Top Tech Jobs & Startup Jobs in Austin, TX

Business Analyst responsible for gathering requirements, analyzing business data, writing SQL queries, evaluating data models and ETL workflows, and improving data quality. The role documents functional requirements, develops reports and dashboards, supports UAT, identifies process improvements, and communicates insights to stakeholders. Collaboration with business teams, developers, data engineers, and QA teams is central to the position.

Designs and maintains AWS cloud infrastructure, CI/CD pipelines, Docker containers, and Kubernetes workloads. Automates provisioning and configuration, monitors system reliability, troubleshoots deployment and networking issues, applies cloud security controls, and collaborates with development, QA, and infrastructure teams to support scalable application delivery.

Designs, maintains, and optimizes CI/CD pipelines across development, staging, and production. Automates build, testing, deployment, and infrastructure processes using cloud platforms, containers, and infrastructure-as-code. Monitors pipeline performance, troubleshoots deployment failures, integrates automated testing, improves release management, and collaborates with development, QA, and operations teams.

Develop and maintain SQL-based data workflows, ETL pipelines, scalable data models, and data quality checks. Troubleshoot pipeline failures, database performance issues, and data inconsistencies while optimizing queries and supporting integrations across systems. Collaborate with engineers, analysts, and stakeholders; monitor data processing, document workflows, participate in code reviews, and automate process improvements. The role is fully remote but limited to candidates residing in San Francisco and authorized to work in the United States.

Design, implement, and manage scalable, secure, and cost-effective cloud infrastructure. Configure cloud networking and security, automate provisioning with Terraform, monitor performance, troubleshoot issues, support migrations, collaborate with engineering and DevOps teams, and optimize cloud resources and costs.