Staff Technical Lead Health Features, Backend, Data Infrastructure New

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

This is a key role in ensuring the reliability, integrity, and accessibility of the data that powers Google Health's products and research, affecting millions of people's lives. You will lead the team responsible for our family of services which power devices' lifecycle (setup, customization and updates), data ingestion and critical health features. You are expected to shape our technical direction, and ensure your contributions align with our broader strategy and business goals. You will ensure a deep understanding of the team's blockers and leverage AI to increase velocity across the stack and code quality, while bringing meaningful AI experiences to our users.

The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables. We aim to make consumer health more personal, proactive, and actionable.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Romania: lei500000 - lei515000 (RON) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Lead and mentor a talented team of software engineers, fostering a culture of technical excellence, collaboration, and impact. Apply experience in coding and innovation with AI to increase velocity and ensure code health.

Define and drive the technical strategy, architecture, and roadmap for Google Health's feature and data ingestion. Balance priorities, and make technical trade-offs.

Ensure the systems meet stringent requirements for security, privacy, compliance (e.g., HIPAA), scalability, and reliability, given the sensitive nature of health data.

Oversee the entire software development lifecycle of the team's services. Collaborate closely with product management, research, and other engineering teams. Advocate best practices in software development, data engineering, and productization of backend services.

Comply with all company health and safety policies, procedures, and legal requirements.

Minimum qualifications:

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

8 years of experience in software engineering, with a focus on data infrastructure or backend systems.

5 years of experience managing a team of software engineers and guiding system architecture and design.

Experience designing, building, and operating large-scale, distributed backend systems.

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field.

Experience with large-scale cluster management and container orchestration, particularly Kubernetes.

Familiarity with data privacy and security principles, and with standards like HIPAA.

Familiarity with wearables/IoT devices, their technical capabilities and limitations.

Familiarity with database technologies and principles (e.g., Spanner, BigQuery, SQL/NoSQL, and with data processing frameworks (e.g., Flume, Beam, Spark).