Top Engineering Jobs

Design and build scalable web applications on AWS using React, TypeScript, Python, and DevOps practices. Ensure code quality through Agile/Scrum delivery, unit and integration testing, code reviews, documentation, and engineering design specifications. Optimize application performance, database queries, caching, response times, logging, and troubleshooting while applying security fundamentals and enabling CI/CD.

Lead a large engineering organization to design, pilot, and roll out reference architectures and AI-ready data platform capabilities. Build and operate cloud-native data pipelines, feature and vector stores, observability and governance standards, and mentor senior technical leaders while driving enterprise-wide architectural modernization.

Design, build, and optimize Amazon Connect contact flows and call routing. Implement backend integrations using AWS Lambda (Python/Node.js/Java), use version control, troubleshoot systems, and collaborate with cross-functional teams to support migration from Genesys to AWS Connect and improve routing strategies.

Designs, implements, and maintains cloud infrastructure across Azure and Kubernetes environments. Develops Terraform infrastructure as code, builds CI/CD pipelines, and automates Datadog observability dashboards, monitors, and alerts. Collaborates with development and security teams on compliance and cloud security, while monitoring infrastructure costs and implementing optimization measures. The role is fully remote within the United States and requires strong cloud, container orchestration, and infrastructure engineering expertise.

Leads solution and systems architecture for cloud-based enterprise contact center and voice platforms. Designs AWS services, Amazon Connect integrations, SIP routing and recording solutions, infrastructure as code, CI/CD pipelines, security controls, observability, and production support. Partners with business, engineering, platform, and security teams to drive cloud transformation and AI-enabled customer interactions, including virtual agents, agent assist, call summarization, analytics, and seamless bot-to-agent experiences.

Designs and deploys enterprise-scale software, AI-powered data solutions, cloud databases, and automated ETL/ELT pipelines. Builds distributed data platforms using Spark, Scala, Python, and Java; develops SQL procedures; manages Azure data technologies; and implements CI/CD, DevOps automation, testing, performance tuning, and code reviews. Collaborates with engineering and architecture teams in an agile cloud environment while applying responsible AI practices.

Design, build, test, deploy, and maintain distributed software systems using modern engineering practices. Collaborate with AI Studio teams and engineering leaders to solve business problems, improve performance, reliability, cost, and security, and deliver scalable service-oriented applications. Conduct code reviews, mentor junior engineers, and contribute across the full software development lifecycle, including architecture, testing, operations, and cloud deployment.

Leads full-stack Java software development from requirements and architecture through coding, testing, deployment, maintenance, and operational support. Designs scalable applications, documents technical specifications, ensures security and coding compliance, troubleshoots defects, coordinates with QA and infrastructure teams, and supports release management. Also designs and deploys AI-powered solutions using no-code, low-code, and advanced platforms.

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.

Defines enterprise architecture strategy, target-state architectures, and technology roadmaps across Finance, Procurement, and other corporate systems. Leads vendor assessments, architectural due diligence, governance, reference architecture, portfolio rationalization, and transformation initiatives. Evaluates AI and automation capabilities, advises business and technology leaders, mitigates architectural risk, and mentors architects and engineering teams.