Top Tech Jobs & Startup Jobs

Operate, maintain and improve AWS environments to ensure reliability, security, and scalability. Monitor system health, diagnose incidents, implement infrastructure as code and automation, enhance monitoring and incident response, collaborate with cross-functional teams, and drive continuous platform improvements and documentation.

Lead design, build, and operation of scalable AI/ML systems (LLM infrastructure, RAG pipelines, autonomous agents). Provide architecture and code guidance, establish ML engineering best practices, CI/CD, safety guardrails, evaluation frameworks, and ensure compliance with data governance and responsible AI standards.

Perform moderately difficult research, design, and software development within a product area. Design program flow, implement backend and frontend features, write and review specifications, apply coding best practices and unit tests, use relational databases, collaborate in Agile/Kanban environments, and resolve technical issues. Participate in code reviews and continuous delivery processes.

Lead global AI-first transformation for legislative content: define strategy, prioritize AI-enabled content generation and workflows, deploy editorial AI tools, set standards, measure quality and outcomes, and build cross-functional capability and adoption.

Lead and perform complex accounting tasks including financial reporting, reconciliations, month- and year-end close, AP/AR processing, budgeting support, process improvement, and compliance. Analyze financial data, work with auditors and tax teams, mentor junior staff, and provide strategic insights to optimize financial performance.

Lead and scale the Helios operational data platform and Analytics & Insights function. Own Snowflake-based data platform, data modelling, governance, and self-service APIs. Deliver insight-driven dashboards, define KPIs, drive data-informed decisions, evolve operating models, and embed AI adoption to improve technology operations.

Lead design, optimization, and management of large-scale databases and backend platforms. Build schemas, optimize complex SQL, develop stored procedures, resolve production issues, implement Java data access layers (JDBC/ORM), support ETL pipelines, and automate DB operations with shell scripting on Unix/Linux.

Senior, consultative, client-facing role partnering with account managers to drive expansion of AI solutions at law firms. Build relationships with firm leadership, conduct senior-level discovery and workflow analysis, design tailored demos and proofs-of-concept, and influence product and post-sales adoption to deliver measurable ROI and revenue growth.

Serve as a consultative customer success consultant for law schools in the Phoenix/Tucson area: assess needs, develop account plans, drive adoption of LexisNexis products, deliver presentations, collaborate with sales/marketing, and uncover revenue opportunities.

Lead an analytics engineering team to embed AI/LLMs into production analytics pipelines while enforcing InfoSec, data governance, and quality controls. Coordinate with product, platform, and InfoSec teams, prioritize AI use cases, ensure validation/monitoring, and drive delivery and stakeholder trust.