Top Engineering Jobs in New York City, NY

Design and implement scalable enterprise data architectures, including logical, physical, operational, and analytical data models. Establish data governance, quality, security, privacy, and management standards while supporting cloud-based data products. Partner with product owners, architects, engineers, scientists, and business stakeholders to translate requirements into solutions. Evaluate data platforms, optimize performance, modernize legacy technologies, support integration and streaming, and drive organizational transformation across insurance and financial services initiatives.

Lead design, development, integration, and optimization of enterprise Salesforce solutions (Apex, LWC, Visualforce) for customer, field service, and agent experiences. Provide technical leadership, mentor engineers, implement CI/CD and integrations, troubleshoot performance/security, and evaluate emerging Salesforce and AI capabilities to support digital transformation.

Lead strategy and delivery for shared enterprise platforms (Illustrations, Tax, Policy Generation, Integration Services). Modernize legacy systems to cloud-native, API-first, event-driven architectures. Build and develop large engineering teams, drive architectural decisions, ensure reliability, security, scalability, observability, CI/CD, SRE practices, and reduce technical debt while delivering measurable business outcomes.

Lead design and development of enterprise Salesforce solutions (Apex, LWC, Visualforce), architect integrations, optimize platform performance, implement automation/CI-CD, troubleshoot complex issues, mentor developers, and deliver scalable customer, agent, and employee experiences using AI-powered Salesforce capabilities.

Lead application readiness and remediation coordination for AWS, EOL, and vulnerability patches. Validate impacts, define smoke and regression tests, drive automation, resolve dependencies, escalate blockers, and secure production sign-off to ensure audit-ready closure.

The role involves developing scalable solutions for AWS cost optimization, implementing FinOps tooling, automating cost governance, and collaborating with finance and engineering teams to drive cost awareness.

Design, build, and operate secure, scalable AWS cloud platforms using IaC (Terraform), Kubernetes/EKS, and automation. Implement SRE practices, build reusable platform tooling (Python/Go), integrate security and compliance, improve observability and incident response, and collaborate with architecture, security, and application teams to support production environments.

Lead design, development, and deployment of scalable Salesforce solutions (Apex, LWC, Flow). Build secure integrations with MuleSoft and AWS, implement event-driven architectures (Platform Events, CDC), collaborate with UX and data teams, enforce CI/CD and DevOps best practices, and modernize the shared Salesforce platform leveraging AI and automation.

Hands-on senior quality engineer building automation-first test frameworks across API, UI, integration, data, and end-to-end workflows. Use AI/GenAI tools to accelerate test design, triage, and coverage. Improve unit test strategy, CI/CD quality gates, observability, and resilience. Analyze defect patterns, create quality dashboards, and partner with engineering and product to increase automation coverage and reduce escaped defects in regulated wealth management systems.

Build and maintain React + TypeScript front-end applications, create prototypes, contribute reusable components and tests to shared libraries, integrate APIs and data services, and collaborate with designers, product, data scientists, and engineers to deliver data-driven decision intelligence products.