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Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Own production operations for workplace AI platforms, including configuration, integrations, observability, secrets, access controls, model and prompt changes, benchmarking, and incident response. Translate technical findings into governance, risk, compliance, and training materials while collaborating with Security, Legal, HR, and business stakeholders. Investigate failures, implement mitigations, document root causes, and maintain reliable, secure AI services.
Top Skills:
Access ControlAi/Llm PlatformsAlertingAPIsInfrastructure As CodeJSONLoggingMetricsMonitoring And ObservabilityPrompt EngineeringRpa/Workflow EnginesSecrets ManagementYaml
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Build and lead a scalable application security and secure SDLC program across engineering teams. Establish policies, standards, tooling, vulnerability management, threat modeling, developer enablement, security champions, software supply-chain controls, and executive reporting. Partner with development, platform, DevOps, product, and leadership teams to integrate security into CI/CD, source control, build, release, and deployment workflows while supporting audits, advisories, incident response, and regulatory requirements.
Top Skills:
Api SecurityBlack DuckBurp SuiteCheckmarxCi/CdContainer Security ScanningCyclonedxDastGithub Advanced SecurityGitlab Security ToolsInfrastructure-As-Code Security ScanningKubernetesMendNist Sp 800-218Nist SsdfOwasp SammOwasp ZapSastSbomScaSecrets DetectionSemgrepSlsaSnykSonarqubeSpdxVeracodeVex
AdTech • Artificial Intelligence • Cloud • Digital Media • Marketing Tech • Analytics • Consulting
Lead client-facing analytics consulting engagements, implementing Google Analytics and tag management solutions with minimal oversight. Analyze client data, develop technical strategies, connect marketing platforms, manage project tasks in Asana, communicate with clients, and support consultant mentoring and training. The role requires strong implementation expertise, data visualization skills, project management experience, and familiarity with analytics, customer data, mobile, consent management, and cloud platforms.
Top Skills:
Adobe AnalyticsAdobe LaunchAmazon Web ServicesAsanaData StudioGoogle AnalyticsGoogle Cloud PlatformGoogle Tag ManagerLookerAzurePower BISegmentTableauTealium Tag Management System
Design, build, and deploy secure, high-performance, scalable cloud-native applications supporting Ariba P2P. Work full-stack in Java using Spring Boot and the SAP BTP Cloud Foundry CAP (Java) model, applying resiliency, security, and performance best practices.
Job Title: Full Stack Java Engineer – Ariba P2P CAP Equivalent Framework
Location: Remote
Role Summary:We’re seeking experienced Full Stack Java Engineers with expertise in Spring Boot and SAP BTP (Cloud Foundry) using the CAP (Java) model. Candidates will design, build, and deploy secure, high-performance, and scalable cloud applications supporting Ariba P2P systems.
Required Skills:2–5 years of experience in Java application development
Strong hands-on expertise with Spring Boot / Spring ecosystem
Experience building and deploying cloud-native apps (resiliency, security, performance)
Hands-on with SAP BTP – Cloud Foundry, CAP (Java)
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
