Top Tech Jobs & Startup Jobs in NYC, NY

Designs and develops scalable Java/Spring Boot and Python APIs, microservices, and automated tests. Integrates testing into CI/CD pipelines, supports cloud-native deployments, troubleshoots applications using monitoring tools, and contributes to modernization and AI-assisted engineering. Provides technical guidance, participates in Agile practices, reviews code, and collaborates with business, testing, release management, and global engineering teams.

Design conversational dialogs, prompts, scripts, and interaction flows for virtual assistants, chatbots, and omnichannel digital self-service experiences. Collaborate with product, engineering, research, and business teams in Agile environments; apply user-centered design, research, analytics, and feedback to improve experiences. Work with conversational AI platforms, APIs, datasets, LLMs, NLP, and generative AI technologies while supporting testing, implementation, and measurement under senior designer guidance.

Owns the end-to-end digital workplace experience for approximately 6,000 agency users accessing services from unmanaged devices. Responsibilities include Microsoft 365 administration, identity and access, endpoint compliance, complex troubleshooting, escalation leadership, service ownership, roadmap development, technical account management, support-model improvement, and leadership of a small distributed team. The role partners with Security, Identity, Architecture, Service Desk, vendors, and agency leaders while driving automation, adoption, continuous improvement, and secure technology enablement.

Leads technology strategy, architecture, modernization, and engineering delivery for group benefits enrollment and billing platforms. Owns outcomes across eligibility, enrollment, member data, billing, payments, reconciliation, integrations, data governance, security, resilience, and financial controls. Develops multi-year roadmaps, drives automation and cloud adoption, resolves complex technical issues, and improves engineering practices. Builds and mentors high-performing engineering teams while aligning business, product, finance, operations, data, and enterprise stakeholders around measurable outcomes.

Design and deliver product- and team-level enterprise solutions within a federated EA model. Produce architecture artifacts, guide delivery teams, enable reuse of platform capabilities, lead POCs, mentor engineers, manage dependencies, ensure security and scalability, and support production incident response.

Lead reusable platform capabilities, services, APIs, integrations, tooling, and automation that improve developer productivity and engineering workflows. Own technical initiatives from discovery through production delivery, coordinate dependencies across teams, create architectural documentation, guide platform adoption, mentor engineers, and promote reliability, observability, maintainability, and scalable engineering practices.

Engineer and improve AWS cloud security capabilities across identity, cryptography, PKI, CSPM, CNAPP, workload protection, threat detection, and automated remediation. Design scalable access controls, integrate security platforms, embed controls into infrastructure-as-code and CI/CD workflows, assess cloud risks, support governance and audit readiness, and partner with engineering, DevOps, architecture, compliance, and application teams.

Lead Salesforce Engineer responsible for designing, developing, integrating, securing, deploying, and maintaining enterprise Salesforce solutions, particularly Financial Services Cloud implementations. The role develops Apex, LWC, flows, integrations, data models, Agentforce capabilities, and migration strategies while optimizing platform performance and governance. It also leads release activities, collaborates with business and vendor partners, and mentors distributed development teams.

Lead development and delivery of the AI platform execution layer (agent runtimes, model gateways, orchestration, inference, retrieval). Own roadmap, partner across teams, ensure scalable, secure, observable, multi-tenant production runtimes, and drive engineering excellence, compliance, and operational resilience for AI workloads.

Leads enterprise API platform strategy, modernization, governance, and delivery. Establishes API security, performance, lifecycle, and engineering standards; modernizes legacy integrations; drives API adoption and reuse; improves developer tooling and self-service; partners with architecture, cybersecurity, and platform teams; and builds high-performing engineering organizations. The role requires enterprise-scale API and integration architecture expertise, strong security knowledge, stakeholder influence, and extensive engineering leadership experience.