Top Tech Jobs & Startup Jobs in Austin, TX

Build enterprise workforce management software for forecasting, capacity planning, scheduling, adherence, intraday management, and reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, integrations, and PostgreSQL data models. Support cloud-native deployments, CI/CD, testing, performance optimization, production troubleshooting, and technical design. Collaborate with product, operations research, QA, DevOps, UX, and client stakeholders.

Develop and enhance enterprise AI agents, orchestration workflows, conversational applications, and AI-powered automation using Python, LangGraph, and LangChain. Build capabilities for planning, memory, tool calling, RAG, observability, and enterprise integrations. Collaborate with engineering teams and stakeholders to deliver scalable production-grade generative AI solutions, troubleshoot issues, improve reliability, and establish AI engineering best practices.

Develop scalable Go backend services, REST APIs, microservices, and responsive React applications. Integrate enterprise systems and third-party APIs, contribute to cloud-native distributed architectures, support CI/CD and deployments, and perform testing, debugging, monitoring, troubleshooting, and performance optimization. Collaborate with product, architecture, security, and engineering teams to deliver reliable end-to-end solutions.

Design, develop, test, deploy, and support scalable cloud-native applications using Java, Spring Boot, React, TypeScript, Node.js, PostgreSQL, microservices, and REST APIs. Build CI/CD pipelines, containerized deployments, integrations, observability, and secure distributed systems. Troubleshoot production issues and improve performance, resilience, and maintainability while collaborating with product, UX, QA, DevOps, architecture, and engineering teams.

Build enterprise workforce management software for forecasting, staffing, scheduling, adherence, intraday management, and operational reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, PostgreSQL data models, integrations, and cloud-native deployments. Support CI/CD, production troubleshooting, performance optimization, architecture discussions, code reviews, and stakeholder collaboration across product, QA, DevOps, UX, and operations.

Develop and support scalable cloud-native applications using Java, Spring Boot, React, TypeScript, Node.js, PostgreSQL, and microservices. Responsibilities include building REST APIs, integrations, CI/CD pipelines, containerized deployments, observability, automated testing, and production support. The engineer will collaborate with product, UX, QA, DevOps, architecture, and clients while improving application performance, resilience, and maintainability. Workforce Management, Customer Experience, contact center, cloud, messaging, and secure API experience are advantageous.

Design and build enterprise-scale programmable voice platforms, APIs, call-control services, media processing, and real-time communications infrastructure. Develop Java and Spring Boot backend services, integrate contact-center and CX platforms, and troubleshoot signaling and call-quality issues. Define scalability, security, observability, disaster recovery, and other non-functional requirements. Lead architecture and technical delivery, establish engineering standards, review designs and code, manage technical risks, and collaborate with clients, vendors, and cross-functional engineering teams.

Leads end-to-end delivery of technical speech-enabled IVR and voice solution projects. Manages client relationships, cross-functional teams, technical and business workstreams, governance, planning, risks, dependencies, escalations, and delivery trade-offs. Partners with Product and Technical Leads on backlog prioritization and sequencing while improving delivery processes and ensuring projects meet scope, schedule, budget, and client expectations.

Support and maintain AWS-based Amazon Connect contact center environments. Build proactive monitoring, logging, dashboards, and observability capabilities using Splunk, CloudWatch, and related tools. Troubleshoot production incidents, perform root cause analysis, implement corrective actions, and improve platform reliability. Collaborate with developers, architects, platform owners, and vendors to enforce monitoring standards and enhance operational performance across enterprise CCaaS platforms.

Lead design and architecture of Genesys Cloud CX contact center solutions. Translate business needs into scalable, secure architectures; define technical roadmaps; integrate Genesys with CRM, WFM, analytics and third-party systems; ensure high availability, security, and performance; mentor engineering teams and drive adoption of best practices.