Top Tech Jobs & Startup Jobs

Design and build automation for M&O activities, develop Salesforce PNRM solutions (Apex, LWC, Visualforce), implement monitoring/insights, perform incident triage/RCA and deliver production-ready fixes, enable AI-driven operations, collaborate in an onshore-offshore model, and ensure release readiness and SDLC compliance.

Lead product strategy and roadmap for an enterprise AI modernization of medical record review. Align business, clinical, and technical stakeholders to integrate LLMs, intelligent document understanding, and autonomous coding across Optum/UnitedHealthcare systems, define success metrics, ensure compliance and responsible AI, and drive adoption and operational outcomes.

Lead enterprise AI strategy, architecture, and delivery to scale generative AI, LLMs, agents, and reusable AI platforms. Build and run multidisciplinary teams, establish governance and MLOps/LLMOps practices, partner with stakeholders to translate business priorities into production AI capabilities, and ensure responsible, secure adoption with measurable business outcomes.

Design, build, and maintain automated test solutions and frameworks, integrate testing into CI/CD pipelines, leverage AI-powered testing and analytics, collaborate with cross-functional teams, and ensure quality for cloud-native applications while driving continuous improvement.

Leads multiple healthcare mergers and acquisitions, including target evaluation, synergy modeling, valuation, financial due diligence, transaction agreement analysis, executive presentations, and risk assessment. Coordinates cross-functional diligence teams, researches industry trends and acquisition opportunities, advises senior leadership, serves as a key transaction contact, and coaches junior M&A professionals.

Provide production and operational support for Amazon Connect and NICE CXOne contact center platforms. Investigate incidents, troubleshoot integrations and telephony issues, coordinate major outage response, perform root cause analysis, monitor application health, support deployments, manage vendor escalations, maintain runbooks, and drive platform stability improvements. Participate in 24x7 on-call rotations and collaborate with engineering, infrastructure, network, security, and application teams.

Own the technical architecture and hands-on engineering direction of a large-scale Expo and React Native member application across iOS, Android, and web. Responsibilities include setting standards, reviewing code, resolving complex production issues, mentoring engineers, managing release readiness and Bitrise pipelines, defining micro-frontend boundaries, and partnering on APIs, authentication, security, and major platform integrations.

Develop and maintain complex data pipelines and data sources using Snowflake, Airflow, Azure, SQL, and Python. Integrate on-premises and cloud data, build transformation routines, data models, stored procedures, masking solutions, monitoring tools, and automated data quality controls. Create CI/CD pipelines with GitHub Actions and collaborate with architects, analysts, and data stewards to deliver reliable analytics foundations. The role also supports scalable payment integrity data solutions and requires knowledge of data warehousing, integration, and security practices.

Build and deploy AI-powered, LLM-based solutions in client environments. Implement integrations between models, APIs, and healthcare systems, write production-ready code, support testing and deployments, assist data preparation and prompt configuration, troubleshoot issues, and collaborate with cross-functional teams and clients to deliver scalable, secure solutions and enable knowledge transfer.

Designs canonical data models, scalable Snowflake pipelines, analytics-ready datasets, governance and quality frameworks, and AI/ML-enabled data solutions. Optimizes Snowflake performance, cost, reliability, observability, and fault tolerance across cloud and hybrid environments. Collaborates with analytics, BI, data science, product, and AI/ML teams to deliver trusted data assets supporting reporting, machine learning, RAG, embeddings, and LLM applications.