Top Tech Jobs & Startup Jobs

The Data Engineer will design and develop cloud-based solutions, focusing on data processing and data pipeline automation. Responsibilities include coding, performance optimization of ETL pipelines, troubleshooting, and collaborating with clients and team members to implement robust data platforms.

The Network Engineer will design, implement, and maintain complex networking solutions across multiple sites. Responsibilities include managing escalation cases, supporting network operations, and configuring various Cisco devices and security technologies. The role requires extensive knowledge of networking protocols and hands-on experience with LAN and WAN troubleshooting.

As a Senior Support Administrator, you will provide comprehensive support for managed database and application infrastructure, mentor team members, stay updated with new technologies, and collaborate on long-term team roadmaps. Your role involves troubleshooting, managing cloud environments, and maintaining system reliability across various platforms.

As a PostgreSQL Administrator, you will provide complete support for database infrastructure, monitor environments, develop solutions, document standards, and create optimized queries. You will also work with customer teams to understand their needs and author content for the open-source community.

The Oracle Support Administrator will coordinate, design, implement, and administer Oracle database solutions, troubleshoot operational problems, and respond to alerts. The role involves improving operational processes and participating in a shift rotation. Candidates should have expertise in Oracle technologies and some familiarity with SQL Server and cloud environments.

As a Machine Learning Engineer at Pythian, you will focus on building and optimizing machine learning pipelines, deploying models to production, ensuring scalability and reliability, integrating machine learning models, and collaborating with cross-functional teams. Responsibilities include designing and maintaining ML pipelines, deploying models, optimizing performance, integrating with cloud platforms, implementing monitoring systems, and staying updated on ML advancements.

As an Offerings Analyst, you will conduct competitive analyses, manage the offerings catalog, define value propositions, and help package and market new AI service offerings. You'll work closely with sales and internal teams to drive innovation and monitor KPIs, ensuring client satisfaction and business impact.