar languages, modern data technologies, cloud platforms, DevOps practices, and people-management responsibilities.

Develop and enhance full-stack digital products across frontend and backend systems. Responsibilities include designing, coding, testing, troubleshooting, maintaining applications, contributing to CI/CD and cloud-native practices, and collaborating through Agile ceremonies, paired programming, and knowledge sharing. Senior and Lead engineers additionally mentor teams, influence technical strategy, guide system design, and drive cross-product engineering direction.

Leads an engineering team responsible for designing, building, and operating data security products and controls. Provides technical direction, hands-on engineering leadership, and delivery ownership across DLP policy, data discovery and classification, data access controls, policy-as-code workflows, automation, integrations, testing, deployment, reliability, and operational support. Translates data security requirements into scalable solutions while mentoring engineers and driving adoption of secure engineering practices.

Build, integrate, and operate cloud-native security controls across infrastructure, data platforms, applications, CI/CD pipelines, and enterprise services. Develop CSPM and DLP capabilities, detection logic, automation, and incident-response mechanisms. Integrate controls with SIEM platforms, apply infrastructure-as-code and automated testing practices, and support reliable production operations. Collaborate with platform, application, and product teams to improve cloud security effectiveness and developer adoption.

Designs, develops, tests, documents, and operates large-scale distributed software products for Allstate’s Enterprise Payments organization. Responsibilities include building Java and Spring Boot REST APIs, designing microservices, collaborating on system architecture, practicing paired programming and test-driven development, establishing CI/CD pipelines, improving performance, securing APIs, supporting production applications, and contributing to Agile planning, retrospectives, and knowledge sharing.

Leads the design, configuration, implementation, and support of enterprise IAM platforms, including authentication, authorization, SSO, federation, and access control. Translates complex business requirements into technical designs, supports application integrations and testing, troubleshoots production issues, manages vendor releases and defects, and evaluates platform enhancements. Partners with business, security, infrastructure, application, and vendor teams while mentoring colleagues and maintaining technical documentation and support procedures.

Designs, implements, and runs Java Spring Boot microservices and REST APIs; leads design, CI/CD, TDD, performance tuning, security, and cross-product collaboration. Coaches teams and owns product KPIs and production support.

Design, build, and support cloud-native full stack or backend Java products using TDD, CI/CD, microservices and event-driven patterns. Collaborate with product teams, provide production support, implement monitoring and ensure secure, performant systems.

The Sales Engineering Expert discovers prospective customers’ technical and business requirements, designs and executes evaluations and pilots, and presents tailored solution designs. Responsibilities include building trusted customer relationships, authoring RFI/RFP documents, supporting proposals and statements of work, demonstrating Arity products, advising product teams on roadmap needs, conducting competitive research, and creating presentations and interactive demonstrations for customer engagements, conferences, and events.

Lead the engineering modernization of enterprise data protection and DLP capabilities across cloud, SaaS, endpoints, email, and collaboration platforms. Build automated Policy-as-Code workflows, CI/CD pipelines, reusable controls, integrations, detection logic, guardrails, and operational metrics. Partner with technical, compliance, privacy, legal, and business teams to improve security effectiveness, reduce false positives, automate governance, investigate events, and demonstrate measurable risk reduction.