Top Tech Jobs & Startup Jobs

Design, govern, and evolve the product units end-to-end data and analytics architecture. Establish standards and guardrails for ingestion, transformation, storage, and consumption; drive platform scalability, cost control, reliability, and remediation of technical debt; align with enterprise architecture; evaluate emerging data and AI technologies; mentor senior engineers and guide platform components into shared infrastructure.

Process end-to-end vendor invoices and employee expense reimbursements, maintain accurate purchase ledger and documentation, support month/year-end and weekly pay runs, respond to vendor queries, support R2R team, propose process improvements and apply enterprise AI tools to automate workflows.

Design, develop, and maintain cross-functional software components; define technical requirements and architecture; resolve complex bugs and performance issues; apply best coding and testing practices; design scalable data models; work in Agile/Waterfall environments; review code; and mentor junior developers.

Design, develop, and review software components and specifications. Implement and maintain Java/J2EE cloud-native applications, build web UIs, write tests, use CI/CD, monitor production systems, mentor junior engineers, and resolve technical issues.

Design and evolve software and system architecture, evaluate and introduce new technologies, lead cross-functional teams to troubleshoot complex issues, monitor system health, and drive architecture direction and shared infrastructure initiatives.

Design and deliver production-ready AI, NLP, and generative AI solutions for scientific knowledge discovery. Build LLM-powered workflows, RAG systems, retrieval/ranking/recommendation features, integrate ontologies and metadata, establish evaluation and monitoring, write production Python, and provide technical leadership and mentoring.

Designs and executes functional, integration, regression, and load tests; develops automated tests and test plans; identifies root causes and process improvements; collaborates with PMs and technical leads to ensure quality, maintain records for audits, and implement test automation and tooling to improve efficiency.

Build, design, and deploy cloud-hosted distributed applications to support scientific research. Collaborate with stakeholders and cross-functional Agile/DevOps teams, contribute to architecture and delivery improvements, and apply test-driven development practices.

Design, build, and deploy predictive models for risk and fraud using R, Python, SAS, and SQL. Analyze large datasets, develop cloud-based analytic solutions, validate scoring code with stakeholders, and document statistical methodologies and best practices.

Partner with legal teams to identify and automate legal workflows using generative AI. Design demos, run pilots and trainings, support adoption, measure ROI, and feed customer insights into product and GTM strategies.