The role involves software engineering support in software development, application integration, troubleshooting, scripting, and SaaS application configuration for an Aerospace and Defense company.
Responsibilities
Software engineering support in software development
Lead product management for Gogolook’s Anti‑Scam Common Services, defining roadmap, APIs, and developer experience for internal and external customers.
Responsibilities
Define and manage the Anti‑Scam Common Services roadmap spanning data ingestion, reputation services, shared reporting, and AI‑ready interfaces.
Translate business needs into measurable product priorities and balance reusable shared‑service investments against one‑off requests.
Treat internal product managers, business developers, and engineers as first customers and improve self‑service adoption.
Lead product development for source registration, data import, metadata, ingestion contracts and monitoring.
Own product priorities for shared risk services covering phone numbers, URLs, content, and report handling.
Requirements
Bachelor's degree or equivalent in Computer Science, Engineering, or related field
Nice to have: Experience building or managing internal developer platforms
Nice to have: Experience with shared services used by multiple teams
Nice to have: Experience with anti‑scam, trust and safety, cybersecurity, fraud prevention, identity, risk intelligence, or reputation services
Nice to have: Experience with enterprise customers, government agencies, or telecom operators
Lead the architecture, design, and integration of mission‑critical state and local government systems, bridging legacy environments with next‑generation cloud architectures.
Responsibilities
Architect and execute robust integration strategies for Health & Human Services solutions
Lead end‑to‑end integration of legacy mainframe systems with modern multi‑cloud architectures across AWS, Azure, and GCP
Establish secure data pipelines, design comprehensive data models, schemas, and API ecosystems
Write and review Infrastructure as Code, database configurations, and full‑stack integration modules
Leverage AI‑accelerated development frameworks to expedite code generation and automated testing
The Data Engineer II is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products.
Compensation
Compensation includes a base salary in the range of $89,400.00 - $134,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Responsibilities
Process Structured and Unstructured Data
Ensure data quality and implement tools and frameworks for automating the identification of data quality issues
Work with internal and external data providers on data validation and provide feedback and customized changes to data feeds and data mappings
Partner with analytics organization to design viable data solutions
Recommend improvements to processes, technology, and interfaces that improve effectiveness and reduce technical debt
Requirements
Bachelor’s degree in Computer Science or related field
Master’s degree in Computer Science or related field
Lead the internal developer platform product, owning the roadmap, customer experience, and outcomes for developers, architects, and platform engineers.
Responsibilities
Own the problem, the customer and the outcomes for a programme or product line
Lead discovery with developers, architects and platform engineers
Advocate relentlessly for developer experience
Translate customer needs and business strategy into clear, testable requirements
Make prioritisation and trade‑off calls balancing customer value and product health
Must Have Skills:
Expert experience with Adobe Analytics and Adobe Customer Journey Analytics is required
Experience with Adobe Experience Platform (schemas, datastreams, datasets, connections, data views)
Strong troubleshooting and data analysis skills
Nice to Have Skills:
Data analysis
Experience with Target Reporting in Customer Journey Analytics and joining to profile datasets is preferred
Education:
Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, Data Science, or related field.
Carnegie Hall seeks a temporary, part-time, 14-hours per week Digital Collections Assistant to monitor, quality check, and catalog digital assets.
Compensation
$25.00 hourly
Responsibilities
Monitor, quality check, and catalog all incoming digital assets that are added to Carnegie Hall’s digital asset management system. This includes images, audio, and video files.
Respond to internal and external requests for access to assets. Process requests and provide required materials.
Inventory and catalog physical media in preparation for digitization projects.
Create authoritative keywords in internal database following library science and archival metadata standards.
Requirements
Master’s degree program in Archival Management or Library and Information Science
Nice to have: Experience with normalizing large andor complex data sets
Lead engineering for complex eTrading features, modernize front office platforms, architect low latency systems, and drive technical excellence across global teams.
Compensation
$122,000.00 - $200,000.00 annualized salary, offers to be determined based on experience, education and skill set.
Responsibilities
Ensure design and engineering approach for complex features aligns with portfolio solution
Define technology tool stack and evaluate new testing tools
Enable CI/CD capabilities and engage stakeholders
Guide team on design and best practices
Provide end-to-end delivery of complex features
Requirements
Bachelor Degree or Equivalent Professional Experience
AI Product Lead (Anti-Scam Common Services)NewGogolook · Taipei, Taiwan
DIRECTOR, SAPCreative Information Technology, Inc. · Falls Church, US
Temporary Digital Collections AssistantCarnegie Hall · New York, US