Top Tech Jobs & Startup Jobs

Leads strategy and management consulting workstreams for payer clients, including research, financial modeling, presentations, stakeholder facilitation, and actionable recommendation development. Builds client consensus, supports implementation, contributes to business development and practice initiatives, and coaches junior team members. The role requires healthcare and payer knowledge, strong analytical and communication skills, executive presence, and domestic travel of up to 50%.

Supports client configuration operations, cross-functional project coordination, business testing, release readiness, reporting, and operational documentation for a Medicare benefit program. Maintains process controls, trackers, requirements, test scenarios, defect records, project plans, job aids, SOPs, and governance materials while coordinating stakeholders across technology, quality, business, and capability teams.

Leads an AI/ML engineering team responsible for enterprise connectors, plugins, MCP servers, and integrations across Microsoft, OpenAI, Anthropic, and Google platforms. Oversees team development, intake, technical quality, secure configuration, governance reviews, testing, release readiness, operations, incident response, vendor partnerships, and continuous improvement. Partners with product, business, architecture, security, legal, privacy, identity, and platform teams to deliver reliable, auditable AI integration services.

Leads end-to-end UX/UI design for complex digital products, including research, user journeys, dashboards, prototypes, design systems, and implementation quality. The role provides design leadership, mentors designers, applies AI-enabled workflows, champions accessibility, collaborates with product and engineering teams, and uses usability testing, analytics, and feedback to improve measurable user and business outcomes.

Designs and maintains scalable batch and streaming data pipelines, data warehouses, lakes, and lakehouse architectures. Builds secure, governed, observable data platforms using Spark, Kafka, Snowflake, and cloud technologies. Ensures data quality, reliability, compliance, lineage, and cost efficiency while enabling analytics, machine learning, and AI workloads. Develops CI/CD and infrastructure automation, troubleshoots production issues, documents systems, and mentors junior engineers.

Develops and customizes ServiceNow applications across CSM, ITSM, SPM, and SecOps. Builds workflows, automation, integrations, portals, UI components, and platform scripts; troubleshoots issues and optimizes performance. Participates in Agile ceremonies, stakeholder reviews, UAT, and functional validation while supporting complex platform enhancements and mentoring junior team members.

Leads technical support teams responsible for incident restoration, problem management, system availability, and 24x7 production support. Designs CI/CD pipelines, administers AWS and Kubernetes infrastructure, manages RHEL systems and enterprise middleware, and implements observability using Splunk and Dynatrace. Drives automation through AI tools, RAG frameworks, and agentic systems while ensuring cloud security, compliance, disaster recovery, and continuous operational improvement.

Evaluate and improve IBM i infrastructure reliability, availability, scalability, and serviceability. Consult with application and business teams, resolve complex system issues, define operational standards, lead infrastructure initiatives, and manage execution plans. The role also involves disaster recovery, high-availability environments, replication technologies, performance tuning, capacity planning, and using AI tools to automate workflows and improve operations.

Senior Data Engineer responsible for monitoring enterprise data pipelines, resolving production incidents, implementing data quality checks, automating operational workflows, and improving reliability across pharmacy data environments. The role also involves AI-enabled process optimization, data governance, documentation, technology evaluation, and operational best practices. Required experience includes data engineering, Azure cloud platforms, Scala or PySpark, SQL, Databricks, Airflow, Azure Data Factory, and production pipeline support.

Designs and develops scalable data pipelines, backend services, ETL/ELT workflows, APIs, microservices, and cloud-native applications using C#/.NET, SQL, Azure, and AWS. Responsibilities include database optimization, CI/CD, automated testing, DevOps, data governance, security compliance, and translating advanced technologies into production-ready healthcare solutions. Collaborates with research, engineering, and product teams while supporting ethical, performant, and reusable enterprise capabilities.