Top Hybrid Software Engineer Jobs

Managing a team of Support Engineers to help Enterprise customers with technical use cases and integrations, advocating for customers with internal teams, collaborating cross-functionally, and leading projects to improve support operations.

Technical Account Managers at Retool ensure the technical success of strategic accounts by working closely with customers to maximize the usage and impact of Retool. They serve as the primary technical liaison, advocate for customer needs within Retool, present technical content to diverse audiences, organize hackathons, address technical challenges, and drive adoption at accounts.

Site Reliability Engineer II responsible for service stability and reliability through defining monitoring strategies, capacity planning, production readiness, and collaboration with product teams. Must have a Bachelor's degree and 3 years of experience, with expertise in orchestration tools, system configuration, building highly available applications, virtualization, automation, and Linux System Administration.

Lead the development and implementation of analytical capabilities and applications, creation of machine learning models and pipelines, development of personalization services, technology proof of concept projects, standardization of machine learning algorithm framework, collaboration with Data Scientists and Analysts, addressing complex technical challenges, analysis of data for insights, and mentoring junior engineers.

Lead Machine Learning Engineer responsible for developing and implementing analytical capabilities, building machine learning models and pipelines, overseeing technology projects, standardizing machine learning framework, analyzing data for insights, and mentoring junior engineers.

Lead Machine Learning Engineer responsible for developing analytical capabilities, machine learning models, and data products/services for a healthcare marketplace. Collaborate with data scientists, analysts, and mentor junior engineers. Requires 7+ years of experience in building machine learning systems at scale with expertise in Python, Scala, Golang, AWS, GCP, Azure, Databricks, Apache Spark, and deep learning frameworks.

Manage and implement great experiences using SaaS and cloud platforms, assist with integrations, perform technical audits, develop documentation, identify business enablement opportunities, deploy custom technology, and manage provisioning and business applications in a cloud-based environment.

Join our Data Engineering team and lead projects end-to-end to build analytical products and make data-driven decisions at scale. Create tools and software frameworks to support engineers and end users. Drive improvements and ensure the usability of analytical data.

Lead a team of Integration Engineers to deliver a great customer experience and get customers live efficiently with robust integrations that scale well. Collaborate with other teams and drive initiatives to grow the organization. Help define and execute strategic initiatives to advance the function's objectives.

Lead a team of Implementation Engineers in San Francisco to deliver exceptional customer experiences and robust integrations. Collaborate with other teams to drive global IM initiatives and advance function's OKRs. Build and manage a diverse team, set goals, and drive process change for operational success. Understand the challenges of global commerce and develop effective relationships with global teams.

Lead a team of Solution Engineers in San Francisco to deliver a great customer experience and get customers live efficiently with robust integrations that scale well. Collaborate with other teams to drive initiatives and advance the function's OKRs. Experienced in managing and coaching teams, integration projects, and driving global process change within a global organization. Understands the dynamics of working in a global organization and challenges of global commerce.

Primary liaison for the Global Data Management Team in implementing cutting-edge Data Orchestration solutions, specifically leveraging PEGA and integrating with S4 systems. Responsible for planning and executing Data Orchestration initiatives, managing strategy and technology capabilities through PEGA CoP Framework, and partnering with other teams to ensure seamless integration of data processes and systems.