Top Tech Jobs & Startup Jobs in NYC, NY

Design, develop, deploy, and support secure, scalable mobile applications and cloud-native solutions. Build React Native applications, integrate REST APIs, improve performance and reliability, and apply mobile security best practices. Drive automation, CI/CD, DevSecOps, incident management, observability, and cloud operations using AI-enabled tools and Infrastructure as Code. Collaborate with stakeholders and vendors, influence technical decisions, and continuously improve engineering practices and platform capabilities.

Designs, develops, deploys, and supports secure, scalable mobile applications and cloud-native solutions. Builds React Native applications and integrates native iOS or Android capabilities, REST APIs, authentication, secure storage, and performance optimization. Drives reliability through CI/CD, monitoring, automation, incident management, and DevSecOps. Coordinates integrations across platforms, applies AI-enabled development practices, and influences technical decisions while collaborating with stakeholders and vendors.

Lead design and delivery of scalable, secure full‑stack features and services. Build maintainable front-end and backend code, implement integrations and data models, enable cloud-native CI/CD workflows, use containers and IaC, and act as a technical leader influencing architecture and delivery across teams while leveraging AI-assisted tools.

Leads an engineering team delivering secure, scalable, reliable technology solutions. Oversees planning through release, staffing, performance management, technical decision-making, risk resolution, stakeholder alignment, and delivery health. Partners with Product, Architecture, Security, Platform, QA, vendors, and business teams. Promotes cloud-native development, CI/CD, automation, testing, observability, maintainability, secure practices, and continuous improvement while fostering accountability, collaboration, communication, and team growth.

Leads the creation of Stellarus’s performance engineering and test automation function. Owns automated performance, load, stress, scalability, reliability, regression, and end-to-end testing systems, CI/CD quality gates, performance standards, synthetic workloads, observability-driven analysis, dashboards, and release readiness criteria. Partners with developers and platform engineering across cloud-native services, Kubernetes, APIs, databases, and event-driven systems. Mentors technical teams, leads readiness reviews, and builds a high-leverage team while remaining hands-on with tooling and strategy.

Leads engineering teams delivering secure, scalable, reliable services, integrations, cloud-native applications, and enterprise technology capabilities. Defines roadmaps, standards, governance, KPIs, and operating models; develops talent; guides complex technical decisions; drives modernization, automation, AI adoption, reliability, and technical debt reduction. Partners with product, architecture, security, infrastructure, vendors, and executives while managing delivery, budgets, resources, risks, and organizational performance.

Lead design and delivery of scalable, secure cloud data pipelines and products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0/dimensional), embed data quality, observability, security, and DataOps/CI-CD practices, optimize performance and cost, mentor engineers, and enable AI/ML-ready datasets within an agile DevSecOps model.

Design, build, and operate scalable cloud data pipelines and platforms (Azure preferred). Implement DevSecOps, CI/CD, automated testing, monitoring, performance tuning, and production readiness. Mentor engineers, drive operational excellence, and translate requirements into robust technical designs. Apply healthcare domain knowledge and collaborate in agile teams to deliver secure, reliable data products.

Lead design and implementation of scalable cloud data lakes, warehouses, and marts. Build ELT/ETL pipelines, apply Data Vault 2.0 and dimensional modeling, implement data quality, lineage, observability, and governance. Optimize Snowflake/Databricks/Synapse platforms, champion CI/CD and DataOps, mentor engineers, and enable AI/ML-ready data products through collaboration with architecture and product teams.

Lead and grow platform, cloud, and DevSecOps teams to modernize delivery pipelines, implement CI/CD and GitOps, ensure secure, multi-cluster platform operations, align engineering strategy with business priorities, and establish an enterprise tools team supporting Linear, Notion, and ITSM.