Top Tech Jobs & Startup Jobs

Analyze workforce demand, capacity, utilization, staffing, skills, pipeline, and delivery risks. Manage resource-allocation workflows, develop workforce intelligence, recommend staffing and hiring actions, escalate operational exceptions, and support delivery operations. Partner with Delivery, Sales, Talent, and Finance while improving processes, data integrity, automation, and operational decision-making.

Analyzes workforce demand, capacity, utilization, staffing, skills, pipeline, and delivery risks. Manages resource-allocation workflows, supports forecasting and delivery operations, identifies operational exceptions, and provides data-driven recommendations to leadership. Partners with Delivery, Sales, Talent, and Finance to improve workforce planning and decision-making. Uses AI, automation, analytics, and operational systems to improve data quality, reduce manual work, and implement scalable process improvements.

Analyzes workforce demand, capacity, utilization, skills, staffing, forecasting, and delivery risks. Partners with Delivery, Sales, Talent, Finance, and other teams to create workforce plans, resolve operational exceptions, and provide decision-ready insights. Manages resource-allocation workflows, operational governance, data integrity, and delivery operations. Uses analytics, AI, automation, and operational systems to improve workflows, identify trends, and support scalable business decisions.

Build and support enterprise Amazon Connect contact center solutions using conversational AI, Amazon Bedrock, Claude, serverless AWS services, TypeScript, Python, and React. Develop contact flows, AI agents, routing, analytics, custom agent tools, infrastructure as code, CI/CD pipelines, automated tests, monitoring, and security controls. Lead production deployments and migrations, troubleshoot incidents, collaborate directly with customer engineering teams, mentor engineers, contribute reusable platform assets, and support technical presales activities.

Build and support enterprise Amazon Connect contact center solutions using generative AI, serverless AWS services, TypeScript, Python, React, and infrastructure as code. Responsibilities include developing AI agents, contact flows, routing, analytics, portals, integrations, CI/CD pipelines, monitoring, security controls, testing, migrations, and production cutovers. The role involves customer collaboration, architecture contributions, mentoring, incident response, accessibility compliance, and occasional pre-sales support.

Build and support enterprise contact center solutions using Amazon Connect, generative AI, serverless AWS services, and full-stack TypeScript, Python, and React development. Create conversational AI agents, contact flows, integrations, infrastructure-as-code, CI/CD pipelines, automated tests, observability, and accessibility-compliant tooling. Collaborate directly with customers, lead technical sessions, troubleshoot production systems, contribute to architecture decisions, mentor engineers, and support proofs of concept and knowledge transfer.

Design and harden enterprise Databricks lakehouse platforms: workspace and permission architecture, ingestion and streaming pipelines, Unity Catalog integration, CI/CD and automation (Terraform/ConfigOps), governance, cost and performance optimization, documentation, and mentoring delivery teams to enable safe self-service and production readiness.

Design and harden enterprise-scale Databricks data platforms: workspace/persona models, Unity Catalog integration, batch and real-time PySpark pipelines, CI/CD and Terraform automation, governance guardrails, cost and performance optimization, migration planning, and stakeholder-facing architectural documentation and roadmaps. Mentor delivery teams and ensure production readiness and scalability.

Design and harden enterprise-scale Databricks lakehouse platforms on AWS. Lead workspace consolidation, governance, CI/CD/ConfigOps, streaming/batch pipeline design with PySpark, Unity Catalog integration, performance and cost optimization, documentation, and mentor delivery teams to enable governed self-service.

Senior QA Engineer responsible for designing and executing test strategies for Amazon Connect contact centers, building manual and automated Playwright/Cypress/Selenium suites across UI, API and serverless backends, validating migrations and production readiness, running UAT, incident triage, and mentoring junior QA engineers.